6th International Conference 19-21 November 2015 at Mysuru, India Editors Dr. Nitin Kumar Tripathi Dr. S. Balasubramanian Dr. V Rajesh Chowdhary
Message Global healthcare is steadily recognized as the H. H. Jagadhguru Sri Shivarathri essence of individual human beings sustenance. The Deshikendra Mahaswamij essence of global health care is an idea that is Chancellor something as valuable as health and viewed as an JSSU – Patron individual’s right. To facilitate healthcare systems, India mapping the healthcare is the critical aspect of future healthcare tools. In this context, Geographical Information System (GIS) is becoming integral part of better health care research in recent years to sensitize and forecast, analyze disease patterns and locate health care facilities. As stated by Demers “GIS is not only about Geography but THINKING geographically”. This will be the perpetual objective of our forthcoming 6th International conference on Health Geographical Information Systems – Geo ICT for Epidemic control and Healthcare. The theme of the conference is a subject of grave concern not only in India, but across the world. We as the citizens anticipate that healthcare planning, particularly at the community level, will be substantially improved by developments in informatics which will be through the application of GIS to public health practice and research. The conference will be a means to harness the visualization power of GIS that will leverage mapping technologies. I take this opportunity to congratulate the Vice Chancellor, JSS University, Dr. Nitin Tripathi and his team from Asian Institute of Technology, Thailand and Khon Kaen University, Thailand for organizing a timely conference that will take place from the 19th – 21st November 2015. I wish every success to all the participants of this conference.
Message Global Healthcare system is becoming serious Dr. B. Suresh business as it represents a nation’s GDP. Today, Chairman, HealthGIS 2015 improving healthcare often means bettering people’s President, Indian Pharmaceutical lives while reducing excess burden on national Association economies. During the process of bettering people’s Vice Chancellor, JSS University life, the health care sector ultimately faces basic Mysuru, India challenges of operations, logistics, resource allocation, customers and management. The one tool that the healthcare industry has begun to embrace in recent years is the geographic and geospatial information systems (GIS). GIS has become important tool to any modern health care organization that wants to more efficiently examine information for better strategic directions. By using location as a logical nexus, GIS allows scientists and GIS professionals to evaluate the interplay of factors that affect health care delivery and the operations of providers. The opportunities to apply GIS to health care are myriad that will transform nation’s health care system in the near future. Therefore, it gives me immense pleasure to be a part of this transformation that will be achieved through the forthcoming 6th International Conference on Health Geoinformatics. This conference congregation is intended to bring together the best minds in public health to share innovative ideas about using geographical techniques for investigating spatial epidemiology, analyzing disease patterns, locating healthcare facilities, modelling health determinants, and airborne reconnaissance. The conference is well focused on the current necessities to improve the healthcare system. This will provide plethora of opportunities for our students, scholars and scientists to explore on global developments on GIS healthcare systems. As stated by Victor Hugo, “An invasion of armies can be resisted, but not an idea whose time has come”. I assure that this forthcoming conference from 19th – 21st November 2015 will provide that platform required for exchange of great ideas for betterment of healthcare systems. I take this opportunity to congratulate the one and all in the organizing committee (JSS University, Mysore India, AIT and Khon Kaen universities Thailand) for their tremendous effort in bringing forth conference that has a direct impact on healthcare communities to JSS campus, Mysore.
Foreword The 6th health International conference on Emerging Challenges in Geo ICT for Epidemic Control and Healthcare will be held the JSS University campus from 19th – 21st November 2015. JSS University is an NAAC accredited A grade university located in the Garden city, Mysore. The primary objective of the this international conference is to provide an unprecedented opportunity for academician/scientists, professionals and scholars from geoinformation sciences, and related disciplines to discover cutting-edge geoinformatics technology and applications, while at the same time exchanging their ideas, research results, professional Dr. Balsubramanian Organizing Secretary, Health GIS 2015 experiences, and future visions in the fields of JSS University India geographic information science, and their applications, spatial epidemiology, analyzing disease patterns, locating healthcare facilities, modelling health determinants. Additionally, the conference will provide a setting for discussing geographical information systems relevant to public health which will greatly help in mapping the future of community health care systems in the world particularly in India. The conference will aim in creating a forum for further discussion for an integrated GIS technology incorporating a series of issues and /or related to health care community that will have capability to link together health information from a variety of different data sources and to recognize spatial data patterns that suggest where cost-effective public health interventions can be applied. The conference will include a pre-conference workshop, plenary, keynote, oral, and poster sessions. We are extremely happy to host the 6th International Health Geoinformatics conference at JSS University Mysore. I welcome all the participants of the conference and hope that each one of the participant has a “Take Home Message” from the conference. With every best wishes
Foreword All the species on the Planet Earth including homo-sapiens Professor Nitin K. Tripathi have been impacted by climate and environmental Organizing Secretary, Health GIS 2015 changes. Health of all living things is directly related to Asian Institute of Technology temperature, rainfall, air, soil, water, vegetation and dynamics Bangkok, Thailand of natural phenomenon. We are also impacted by other living E-mail: [email protected] creatures around us. Situation has further deteriorated and fast becoming alarming due to manmade socio-economic, Dr. V Rajesh Chowdhary human habitat conditions and life style. Human health is Program Coordinator- HealthGIS 2015 going through impact of numerous emerging vector borne Asian Institute of Technology diseases, communicable and non-communicable diseases. Bangkok, Thailand Dengue, Chikun Gunya, Bird Flu, Swine Flu, Malaria, Diarrhea, E-mail: [email protected] Hand-Foot and Mouth Disease and many others which were non-existent before 6 or 7 decades. These are becoming like epidemics in many parts of the world now. Ever-rising socio- economic stress, life style and eating habits are also causing increase in heart related diseases and cancer. Number of patients are far growing in almost all developing countries thus creating a huge gap between capacities to provide health care for all. New technologies may synergize with medical care and patient and healthcare data/ information to develop systems for information retrieval, dissemination and move towards developing IT interphases to extend support to healthcare personnel and patients in managing and ensuring better healthcare. Geographic Information Systems combine all technologies at one platform and provides a framework to store data, analyse, retrieve information, location, causes of disease and also support management of patients for better healthcare. Association for Geo-Information Technologies and Geoinformatics International have been organizing international conferences on GIS and Health in India and abroad. I am very happy that 6th International Conference on Health GIS is being jointly organized in Mysuru by JSS University Mysuru and Geoinformatics International during 19-21 November 2015 in partnership with Khon Kaen University, Mahasarakham University, and Asian Institute of Technology. It is also relevant to have a theme of Geo ICT for Epidemic Control and Healthcare for 6th Health GIS Conference. I would like to welcome the distinguished delegates, sponsors, Keynote and Plenary Speakers for very fruitful deliberation and sharing experiences. This platform is unique as the venue for the first time of this conference is right inside a hospital where many public health officers, doctors, decision makers and IT professionals will get a chance to meet each other and understand various issues to develop new technologies for epidemic control and better healthcare. Wish you a very useful congregation and happy memories.
Content a c Message f g Foreword m v Committees y 1 Program Schedule 20 29 Keynote Speakers 42 Plenary Speakers 52 Workshops Session 72 Technical Session 1: 83 Theme: Vector Borne Disease 92 Technical Session 2: Theme: HealthGIS Database and Emerging Disease Technical Session 3: Theme: Emerging Disease Technical Session 4: Theme: Health and IT - Student Session Technical Session 5: Theme: IT for Healthcare and Telemedicine Technical Session 6: Theme: Health and Environment Technical Session 7: Theme: Wellbeing and Preventive Healthcare System Posters Session
Committees International Committee Prof. Venkatesh Raghavan , Osaka City University, Japan Dr. Durairaju Kumaran Raju, Singapore Prof. P. K. Joshi , Jawaharlal Nehru University, India Dr. Shahnawaz, University of Salzburg, Austria Prof. I. V. Murali krishna, Dr Raja Ramanna DRDO Distinguished Fellow, India Prof. Choosak Nithikathkul, Mahasarakham University, Thailand Prof. Pisit Chareonsudjai, Khon Kean University, Thailand Dr. V. Rajesh Chowdhary, Asian Institute of Technology, Thailand Mrs. Archana Tripathi, Geoinformatics International, Thailand National Advisory Committee H. H. Jagadhguru Sri Shivarathri Deshikendra Mahaswamiji – Chancellor, JSS University, India Sri. B. N. Betkerur – JSS University, India Dr. B. Suresh – JSS University, India Dr. H. S. Ballal - Manipal University, India Dr. Shivaji Rao Kadam - Bharti Vidyapeeth University, Pune, India Dr. S. Natarajan - Gandigram (Rural University) , India Dr. S. M. Ramasamy – Department of Science and Technology Dr. Ramananda Shetty - NITTE University, Bangalore, India Dr. Manas K. Mandal - Defence Research and Development Organization, New Delhi, India Dr. Bhoop Singh – Department of Science and Technology, India Dr. V. Jayaraman – Indian Space Research Organisation, India Dr. S G S Swamy – Karnataka State Council for Science and Technology, Bangalore, India Dr. A. Balasubramanian - University of Mysore, Karantaka, India Dr. R. K. Somashekar - Bangalore University, Karnataka, India Dr. S. Anbazhagan - Periyar University, Tamil Nadu, India Dr. Prashanthi Devi. M - Bharathidasan University, Tamil Nadu, India Dr. Dhanraj S, Dean, Global Engagement, JSS University, India Prof. Suchat Areemit, Dean, Faculty of Medicine, Mahasarakham University, Thailand Prof. Pramote Thongkajai, Deputy Dean, Faculty of Medicine, Mahasarakham University, Thailand Dr. GVRK Acharyulu, University of Hyderabad, India Scientific Committee Dr. Dattatri K. Nagesha, FLS Dr. Mamatha HK, DHSMS Dr. Madhu B, DCM, JSSMC Dr. Anup G, DCM, JSSMC Dr. Sheeba, DCM, JSSMC Dr. P V Salimath, JSSMC
Program Schedule Time (Hrs) 19 November, 2015 08:00-17:00 09:30-10:00 Event 10:00-11:15 Registration in JSS University, Mysore, India Opening Ceremony of Preconference Workshops 11:15-11:30 Workshop 1: Telemedicine 11:30-12:45 Dr. Pradeep Desai, GE Global Research, Technology Leader – Software Sciences and Analytics, 12:45-13:30 Tea Break 13.30-15.15 Workshop 2: Malaria and Geospatial Research using 3S Technologies Dr. Vasna Joshua, National Institute of Epidemiology, Ministry of Health, ICMR 15:15-15:30 Lunch 15:30-17:00 Workshop 3: GIS Based Referral System and its Advantages in a Healthcare System Dr. Hemanth Misra, Philips India Pvt. Ltd. Tea Break Workshop 4: Smart Cities to Smart Health Dr. Shrutin Ulman, Philips India Pvt. Ltd, India Time (Hrs) 20 November, 2015 08:00-18:00 09:00-10:30 Event 10:30 Registration in JSS University, Mysore, India 10:30-11:00 Opening Ceremony 11:00-12:30 Inauguration of Exhibition and Poster Session Tea Keynote Session 1: Innovations in Health IT (Main Auditorium) Chairpersons: Dr. I.V. Muralikrishna and Dr. Wongsa Laohasiriwong 1. Prof. Hamdy Ibrahim ElGamily, Kuwait Institute for Scientific Research, Kuwait 2. Prof. P. K. Joshi, Jawaharlal Nehru University, India 3. Dr. Shyama Nagarajan, Executive Director & Leader, Public Health Advisory Services, India 4. Dr. Madhu Raikwar, Director, Central Bureau of Health Intelligence, India 5. Dr. March Souris, IRD, France 12:30-13:30 Lunch 13:30-15:00 Keynote Session 2: Enabling Health for All Geospatially (Main Auditorium) Chairpersons: Dr. Nitin Kumar Tripathi and Dr. Dattatri K. Nagesha 1. Prof. Venkatesh Raghavan, Osaka University, Japan 2. Prof. I. V. Murali Krishna, Dr Raja Ramanna DRDO Distinguished Fellow, Hyderabad, India 3. Dr. Poonchai Chitanuntavitaya, Chief Medical officer, Social Health Enterprise, Thailand 4. Dr. Jagdish Chaturvedi, Director, Clinical Innovation & Partnerships, Innaccel, Apollo Hospital, India
15:00-15:30 Tea and Poster Session 15:30-17:00 Technical Session 1: Vector Borne Disease Chair Session: 1. Dr. Wutjanun M. 2. Prof. P. K. Joshi Plenary Speech: GIS for Public Health in Thailand by Dr. Wutjanun M., Mahidol University, Thailand Spatial Epidemiology of Highly Pathogenic Avian Influenza (H5N1) in Viet Nam Sumeet Saksena, Jefferson Fox, Chinh Tran C., Duong Nong H. and Lam Nguyen Strengthening Geographic Information System Capacity for Dengue Control through a Collaborative Network Chayanin Pratoomsoot, Chada Narongrit, Sakda Homhuan and Chingchai Humhong IR Mapper: An Interactive Tool for Visualizing Insecticide Resistance in Malaria Vectors Duncan Athinya, Melinda Hadi and Helen Pates Jamet Climate Change Effects on Chikungunya Transmission in Tiruchirapalli District of Tamilnadu: Geospatial Analysis of Vector’s Habitat Suitability and Virus’ Temperature Requirements Brindha, B., Prashanthi Devi M. and Hemanth Kumar H. Random Forest Regression Variable Selection and Prediction Model for Malaria Transmission Modelling in Mpumalanga, South Africa Michael Gebreslasie and Thandi Kapwata Role of Geospatial Techniques in the Vector Borne Disease Outbreak Prediction and Patient Diagnosis S. K. Katiyar Geographically Weighted Regression Model for Liver Fluke Distribution in Khon Kaen Province of Thailand Pipat Reungsang and Rittirong Junggoth Geo spatially Controlling Dengue the Worst Epidemic Thiyagarajan J. Kantharaj, Sasikumar Balasundaram, Sakthivel Anbu, Senthilkumar S. Sambandan ,Ghouse Mohamed Shaik 15:30-17:00 Technical Session 2: HealthGIS Database and Emerging Disease Chair Session: 1. Prof. Hamdy Ibrahim ElGamily 2. Prof. B. Krishna Mohan, IIT Bombay Plenary Speech: Some Applications of GIS and RS in Health Issues by Prof. B. Krishna Mohan, IIT Bombay Access to Healthcare Facilities and the Prevalence of Diabetes in Rural South India: the UDAY-GIS Study Balaji Gummidi, Nikhil, S. V., Safraj, S., Rao, B., Tandon, N., Prabhakaran, D., Reddy, K. S. and Mohan, S. Identification of Gene Expression in Microarray Images using Noise Reduction Valarmathi, S., Sridhar, S., Harathi, P. B., Prashanthi Devi M. and Balasubramanian, S. An Index and a Spatial Portray of Illiteracy and Its Covariates of Chennai City Vasna Joshua and Venkatasubramanian, S.
Spatial Ecological Analysis of Taluk-Level Satellite Particulate Matter Concentrations and Lung Cancer Incidences: A Study in the Western Districts of Tamil Nadu, India Janani Selvaraj, Prashanthi, Devi. M. and Harathi, P. B. Spatial Analysis of Population at Risk through Estimation of PM2.5 Exposure Index Janani Selvaraj, Anupama Natesh, Prashanthi Devi. M., Harathi P. B. and Hemanth Kumar H. Spatio-Temporal Epidemiological Pattern of Breast Cancer - A Case Study of Southern Karnataka, India Madhu, B., Srinath, K. M., Vidyalakshmi, R., Prashanthi Devi M., Ashok, N. C. and Balasubramanian, S. Healthcare Accessibility and Geospatial Analysis - A Case of Greater Mumbai Rupanjali Dasgupta and Souvik Bandopadhyay Atypical Infiltrating Ductal Carcinoma –A Case Report Surya. B. and Murali, R. 18:00– 20:00 Dinner Reception in Regaalis Hotel Time (Hrs) 21 November, 2015 08:00-12:00 09:00-10:30 Event Registration Technical Session 3: Emerging Disease Chair Session: 1. Mr. Nishant Maloo, Tata Trust 2. Dr. T S Sridhar, IAS (Retd.) Plenary Speech: Facilitating service reach and management of Anemia in adolescent girls through application of GIS and process digitization Tasneem Raja, Sandeep Chavan and Nishant Maloo Prevalence and Spatial Epidemiology of Chronic Obstructive Pulmonary Diseases in an Industrial Town of India: An Interim Analysis Arun Kumar Sharma, Kalra, O. P., Saini, N. K., Mukesh Kumar and Sulabh Saini Spatiotemporal Mapping of Cervical Cancer Incidence in Songkhla, Thailand Shama Virani, Jun Zhaoand and Hutcha Sriplung Poisson Probability Mapping Of Breast Cancer for Small Estimates in a Region Madhu, B., Srinath, K. M., Vidyalakshmi, R., Prashanthi Devi M., Ashok, N. C. and Balasubramanian, S. Cerium: A Rare Earth Metal That Could Make Caries Rare??? “Effect of Application of Cerium Chloride on Mineralization and Carious Lesion Progression in Human Enamel Invitro” Revathi Jaisingh, Raghavendra Shanbhog and Nandlal Bhojraj Mapping and Analysis of Fluoride Hazard in Integrated Dharmapuri District using GIS Latha, K. C., Manjula Devi, Prashanthi Devi M. Balasubramanian, S. IOTN Index Based Perceptions of Orthodontic Treatment Need Among Children, Their Parent and Orthodontist: A Spatial Study of Mysore Rural Taluk Bhagyalakshmi, A. and Shivalinga, B. M.
Malaria on a Global Forum: A Peek into Dental Implications Anitha Subbappa 09:00 -10:30 Workshop: FOSS4G Tools for Participatory Field Data Aggregation Lecturers : 1. Prof. Venkatesh Raghvan, Osaka City University, Japan 2. Dr Ravi Kumar, OS Geo, India 10:30-11:00 Tea and Poster Session 11:00-12:30 Technical Session 4: Health and IT - Student Session Chair Session: 1. Dr. Vasna Joshua 2. Dr. Mamatha HK Cholangiocarcinoma Prevalence and Spatial Analysis of Geographic Information System, Roi Et Province, Thailand Jesada Surawan, Witthaya Radmad, Phaiboon Pensuwan and Choosak Nithikathkul DHF Surveillance Model in Sri Sa Ket Province, Thailand Klarnarong Wongpituk , Siripen Kalayanarooj, Anothai Trivanich, Pacharamon Promsuan and Choosak Nithikathkul Prevalence and Spatial Distribution of Opisthorchis viverrini in Si Sa Ket Province, Thailand Wilas Kampangsri, Pipat Reungsang, Pacharamon Promsuan and Choosak Nithikathkul Epidemiology of Opisthorchis Viverrini by using Geographic Information System in Roi-et Province Wilas Kampangsri, Pipat Reungsang, Pacharamon Promsuan and Choosak Nithikathkul Using Geographic Information System in Mapping Risk Zones of Leptospirosis, Thailand Sravan Sajja and Nitin Kumar Tripathi Meaningful use of Electronic Health Record: A Patient Centered Health Care Perspective Devesh Dubey and Priya Thomas Understanding Spatial-Temporal Patterns of Cholera using Geographic Information System and Statistical Methods Shuchi Mala and Mahesh Kumar Jat Healthcare Technology – Applications of Telemidicine in Rural Healthcare Settings Bharath Gavini and Mohanraj Rathinavelu Assessment of Road Safety Knowledge and Practices among Undergraduates in a Medical College in Kancheepuram District, Tamil Nadu Christina Christopher and Murali. R. Real Time Cardiac Monitoring System using Wearable Sensors Priyanka Kakria, Nitin Kumar Tripathi and Peerapong Kitipawang 11:00-12:30 Technical Session 5: IT for Healthcare & Telemedicine Chair Session: 1. Dr. Jagadish Chaturvedi 2. Prof. GVRK Acharyulu
Plenary Speech: Prof. GVRK Acharyulu An Empirical Study on Adoption of Digital Healthcare Practices in Urban Areas M. Mallika Rao, GVRK Acharyulu and M. Bhaskara Rao KoboCollect in Disease Surveillance Rajeev Aravindakshan Clinical Outcome, Economic Impact of Teledentistry Sushma Rudraswamy and Nagabhushana Doggalli Disease Mapping using Bayesian Model Approach in Matlab Mamatha, H. K., Divya Rao, B. J., Sridhar, R., Prerana, M., Balasubramanian, S. Capturing of Attention using Nuerosky Bluetooth Technology Integrating with GIS Sridhar, R., Konda Reddy, Latha, K. C and Balasubramanian, S. Designing a Geospatial System for Health Management Balbir Singh and GVRK Acharyulu Managing the most dreaded Infection Dysentery with Health Geo spatial website Shridhar T. Srinivasan IAS Rtd, Yogun Gandhi Raja, Janakiraman Radhika, Babu Doraismy, Ramakrishnan Venugopal Venkatachalam and Ghouse Mohamed Shaik Geo Spatial Data Base for Managing Health Issues in Private Public Participation Mode Thiyagarajan Jayaraman Kantharaj, Mohanram Govindarajulu, Damodharan Rangama Naidu, Muralidharan Balakrishnan, Tamilarasan and Ghouse Mohamed Shaik 12:30-13:30 Lunch 13:30-15:00 Technical Session 6: Health and Environment Chair Session: 1. Dr. Rittirong Junggoth 2. Dr. Sumeet Saksena GIS In Planning, Implementation and Monitoring of National Health Programme - National Leprosy Eradication Programme Reetika Yadav and Anil Kumar Animal Health Management and Intensive Livestock Production Analysis by using GIS and Remote Sensing Ravi Kumar, N. Mohammed, Abhimanu and A.K. Kataria Spatial Epidemiology and Prevalence of Mycobacterium avium Subspecies paratuberculosis Infection in Cattle Herds of Tamil Nadu Vinodh Kumar, O. R., Gunaseelan, Sinha, D. K. and Singh, B. R. Travel Time to Reach Health Facilities in Disadvantaged Regions: Evidence on the Supply And Demand Sides of the Health System using Network Analysis Lalitha Vadrevu Air pollution Exposure Assessment in Urban Slums of Mumbai Abhay Anand
Need of Geo Spatial Analysis while Converting Wet Lands to Avoid It be a Breeding Ground for Mosquitoes – Study of Thiruvallur Town Yogan Gandhi Raja, Sindhu Maheshwaran, Edith Esther Edwin, Balasubramaniyan Mani and Ghouse Mohamed Shaik 13:30-15:00 Technical Session 7: Wellbeing and Preventive Healthcare System Chair Session: 1. Dr. Choosak Nithikathkul 2. Dr. Rachaporn Benchawattananon Mapping Road Traffic Accident Hot Spots and Evaluating the Causative Factors of their Probable Causes in Minna, Niger State Oluibukun G. Ajayi, Ifeanyi C. Onuigbo, Joseph O. Odumosu, Taiwo J. Adewale and Adamu M. Gbedu Built Environment and Physical Activity in Urban Delhi- a GIS Based Analysis Mohammad Tayyab, Safraj Shahul Hameed, Atiqur Rahman, Roopa Shivashankar, Ajay S Vamadevan, Venkat, K. M., Mohammed K Ali, Nikhil Tandon and Dorairaj Prabhakaran Integrated School Health Services Through Mobile Health Clinics – A Strategic Model For Health And Oral Health Care Delivery In India And Other Developing Chandrashekar, B. R. and Suma, S., Mapping the Immunization Status of Children in Southern States of India with a Special Focus on the Newly Carved States Sairam Challa and Pallavi Amirapu A Mathematical Model to Estimate Obstetrical Complications Related Blood Requirements for a Support Population Hemant Misra and Sujitkumar Hiwale A Grid-Based Approach to Analyse the Relationship between Socio-Economic Conditions and Sickle Cell Disease in Nilgiri District of Tamilndu, India Brindha, B. and Prashanthi Devi M. Geriatric Care Hospitals- Need of the Hour Sudharsan Balasubramanian and Murali, R. Remote Sensing and GIS for the Improvement of Tribal Health Management System-A Case Study Govindaraju, M., Suganthi, P., Selvaraj, M., Sarojini Devi B., Rajiv Das Kangabam, Suganthi, K. and Kurinji, S. 15:00-15:30 Tea 15:30-17:00 Keynote Session 3 (Main Auditorium) Session Chairs: Prof. Venkatesh Raghavan and Dr. Shyama Nagarajan 1. Dr. Ashish Joshi, CUNY, USA 2. Dr. Lt. Col. Dr. K. Kamlakar, CEO Premier Hospital, India 3. Dr. Choosak Nithikathkul, Mahasarakham University, Thailand 4. Dr. Divya Sunitha Raj, Chairmen & Founder, SHE Foundation, India 5. Col. G R Venkatesh, Managing Director, Nobel Software Systems Pvt. Ltd., India 17:00-17:45 Awards Distribution and Closing Ceremony (Main Auditorium)
Keynote KISR’s Experience in GIS Health Prof. Hamdy Ibrahim ElGamily Geoinformatics and Applications: Bird Flu and Health Geoenvironment Kuwait Institute for Scientific Management Research (KISR), Kuwait Avian Influenza (Bird Flu) is very contagious among Biography birds and has a destroyed effect on the domesticated wealth, which is one of the main Professor in Geoinformatics and sources of national economy in several countries. Geoenvironment. Head of GIS Section, Moreover bird flu has a killing effect on the human KISR. Ex-Director of the GIS centre, the himself. The transformation of the Birds Flu virus (H5N1) Prime Minister cabinet of Egypt (2000). into a pandemic disease is highly expected More than 30 years’ experience in the field according to many distinguished disease experts. The of utilizing the GIS and Remote Sensing use of remotely sensed data, GPS and GIS tools are technologies in different fields of very important and crucial, to monitor the spatial environmental issues. Managed many distribution of Birds Flu viruses and their habitats in projects in the GIS field on the national, relation with the surrounding ecosystems, in addition regional and international levels. GIS to the capabilities of predicting the potential consultant for regional and international outbreaks of the virus between birds and from birds organizations in the field of GIS and remote into peoples. This work aims at developing GIS-based sensing (RITSEC, GTZ, FAO, UNDP). risk analysis and prediction approach to predict and produce the risk maps of Birds Flu outbreak at the national (Kuwait) and international levels. This application is carried out based on the integration of Geo-spatial data sets, such as different types of maps, remotely sensed data from different sources and resolutions, field observations data using GPS and some other information from scientific papers and reports. The ArcGIS and ERDAS Imagine S/W packages are used to manage, analysis and produce the different thematic layers, and integrate all the Geo-spatial and attribute data sets inside a comprehensive Geo-environmental database regarding Birds Flu. Also, the statistical capabilities of ArcGIS S/W are used to predict the potential outbreak of H5N1 virus on the international level. The main results of the Bird flu outbreak prediction model indicated that Egypt, Jordan, Palestine, Sudan and Djibouti would be affected by H5N1 virus before its outbreak there by few months. The overlay of H5N1 infected sites in Kuwait with the resultant risk map shows high degree of matching between both of them. It is concluded that the GIS and related technologies are very effective and powerful tools to illustrate the spatial distribution of H5N1 virus and predict its expected outbreak. In addition, the GIS technology could be utilized as an efficient tool to manage different Health issues such as health infrastructure, health performance indicators and outbreak of diseases and their relation with socio- economic and physical environment.
Keynote Innovating Thailand's Dr. Poonchai Chitanuntavitaya Preventive Healthcare System Chief Medical Officer through SB SHE, Thailand Social Health Enterprise (SHE), the awarded Biography Thai social enterprise in 2014, believes that 1995 graduated MD. Certificate of the most pressing need in Thailand is healthcare. Dr. Poonchai Chitanuntavitaya, Cardiovascular Medicine. a founder/ chief medical officer, SHE is a 1998-2002 worked at Ministry of Public social business that provides preventive health services to underprivileged health in ICT department, Head of communities. Currently, SHE has been Y2K operation for Hospital mitigation offering preventive healthcare such as Plan that efficiently upgraded office syndrome therapy, dental hygiene medical equipment. and quick Pap Smears for corporate 2002-2006 Director of National Health employees and factory workers. SHE is Security Office (NHSO), Bangkok significantly focusing on healthcare services regional. Setting up primary innovation to suite a very limited time healthcare system for urban allowance from each employers. Currently, population. Stock Exchange of Thailand helps us by 2012 Cooperate with NHSO, founded promote our innovation through SE Social Health Enterprise (SHE) to procurement as CSR-provider. deliver Health prevention that benefit urban people. RELATED VIDEOS: 2014 Thai SE award from rapid Pap screening. Train female inmate to The story of Ex-Inmate that work with our SE perform ThaiChiroTrigger therapy to to help people with Office Syndrome: relief office syndrome in 20 minutes. https://www.youtube.com/watch?v=tegiA Stock exchange of Thailand F0PgS8 recognized SHE as CSR-Provider and endorsed every Listed company to This one explain how the therapy work: make social investment through https://www.youtube.com/watch?v=nuxbL SHE. hm-T4Q This is for Rapid pap smear maneuver that help us achieve 1 min per case: https://www.youtube.com/watch?v=Idwd0 7ATtnY
Keynote Medical Technology and Innovation-Universalizing Healthcare The Indian healthcare system has made Dr. Shyama Nagarajan significant progress in the last decade. However Executive Director & Leader this is overshadowed by insufficient resources Public Health Advisory Services, India and poor clinical outcomes. With the government’s commitment to provide “universal Biography healthcare” there is an urgent need for all key stakeholders to consult and develop a health Dr. Shyama Nagarajan is Executive Director, system that will bring us a step closer to providing accessible, affordable and “world leading the Public Health Practice, India. With class” healthcare to all irrespective of economic status and societal vulnerability. over 21 years of work experience in successful India, is a country of contrasts. On one hand the implementation state and national level existing health care system is unequipped to meet the growing needs of the population; and programs, IT system enablement, QI programs in on the other, our brilliance and talent in medicine and engineering sciences has forced hospitals. Dr. Shyama has positioned herself as a the world to look eastwards to seek low cost high quality medical care and recognizes us as leader to the policy and strategic level the Information Technology hub of the world. discussions and development of innovative It is the innovative use of technology in medical science that health care providers globally are solutions to universalize care. An experience of able to provide effective and efficient healthcare through early diagnosis and specific auditing more than 150 hospitals and associated treatment to improve patient care and better rehabilitation. The idea is to share perspectives institutions, she is pioneer to the development addressing the unmet needs in the health landscape and potential bridge that health Grading of health services in India during her stint innovations and medical technologies can provide; and find appropriate solutions to build in ICRA and development of NABH standards for a vibrant ecosystem and an enabling environment: QCI. She is Medical Graduate with a Masters ► To address felt need of the end-user both nationally and globally, and improve access to in Hospital Management from AIIMS and effective and efficient high quality patient care services. a Masters in public health from National Board. ► Create a feasible, competitive, and sustainable market for medical technology She is a certified ISO lead Auditor and NABH ► To promote growth of Indian med-tech that is competitive globally in a frugal manner. Assessor in India. Editor of the Journal of Academy of Hospital .Team leader for Implementation of Hospital Information system New Delhi municipal corporation hospital and dispensaries and 15 hospitals in the state of Rajasthan As Chief Quality Officer led the in Quality Improvement project for the entire Fortis group of hospitals through NABH and JCI Accreditations and establishing Clinical Excellence models. Similarly, led the QI of childbirth and neonatal care in Primary Health Centres in the State of Haryana, in WHO supported program to design specific clinical and administrative SOPs, audit tools and scoring sheetsto support quality implementation. Managed operations in AIIMS hospital, New Delhi from 1998 – 2002. As Health Specialist for the World Bank ensured utilization of Bank funds for Health System Strengthening in states of UP, Rajasthan, Karnataka, TN and RNTCP-II for PPP, affordable business care models for private hospitals and performance quality improvement. Health policy expert for the Swaranandhra Vision 2029 for the Govt of Andhra Pradesh, & Gujarat.
Keynote Information Technology in Healthcare and Healthcare Quality Management A robust Health Management Information System, Dr. Madhu Raikwar which can provide good quality information, is essential Director & Head for health planning and monitoring for evidence based Central Bureau of Health Intelligence decision making. Health management requires timely (CBHI), Dte. G.H.S. and accurate information from various sources for Ministry of Health and Family Welfare monitoring of the health status of the population, the Govt. of India provision of services as to the coverage and utility, drugs stocks and consumption patterns, equipment status and availability, finances, personnel, infrastructure etc. on a regular basis. Accurate, relevant and up-to-date information is essential to health service managers if they are to recognize weaknesses in the health service provision and take actions that will improve service delivery. The goal of CBHI in health statistics is to improve country, regional and global health information. This information is vital for public health decision making, health sector reviews, planning and resource allocation and program monitoring and evaluation at the National, State, District and Institutional levels and to regularly track the progress of the country in achieving the National health outcome indicators and in identifying areas and populations which lag behind on health indicators with sufficient accuracy, so as to enable remedial action. In response to the health challenges faced, government realizes that effective health resource management, allocation and monitoring based on real ground evidence would be imperative to address aforesaid challenges and provide accessible and acceptable quality health care services for the community. Government understands the constrained on public health resources, and therefore intends to judiciously utilize the health resources. Therefore, it is essential to allocate resources based on real world data and do regular monitoring and impact assessment of the allocated resources. Private sector health infrastructure and service delivery continues to be a blind spot for government. It is critical to factor in the reach and penetration of private sector health resources, while planning for public health resources and infrastructure. Also to reach hitherto unreached segments of the population, where public health resources are constrained, opportunities to tie up with private sector are to be explored for better service delivery. CBHI envisions providing ready information on various health indicators for India, which are of great significance to the planners, policy makers, health administrators, research workers and others engaged in raising the health and socio-economic status of the community.
Keynote Population Health Informatics: Opportunities and Challenges in Global Settings Technology advancement continues at a rapid pace. Emerging technologies, including information and communication technologies, genomics, robotics, sensors, and nanotechnologies provide enormous opportunities for enhancing population health. Dr. Ashish Joshi Assistant Dean of Students More and more organizations are beginning to The CUNY School of Public Health USA utilize digital technologies and cloud-based platforms to record and process population level data to make information meaningful. There is an opportunity to use tools ranging from smartphones and tablet computers to remote Biography sensors and monitoring devices to prevent disease, early risk identification, healthcare Ashish Joshi currently Assistant Dean of delivery, and support to populations where and Students of City University of Newyork when they need it. There is a need of technology School of Public Health. He is a trained enabled, innovative healthcare interventions to physician followed by training in MPH promote community health. Confidentiality and Public Health and PhD Health privacy, lack consistent overarching information Informatics with primary focus on architecture and gaps in the existing standards as population health informatics. they relate to public health are some of the He had published more than 90 associated challenges related to population research papers and had done projects health informatics. A series of case studies in US, Nigeria, Brazil and the US funded outlining the opportunities and challenges related by US federal agencies including NIH, to the population health informatics projects AHRQ, Bill and Melinda Gates Foundation, ICMR, ministry of Health across global settings will be discussed. Brazil and many other private foundations and industries.
Keynote Free and Open Source Geospatial Solutions for Geoinformatics: Potential for Epidemic Control and Health Care The presentation will provide an overview Free and Open Source Geospatial Solutions for Geoinformatics (FOSS4G). It will discuss the role of these technologies in distributed data management and analysis. Prof. Venkatesh Raghavan Co-Founder, OSGeo Recently, Geospatial technologies in Health Osaka University, Japan GIS applications have found increasing use. Biography Further, spatial databases such as Prof. Venkatesh Raghavan is based in Japan as Professor of Geoinformatics at the PostgreSQL/PostGIS, and GDAL/OGR data Graduate School for Creative Cities, Osaka City University. His research interest include abstraction library can support storage and geospatial Web Services, sensor network, Geo Crowd Sourcing and remote sensing for handling of image (raster) data in a wide change detection. variety of formats. Support for the medical Prof. Venkatesh Raghavan has been involved in OSGeo Foundation (www.osgeo.org) since imaging DICOM (Digital Imaging and it's inception in 2006. He was one of the Member in the first OSGeo Board and has Communications in Medicine) could afford been re-elected to the OSGeo Foundation Board in 2015. He is on the Advisory Board of immensely interesting possibilities of using OWS the Geo4All initiative (www.geo4all.org) and serves in Editorial Board of several scientific (OGC Web Services) in Health Informatics. journals. He is actively involved in promoting Free and Open Source Softaware Solutions Further, geoCrowd Sourcing and Volunteered for Geoinformatics (FOSS4G) especially in Asia. Geographical Information (VGI) offers tremendous possibilities in disease surveillance and epidemic control. The presentation will discuss some of the recent trends in application of FOSS4G in medical informatics
Keynote Geospatial Governance in Public Health and Health Care Emergency Management Public health being a geographic issue and related Dr. Iyyanki Murali Krishna to geospatial analyses finds many solutions in Dr Raja Ramanna Distinguished Fellow geospatial technology and epidemiology. India Geospatial epidemiology is defined as “the description and analysis of geographic variations in Biography disease with respect to demographic, environmental, behavioral, socioeconomic, Prof. IV Muralikrishna received the M.Tech and genetic, and infectious risk factors”. Many PhD degrees from the Indian Institute of environmental conditions affect people's health. Technology (IIT), Madras and Indian Institute of For example, the distribution of wetlands may Science (IISc), Banglore respectively. He served affect the dispersion of malaria, while groundwater as Assistant Professor in IIT Madras (1976-1979), aquifer and the location of solid or hazardous senior scientist and Head of the Marine waste dumping sites may impact the drinking water Applications Division, National Remote Sensing quality, which in turn affect the resident's health. Agency, Indian Space Research Organisation The focus of health care system is the patient. GISs (1979-1987), Professor and Founder Head of the are applicable to the care of patients with both Centre for Spatial Information Technology (CSIT) infectious and chronic diseases. Geospatial at Jawaharlal Nehru Technological (JNT) analytic techniques, such as proximity estimations University (1990-2008), and Director of JNT and cluster analysis, are built on statistical methods University's Research and Development Centre that incorporate distance and direction (2005-2008). In addition, he has served as a measurements to generate geospatially accurate guest scientist at Germany's German Space maps and graphic reports. Disease clustering Research Institute (DLR) and GKSS Research classified as temporal clustering, spatial clustering Centre, and as visiting/adjunct/consulting or space time clustering. For example, SaTScan professor at several institutes around the world, software is very useful software that can perform including Administrative Staff College of India, geographical surveillance of a disease, detect Bharatidasan University, Asian Institute of clusters and test whether these clusters are Technology, Jackson State University and Chiba statistically significant or not. Advanced research in University. He is a Fellow of various Geospatial Public Health and geospatial respected organisations, including Institute of epidemiology is expected to play a pivotal role in Engineers, Institute of Surveyors, International disease mapping, developing community health Congress for Disaster Management, AP surveillance, health care networks, managing Academy of Sciences, Indian Geophysical health resources and population density, health Union and Bhoovigyan Vikas Foundation. He has and human services etc. The studies promote published more than 62 papers in peer Socio‐economic, demographic, environmental reviewed journals, and about 89 papers in overlay which facilitates in Epidemiological Analysis national and international conferences, as well and managing health and human services in the as guiding / co-guiding 27 PhD and 170 Master best possible manner. It is further envisaged that students.At present, he is a Dr Raja Ramanna the integration of Geospatial analysis and Distinguished Fellow at the Defence Research modeling would strengthen the Health and Development Organisation (DRDO), India, Management Information Systems. and the National Coordinator for Geospatial Public Health, which is a National Networking Government of India Project. He is also an expert member in several national committees He is also an expert member in several national committees on disaster management, natural resources management, national policies on open data and geospatial technologies, and governing councils of academic institutions. His present research focuses are on hyperspectral remote sensing image classification and smart cities/villages and geospatial public health management system.
Keynote Applying a Structured Process in Dr. Jagdish Chaturvedi India for the Invention of Affordable Director, Clinical Innovation & Medical Devices Partnerships Innaccel, Associate consultant ENT Structured processes of various kinds have Apollo Hospital, Bangalore, India been applied in the western medtech industry for development of successful medical Biography devices over the past 3 decades. This has resulted in the development of many Dr. Jagdish Chaturvedi is an ENT surgeon groundbreaking technologies and has trained at St. John’s Medical College and improved patient care in developed markets Hospital, Bangalore, a Stanford-India remarkably. The key element common in all Biodesign (SIB) Fellow 2012 (Alumni), and these structured processes is the ability to holds an MBA degree in Entrepreneurship and create a platform for engineers, product Hospital Management (NIBM). His core designers, clinicians and other professionals to expertise lies in the process of identifying and work together and to identify and validate analyzing unmet clinical needs for quick critical unmet needs in the clinical development of low-cost and high quality environment- which is the first step in the path medical devices. Since 2010, he has co- to medtech innovation. However, where this invented, developed and commercialized has worked really well in a well reimbursed multiple affordable medical. and developed healthcare ecosystems, it is not been easy to apply them to our diverse Dr. Jagdish Chaturvedi, ENT surgeon and and developing healthcare ecosystem where serial MedTech innovator, will share the we import 70% of medical devices and application of a structured process for majority of the reimbursement if from out of successful medical device development in pocket expenditures. Therefore it is imperative India. The process emphasizes the need for that these processes need to be clinical immersion—where a multidisciplinary appropriately modified to suit our healthcare team comprising engineers, product ecosystem for the development of India designers, business analysts, and clinicians specific affordable and high quality medical spend 6-8 weeks in clinical care settings— devices. hospitals, clinics, primary health centers, ambulance etc. as per the strategic focus area identified to shadow clinicians and closely monitors the care provided, listing observations with clear negative outcomes and develop an in-depth understanding of the needs. These needs are then filtered based on objective parameters such as incidence of negative outcome, criticality, market size etc. to determine top needs.
Keynote Spatial Analysis of Helminthiasis Prof. Choosak Nithikathkul using GIS Faculty of Medicine Mahasarakham University, Thailand The World Health Organization (WHO) Biography initiative for Global Health has recommended evaluation and comparable assessment of Biography mortality and loss of health due to diseases and injuries for all regions of the world. Today Dr. Choosak Nithikathkul, Ph.D, now is trends global and environmental novelty, the Research Unit Head and Assistant Professor health and bioinformatics encircle issues from in Faculty of Medicine, Mahasarakham the local to global, among governments and University. Training and research has been in international health organizations. Integrated the Medical Parasitology with experience in and Sustainable of a healthy population in the laboratory to community. Currently, Dr. 21st century will require geographic Choosak Nithikathkul is active in several information systems approaches to redesign researches focus in helminthiasis prevention care practices and integrate local, regional, and control by using GIS, mathematic national, and global health informatics model and ecological model. Academic networks. The report was done to determine activities: 2008, The Acknowledgeable in the health informatics model of helminthiasis Biomedical Science of The National in Thailand. The investigators evaluated how Research Council of Thailand. 2011 - Present health informatics model could be used to Deputy Chairman of Ph.D. program in predict the control and eradication in a cost Health Science, MSU. 2012 – 2014 Visiting effective manner. Fish-borne helminthiasis professor at Chung-Ang University, National caused by Opisthorchis viverrini remains a Institute of Health, Seoul, Korea and 2013-14 major public health problem in many parts of The Royal Golden Jubilee scholarship from Southeast Asia including Thailand, Lao PDR, TRF class 16 and 17. 2015 The Committee of Vietnam and Cambodia. Up-to-date, Parasitology and Tropical Medicine the helminthiasis control program managers Association of Thailand. Awards 2014 The have set up a national plan to prevent and Outstanding Reviewer from Acta Tropica, control these diseases through the interaction Elsevier. 2015 The Excellence Research and responses of the provincial public health Awards from Faculty of Medicine, MSU 2015. offices. These data are representative Faculty of Medical Sciences, University of of geographic information system for Sri Jayawardanapura. Sri Lanka. helminthiasis in Thailand.
Plenary Speakers Perception about Health Applications (apps) In Smart Phones towards Telemedicine among Indian consumers: A Cross Sectional Study Health applications in smart phone towards Prof. Gvrk Acharyulu telemedicine have seen fewer studies even being University of Hyderabad, a growing billion dollar industry. The aim of this India survey described in this paper is to evaluate the factors that determine the consumer’s perception Biography towards health applications (apps) in smart phone towards telemedicine and to test any Prof. G.V.R.K.Acharyulu, B.Tech(Chemical relation between these factors and consumer’s Engineering - Andhra University), M.Tech (NIT- attitude towards telemedicine. In this regard a Warangal), MBA (Marketing &Finance, survey was conducted among 300 Indian smart Osmania University), PhD (Supply Chain phone users with health apps to know their Management – Osmania University).Currently attitude towards telemedicine. The findings of this he is the Associate Professor in Operations & survey demonstrate a positive view of health Supply Chain Management, Coordinator- apps towards telemedicine. This research also MBA(Healthcare & Hospital Management) at found that the stronger predictor of the consumer the School of Management Studies, University attitude is the perceived usefulness of health of Hyderabad, Central University, Hyderabad- apps, complete information learning of the 500046, India. He has 15 years of TEACHING in telemedicine through health apps, perceived management subjects like Operations and encouragement of more health apps and Quantitatives, Supply Chain Management, perceived trust on health apps. In short, the future Research Methodology, Information Systems, of health apps affiliates for telemedicine to a Hospital Management and 10 years of greater extent affected by the consumer’s INDUSTRY experience in Operations and perception of health apps usefulness and control Materials divisions at Sponge Iron India over it. This study recommends a need for direct Limited, A Government of India Enterprise. He health apps marketers to develop more has published 20 research papers in National innovative apps that will elicit a more positive and 12 in International Journals in the area of response from the consumers. Operations, Supply Chain and Healthcare Management. He has presented various research papers at International Conferences held in USA, Australia, Singapore, Thailand and Dubai. He was visiting faculty at Asian Institute of Technology(AIT), Bangkok, Thailand for teaching Logistics Management during January – April 2014.He has published 7 books on “Research Methodology & Statistical Tools, Marketing Research, Logistics and Supply Chain Management, Strategic Quality Management (edited) through Excel Publications, New Delhi and Pharmacy Administration, IKON publishers, New Delhi, Emerging Trends in Healthcare Management(edited) from Paramount publications, Supply Chain Management in Healthcare Industry, Lambert Publications, Germany. He has conducted many conferences and seminars in the area of supply chain management and healthcare. He is currently the Vice President, ISDSI - Conferences & Programs India. He is visiting faculty and evaluator of PhD thesis of Management Institutions in India. His current research areas include Quantitative Techniques, Operations Research, Operations and Supply Chain Management, Modeling and Healthcare Management.
Plenary Speakers Some Applications of GIS and Remote Sensing to Health Issues Geospatial technologies have benefited us in Prof. Krishna Mohan Buddhiraju a variety of ways, in urban and rural planning, CSRE, IIT Bombay in environmental applications like monitoring India forests and water bodies, in identifying places of natural disasters like flood and earthquake affected areas, identifying places where the population is dense or sparse, places where local population is at risk due to pollution, places suitable for mosquito breeding, and so on. Some applications have been proven and become operational and some are evolving. There are research issues in several of them, including large volume data handling, machine learning, etc. Biography Dr. Ravi Kumar Vundavalli OSGeo, FOSS4G Evangelist of Free and Open Source Software India (FOSS). FOSS GIS teacher. Trained more than a hundred Geologists of Geological Survey of India, as head of it's training division at Hyderabad, India. Currently developing FOSS GIS for transparent administration in India. 'mana-rajahmundry.org', is a website developed for society with various themes like roads, toilets, schools, drainage etc. A similar website is being prepared for the City of Mysuru, http://www.mana- rajahmundry.org/namma-mysuru/. Being a Geologist mapping the districts of Godavari, Andhra Pradesh for Free Geological Geospatial data. Present Interest: 'Crowd- sourcing', with Android smart phones, for various societal needs is present endeavour. Geopaparazzi and OSMAND are used for 'Mobile-GIS', with training workshops. Building specific forms for crowd-sourcing Geospatial data is also in progress.
Plenary Speakers GIS for Public Health in Thailand Dr. Wutjanun Muttitanon Civil and Environmental Engineering Cholera epidemic map was provide by John Engineering Faculty Mahidol University, Snow in 1854, an English physician, John Thailand Snow. That was the first time who produced gis map with public health.Public health Thai Biography organizations rely on GIS to help in making decisions that influence population health Dr. Wutjanun Muttitanon is working as a with powerful analysis tools and integrated lecturer in Civil and Environmental workforce solutions, organizations can better Engineering under Engineering Faculty grasp community health needs and design in Mahidol University. Her expertise research effective interventions.Health organizations domains includes GIS Design, structuring and improve field data collection and reporting, management of databases and image and support disease surveillance and analysis. processing & Remote Sensing Passive sensors: Interactive, easy-to-read maps improve Landsat, IRS, NOAA and SPOT. She received communication with decision makers and the her Doctoral degree from Asian Institute of public.Public health uses of GIS include Technology, Bangkok in the field of Remote tracking child immunizations, conducting Sensing & GIS. Master's degree in Geography health policy research, and establishing from Ramkhamhaeng University, Bangkapi, service areas and districts. GIS provides a way Bangkok,Thailand. And did her bachelor's in to move data from the project level so that it Geography from Kasetsart University, can be used by the entire organization. Quick Bangkhen, Bangkok, Thailand. access to medical records is crucial to effective treatment. Now Thai Healthcare program is still develop and improve health data and factor.But we hope we can control and predict the epidemics in Thailand.
Workshop Session 1 Telemedicine Dr. Pradeep Desai GE Global Research, Technology Leader – Software Sciences and Analytics Telemedicine is a broad term within Health Information Technology that encompasses methods for electronically transmitting medical information. These methods can include store-and-forward technology for documents and images, remote monitoring of a patient’s vital signs, secure messaging, e-mail exchange of data, alerts and reminders between physicians and patients, and the ability to observe, diagnose and recommend treatment via videoconference. Telemedicine embraces the promise to powerfully address some of the most demanding issues of our current healthcare system like remote patients get access to care, reduce high cost hospital visits and distribution of limited providers. Telemedicine can eliminate distance barriers and can improve access to medical services that would often not be consistently available in distant rural communities. Workshop Session 2 Malaria and Geospatial Research using 3S Technologies Dr. Vasna Joshua Scientist-B, National Institute of Epidemiology, India Health Research is a key factor for any sustainable development of a country. Hence the health managers are always looking in search of robust evidence for decision- making. They are always enforced to look into data that are tied with a location, which can be achieved through a Global positioning System (GPS). Geographic Information System (GIS) is a useful tool that aids and assists in health research, health education, planning, monitoring and evaluation of health programmes that are meant to control and eradicate certain life threatening diseases and epidemics. The determinants associated with the risk of developing the disease can be explored using Remote Sensing (RS) technology. Ultimately the integrated 3S - GPS, RS and GIS technologies have opened an unprecedented opportunities and new avenues for decision-making. The utility of the 3S technologies with special reference to the vector borne disease malaria will be discussed by a case study.
Workshop Session 3 GIS Based Referral System and its Advantages in a Healthcare System Dr. Hemanth Misra Philips India Pvt. Ltd, India Referral is an integral part of a healthcare system, and if used properly it can improve the quality of healthcare delivery by many folds. An intelligent referral system is discussed in this talk which not only analyses the GIS data but also critical parameters like condition of the patient, the availability of services, resources and quality of care at various facilities while making a referral. The advantages of the intelligent referral system to various stakeholders such as referring facility, receiving facility, administrator, government etc are also discussed. Workshop Session 4 Smart Cities to Smart Health Dr. Shrutin Ulman Philips India Pvt. Ltd, India Advances in digital technology from both the public and private sectors are making healthcare smarter and improving lives every day. Digital technologies are not only creating new health products, but smart is facilitating a change in how we manage our health. Smart is supporting a shift from a focus on cure towards a broader view of wellness management and healthy living. One vision of the future would be a world in which digital sensors scan your body, and communicate remotely with healthcare professionals who are able to use massive health datasets to analyze the information. Based on this, highly personalized and daily set of medication could then be 3D printed as a pill for you to take with next to no interference in your daily routine. Dr. Shrutin Ulman is a Medical Graduate with a specialization in Industrial Medicine and Occupational Health (MBBS, DOIH), a PhD is Micro-electronics and an MBA in Marketing. His research experience covers macro- modeling of healthcare based VLSI circuits and modelling fluid flow in cardiac valves. He has worked in the domain of mother and child care focusing on innovations for the emerging markets. He has 6 issued patents in the domain of neonatology covering neonatal jaundice care and management. He has authored several peer reviewed articles and papers, the latest being the paper selected for presentation at the FIGO conference, October 2015, the apex body of Obstetricians and Gynecologists globally. His present assignment at Philips Research India, focuses on regulatory compliance of medical device product development, especially on patient simulators and clinical studies. He is also responsible for facilitating partnerships with the healthcare research local ecosystem.
Workshop Session 5 FOSS4G Tools for Participatory Field Data Aggregation Mr. V. Ravi Kumar and Prof. Venkatesh Raghavan Demonstration will focus on 3 applications namely, a) Geopaparazzi [3], b) Open Data Kit based application developed by Politecnico di Milano, Italy [2] c) EpiCollect [4]. Visualizing collected data using QGIS [5] will also be demonstrated. Demonstration to collect field health data for 'Fever'(vector-borne diseases), will be made. Upon completion of the workshop, the participants would be able to provide applications on Android-phones, to field parties (health workers) to easy and quickly collect Geo- referenced field data usable for spatial analysis. [1] https://opendatakit.org/ [2] http://geomobile.como.polimi.it/policrowd2.0/?q=node/52 [3] http://geopaparazzi.github.io/geopaparazzi/ [4] http://www.epicollect.net/ [5] http://www.qgis.org/en/site/
Technical Session: 1 Technical Session 1: Vector Borne Disease 2 3 Spatial Epidemiology of Highly Pathogenic Avian Influenza (H5N1) in Viet 4 Nam 5 Sumeet Saksena, Jefferson Fox, Chinh Tran C., Duong Nong H. and 6 Lam Nguyen 7 8 Strengthening Geographic Information System Capacity for Dengue 14 Control through a Collaborative Network Chayanin Pratoomsoot, Chada Narongrit, Sakda Homhuan and Chingchai Humhong IR Mapper: An Interactive Tool for Visualizing Insecticide Resistance in Malaria Vectors Duncan Athinya, Melinda Hadi and Helen Pates Jamet Climate Change Effects on Chikungunya Transmission in Tiruchirapalli District of Tamilnadu: Geospatial Analysis of Vector’s Habitat Suitability and Virus’ Temperature Requirements Brindha, B., Prashanthi Devi M. and Hemanth Kumar H. Random Forest Regression Variable Selection and Prediction Model for Malaria Transmission Modelling in Mpumalanga, South Africa Michael Gebreslasie and Thandi Kapwata Role of Geospatial Techniques in the Vector Borne Disease Outbreak Prediction and Patient Diagnosis S. K. Katiyar Geographically Weighted Regression Model for Liver Fluke Distribution in Khon Kaen Province of Thailand Pipat Reungsang and Rittirong Junggoth Geo Spatially Controlling Dengue the Worst Epidemic Thiyagarajan J. Kantharaj, Sasikumar Balasundaram, Sakthivel Anbu, Senthilkumar S. Sambandan ,Ghouse Mohamed Shaik
Spatial Epidemiology of Highly Pathogenic Avian Influenza (H5N1) in Viet Nam Sumeet Saksena1, Jefferson Fox1, Chinh Tran C.1, Duong Nong H.1 and Lam Nguyen2 1The East-West Center, USA E-mail: [email protected], [email protected], [email protected], [email protected] 2Vietnam National University of Agriculture, Vietnam, E-mail: [email protected] ABSTRACT New and re-emerging infectious diseases (EIDs) continue to significantly threaten human and animal health. While scientists have made some progress in identifying proximate driving forces and causal mechanisms of disease emergence (such as distance to water bodies and poultry density), the importance of underlying driving processes (such as urbanization and diversification of land use) are poorly understood. This project analyzed statistical associations between highly pathogenic avian influenza (HPAI) H5N1 and urbanization, land-use diversity and poultry intensification in Viet Nam. We used parametric and nonparametric models, along with GIS-based methods to account for spatial clustering, to study the outbreaks of H5N1 in 2011. We found that places with high land-use diversity, a variable never previously studied in the context of HPAI H5N1, are at significantly greater risk for H5N1 than less diverse places. Places where intensive and extensive forms of poultry production are co-located are at greater risk than places where one production mode dominates. Other risk factors that we found to be significant are: Compound Topographical index and distance to nearest town. Our model had AUC-ROC of 0.895 (Area under the Curve of the Radio Operating Characteristics), indicating a very high accuracy. KEYWORD: Spatial Epidemiology, HPAI H5N1, Urbanization, Land use, Agriculture, Poultry Intensification
Strengthening Geographic Information System Capacity for Dengue Control through a Collaborative Network Chayanin Pratoomsoot,1 Chada Narongrit,2,4 Sakda Homhuan3 and Chingchai Humhong4 1Faculty of Public Health, Naresuan University, Thailand, E-mail: [email protected] 2Faculty of Agriculture, Natural Resources and Environment, Naresuan University, Thailand E-mail: [email protected] 3Faculty of Industrial Technology, Uttaradit Rajabhat University, Thailand E-mail: [email protected] 4Regional Center of Geo-Informatics and Space Technology, Naresuan University Thailand, E-mail: [email protected] ABSTRACT Dengue remains a public health challenge for Thailand, thus effective preventive and control measures are called for. The performance of a health system relies on having a well-functioning health information system. Geographic Information Systems (GIS) have valuable roles in the work of public health, especially in dengue surveillance. The current study aimed to develop an Internet GIS Surveillance System for the application of dengue control across Health Region 2, through a collaborative network of public health professionals, health offices, and academic institutions. A bottom-up approach in the design and development achieved a system that fulfilled the needs and requirements of target users. The capabilities of the system includes updating surveillance data, calculating and displaying summarised data in terms of numbers of cases, prevalence rates, comparisons against area’s target line, and indicating target areas in need for dengue control. Plans for trainings of public health professionals in GIS applications and our developed system are in place. Furthermore, it was also intended to increase public awareness of dengue control and prevention, whereby the public can access the Internet Dengue Map and learn about current dengue situations. They can also send requests for mosquito fogging in their local areas through a mobile web app. Through this mechanism, a wider circle of GIS users and human resources can be achieved, and subsequently strengthen GIS capacity across the region. KEYWORDS: Dengue Control, Internet Geographic Information System, Strengthening Capacity, Collaborative Network, Bottom-Up Approach
IR Mapper: An Interactive Tool for Visualizing Insecticide Resistance in Malaria Vectors Duncan Athinya,1 Melinda Hadi1 and Helen Pates Jamet2 1Vestergaard, Kenya, E-mail: [email protected], [email protected] 2Vestergaard, USA, E-mail: [email protected] ABSTRACT The emerging and rapid spread of resistance to major classes of public health insecticides threatens current malaria vector control efforts, which rely primarily on two interventions: long-lasting insecticidal nets (LLINs) and indoor residual spray (IRS). Deployment of the most appropriate tools needs to be informed by up-to-date data on insecticide resistance in target malaria vector species. Launched in 2012, IR Mapper (www.irmapper.com) is an online geospatial mapping platform built on a systematic review of peer reviewed, published literature to visualize insecticide resistance trends in Anopheles vectors. IR Mapper was built using ArcGIS for JavaScript API platform. The platform is updated monthly with newly published data from peer reviewed scientific publications on phenotypic (WHO susceptibility test and CDC bottle assay data) and resistance mechanisms (target site and overexpressed metabolic enzymes) data. Additional data meeting standard WHO or CDC test criteria from PMI, National Malaria Control Programs, and other reputable sources are also included. The filter tools on IR Mapper enable filtering by year, vector species, insecticide class, and resistance mechanisms. As of September 2015, IR Mapper consisted of 13,110 unique field records from 59 countries and 48 Anopheles species or species complexes. 82% of countries have reported resistance to at least one of the four classes of insecticides; 75% have reported testing of resistance mechanisms. Filtering by time period highlighted that six times more reports of insecticide resistance in Anopheles were reported between 2000 and 2015 compared with the previous 45 years. IR Mapper also revealed data gaps notably for two high malaria burden countries: Democratic Republic of Congo and Nigeria. For instance, there were 139 reports of insecticide resistance testing in DRC, which is estimated to account for 34.1% of global malaria cases compared to 1025 reports of monitoring in Benin with estimated 5.2% of global cases. While insecticide resistance testing has increased in recent years, IR Mapper is able to identify where data gaps on insecticide resistance exist in malaria vectors. IR Mapper is a useful tool for visualizing temporal and spatial trends in Anopheles insecticide resistance and associated resistance mechanisms in order to inform evidence based decision making of vector control intervention. KEYWORDS: Malaria, Anopheles, insecticide resistance, IR Mapper
Climate Change Effects on Chikungunya Transmission in Tiruchirapalli District of Tamilnadu: Geospatial Analysis of Vector’s Habitat Suitability and Virus’ Temperature Requirements Brindha, B.,1* Prashanthi Devi M.1and Hemanth Kumar H.2 1Department of Environmental Management, Bharathidasan University Tiruchirapalli 620 024, India, E-mail: [email protected] 2Fellow & Project Investigator – NRDMS, Karnataka State Council for Science & Technology (KSCST), Indian Institute of Science, Bangalore 560 012, India ABSTRACT Climate change can influence the transmission of vector-borne diseases (VBDs) through altering the habitat suitability of insect vectors. Vector borne disease exhibits a distinct seasonal pattern where rainfall, temperature and other weather variables affect both vector and the pathogens transmission. Here, we present climate model simulations to evaluate the associated uncertainties in view of the core meteorological factors that may affect the distribution of the Asian tiger mosquito (Aedes albopictus and Aedes aegypti) that transmits pathogens causing Chikungunya. In order to assess whether these outbreaks are indicative of the beginning of a trend or one-off events, there is a need to further examine the factors driving the potential transmission of Chikungunya. The climatic suitability, both now and in the future, is an essential starting point for such an analysis and developing maps of suitable vector habitat (albopictus sp. and aegypti sp.) that will be validated against historic data of vector occurrence and disease prevalence to confirm the key environmental factors that govern the distribution of suitable habitat and thereby disease risk. The chosen study area to evaluate the climate based model is Tiruchirappalli district. The reported chikungunya disease data was obtained from DDHS (Deputy Directorate of Health Services) Tiruchirapalli district for the years 2006-2011. The block wise information of disease cases and geo-climatic variables such as chikungunya incidence rate, mean annual temperature, mean annual rainfall, relative humidity (2005-2011), population density, land use land cover and NDVI were imported into ArcGIS software for preparing distribution maps and was correlated with recent outbreaks. The climatic and habitat suitability for Chikungunya outbreaks was determined by using bioclimatic factors that influence, both vector and pathogen using MaxEnt software (latest version 3.3.3k). Climatic risk classes were derived by combining climatic suitability for the vector with known temperature requirements for pathogen transmission obtained from outbreak regions. In order to analyse spatio-temporal trends for risk exposure and season of transmission in Tiruchirapalli, climate change impacts are projected for three time-frames (2011–2040, 2041–2070 and 2071–2100) as per the Intergovernmental Panel on Climate Change (IPCC). Sensitive zones with current and future climatic suitability for disease transmission are identified. An increase in risk is projected for western and central part of Tiruchirapalli regions. Interestingly, the southernmost parts of Tiruchirapalli also provide suitable conditions in these projections however no cases were recorded in these regions. Temperature thresholds for vector breeding and for virus transmission in the present study area were observed from 21 ºC to 24 ºC. The resulting maps of suitable habitat for the mosquitos’ vectors relative to those that transmit infections improved understanding of the relationships between vector habitat and disease risk. This will be invaluable to vector control strategies and management of these diseases. In order to guide preparedness for further outbreaks, it is crucial to anticipate risk as to identify areas where specific public health measures, such as surveillance and vector control, can be implemented. However, public health practitioners need to be aware that climate is prime factor driving the transmission of vector-borne disease. KEYWORDS: Asian tiger mosquito, Chikungunya, Climate change, Geographic Information system, climate and habitat suitability analysis.
Random Forest Regression Variable Selection and Prediction Model for Malaria Transmission Modelling in Mpumalanga, South Africa Michael Gebreslasie1 and Thandi Kapwata2 1University of KwaZulu Natal, South Africa, E-mail: [email protected] 2Medical Research Council, South Africa, E-mail: [email protected] ABSTRACT Malaria is one of the world’s most prevalent vector borne diseases with sub-Saharan Africa bearing the highest burden of reported cases. Climate is one of the major determinant factors of malaria transmission as it influences the spatial and temporal pattern of transmission, therefore it is important to understand the interactions at a local level between various climatic variables that impact malaria transmission. This is an important part in managing potential outbreaks, targeting vector control strategies, and developing malaria early warning systems. The study was implemented in the Ehlanzeni district of Mpumalanga province in South Africa. The random forest algorithm was used to determine the variable importance of temperature, lag temperature, rainfall, lag rainfall, humidity, altitude and NDVI in relation to malaria transmission as well as to generate monthly predictive models of malaria transmission using the variables that were identified as being most associated to the occurrence of malaria. The results showed that altitude was the variable most related to malaria transmission because it was most frequently selected as one of the top variables with the highest variable importance followed by NDVI and temperature. The combination of climatic variables that produced the highest coefficient of determination values was altitude, NDVI, and temperature. This suggests that these 3 variables have high predictive capabilities and as a result they should be selected for spatial and temporal modelling of malaria. Furthermore, it is anticipated that the predictive models generated by the random forest algorithm could be used as an operational malaria early warning system using forecasted data for the climatic variables identified in this study. KEYWORDS: Random Forest, Modelling Malaria Transmission, Remote Sensing
Role of Geospatial Techniques in the Vector Borne Disease Outbreak Prediction and Patient Diagnosis S. K. Katiyar Maulana Azad National Institute of Technology Bhopal (M.P.), India, 462 003, India E-mail: [email protected], [email protected], ABSTRACT Remote Sensing, Geographical Information Systems (GIS) and Global Positioning System are more popular by a single name and that is the geospatial techniques. The geospatial techniques are the powerful tool for wide range of applications in the analysis of complex spatial environment with tabular relationships. The proliferation of such systems has been possible by the recent advancements in remote sensing and systematic surveys along with advancement in information technology. Diseases are known to have a regional distribution. Various causative factors like infectious, genetic, environmental factors, disease occurrences have known to be clustered both spatially and temporally. Medical information systems are becoming increasingly popular among clinicians. These information systems would revolutionize the quality and quantity of medical information. Most of the systems in use only aim at capturing and storing information. Elegant report generation and information processing have been found lacking in large hospital based databases, which makes processing of stored data as tedious and cumbersome as paper based data. Thus medical information databases have to be better designed for the ability to process information and produce useful results. Geographical representation of patient data forms a important part in designing useful medical information databases. Such geography based analysis help in locating clustering of cases. Such data forms the basis of studies and designing community intervention strategies. Though clustering of such cases can be obtained by conventional statistical techniques but the presentation and manipulation of such data on a map helps in understanding the geo-spatial distribution of cases. The Medical GIS have a dominant role in infectious disease monitoring and research. However, such systems can also be utilized to study non-communicable diseases. This research paper is focused on the presentation of appropriate methodology for extracting various causative factors by using remote sensing satellite images. Advantages of GIS based analysis tools like buffer and proximity and mobile mapping systems have been presented. A geographical information system would help in describing disease occurrence as well as mapping and identification of causative factors over a given geographic area. Such a system can help in initiating original research into such diseases.
Geographically Weighted Regression Model for Liver Fluke Distribution in Khon Kaen Province of Thailand Pipat Reungsang1 and Rittirong Junggoth2 1Department of Computer Science, Faculty of Science, Khon Kaen University, Thailand E-mail: [email protected] 2Department of Environmental Health Sciences, Faculty of Public Health, Khon Kaen University, Thailand E-mail: [email protected] ABSTRACT Geographically Weighted Regression (GWR) is an exploratory technique mainly to indicate where non-stationarity of relationship in space is taking place. This research accessed spatial context and the local impacts of putative environmental factors on Liver Fluke (Opisthorchis viverrini) distribution in Khon Kean Province of Thailand during 2006-2010. A Geographically Weighted Regression was performed spatially to investigate environmental factors including rainfall, temperature, land use, soil type, and salty soil types, influencing to distribution of the disease using GIS software package. With our analysis, disease distribution map was created and verified against survey data collecting from patient’s information within Khon Kaen Province to make sure that the map result was validated. Therefore, map of Liver Fluke disease distribution from our analysis could be made to assist identifying areas where vulnerability is high for decision-making and planning in order to prevent or control the spread out of the disease in the future. KEYWORDS: Geographically Weighted Regression, Liver Fluke, GIS, Khon Kaen Province 1. INTRODUCTION regions especially opisthorchis viverrini, Liver Fluke (Opisthorchis viverrini) disease taenia, and echinostoma (Jongsuksuntigul, remains a major public health concerning 2002). According to survey report of especially in Southeast Asia including Laos parasitic infection situation from the and Thailand. Usually, helminth infection to Department of Disease Control, Ministry of human by directly eating raw or Public Health of Thailand, the prevalence insufficiently cooked food. Due to deep of parasitic infection were 62.9%, 54.7%, cultural roots, in the southern Saravane 41.7%, 35.0% and 22.5% for year 1957, 1981, Province of Laos, at most 90% of population 1991, 1996 and 2001, respectively. With in the village regularly consume raw or those parasitic infections, Liver Fluke uncooked fish (Sayasone et al., 2007). It infections were found 16.6% in the was estimated that more than two million Northeast region which was the highest people in Laos are currently infected with rate of the Liver Fluke infection among Liver Flukes (Sithithaworn et al., 2012). In other regions in Thailand (Office of Thailand, Liver Flukes were found the most Permanent Secretary, 2011). In Thailand, in the Northeast region of Thailand. In fact, Khon Kaen Province was the critical areas it was also found that the Liver Fluke had due to the highest rate of the Liver Fluke many causes which were associated with incidences (Laoprom et al., 2012). To Cholangiocarcinoma (Sripa et al., 2007). understand behavior of the incidences Apart from this, Northeast region had across geographic regions, many research higher helminth infection rate than other has been conducted, for example,
Wattanayingcharoenchai et al., (2011) The specific objective was to investigate determined the surveillance characteristics environmental factors influencing to the of the Liver Fluke infections in Northeast of distribution of Liver Fluke disease using Thailand using GIS to analyze the Geographically Weighted Regression prevalence of disease on urban and analysis with GIS at Khon Kaen Province, agricultural areas as well as manmade Thailand. land uses. Wongsaroj et al. (2012) studied helminthiasis in Thailand using GIS to 2. MATERIALS AND METHODS identify patterns of high risk for Liver Fluke infestation in order to facilitate prevention 2.1 Study Area and control. Wang (2012) studied the impact of climate and season on habitat Khon Kaen Province lies at the central part and population of the Liver Fluke and the impact of landscape structure and of the Northeast region of Thailand with geologic on larvae and eggs of the parasite. Hence, studies of geographic latitude from 15°N to 17°N and longitude variation have made important contribution to the understanding of how from 101°E to 103°E (Figure 1). Neighboring geography and environmental factors affecting to the distribution of the diseases. provinces include Nonbua Lanphu, Udon To provide a better decision for planning and prevention of the disease, accurate Thani, Kalasin, Mahasarakham, Burirum, spatial mathematical model for disease distribution is still in needed. In the past, Nakhonratchasima, Chaiyaphum, many spatial mathematical models for Liver Fluke distribution were developed, for Phetchabun, and Loei provinces. Total example, Sonsa and Reungsang (2012) developed a multiple regression analysis area of the province is about 10,886 square with GIS using forty-two environmental factors influencing to the distribution of kilometers which roughly 6.5% of the Liver Fluke disease in Khon Kaen Province, Thailand. Similarly, Kaewpitoons and Northeast region area. Based on GIS layer Rujirakul (2015) investigated the human behavior, and environmental factors from Ministry of Interior in 2010, the province influencing to the distribution of Liver Fluke disease using multiple regression analysis is subdivided into 25 districts which further with GIS at Surin Province, Thailand. However, those models usually were build subdivided into 200 sub-districts. Most of the based on traditionally global regression analysis which implicit assume that the terrain is plateau with slope downward impact of covariates is constant across the study area resulting to unrealistic model for from west to southeast. Climate in the large study area. To make the model more realistic, accounting for non-stationarity of region is tropical savanna, in the year relationships in space was considered using Geographically Weighted Regression would have periods of rain during a (GWR) (Fotheringham, Brunsdon, and Chariton, 2003). For this research, improving drought, alternating with the obvious and the model accuracy was our main objective. high temperatures throughout the year. 2.2. Liver Fluke Data Source Epidemiological Unit, the office of Disease Prevention of Thailand collected the incidence of Liver Fluke disease in 2006- 2010 from surveillance system databases and Control, Khon Kaen Province. A number of incidences reported in each district was analyzed annually. During our five years of study, 287 patients from 19 sub-districts within Khon Kaen Province were identified to infect to the Liver Fluke disease and used as a dependent variable in our study (Figure 2) while distribution map of Liver Fluke in Khon Kaen Province shows in Figure 3.
Figure 1: Map of Khon Kaen Province precipitation, average daily temperature, 11 geology types, 23 land use classes, 8 Figure 2: Number of patients who infected salty soil surface area classes, and 14 soil the Liver Fluke disease in 2006-2010 types. Therefore, only the data within 19 sub-districts where the incidences occurred Figure 3: Distribution Map of Liver Fluke in were extracted from the whole sixty Khon Kaen Province for 2006-2010 environmental factors and served as independent variables for this study. 2.3 Environmental Data Sources Sixty environmental factors in each sub- 2.4 Statistical Analyses district from various government agencies To investigate how sixty environmental during year of 2006 to 2010 were collected factors influencing to the distribution of and used in the analyses including Liver Fluke disease in the study, Spatial average annual population, average Analyst and Spatial Statistics Tools Extension elevation level, average annual within ArcGIS Desktop application were applied. To determine relationship between dependent and independent variables, Ordinary Least Squares (OLS) regression analyses were performed. If p- value of those independent variables were less than 0.05, then the independent variables will consider to have relationship with the dependent variable. In fact, if the independent variables have a strong relationship with the dependent variables, with OLS analysis, the asterisk sign (*) will added at the p-value of the independent variables. Once satisfy OLS regression model with reasonable R2 value was developed, to test non-stationarity relationship of the model, the p-value of the Koenker (BP) Statistic (Koenker's studentized Bruesch-Pagan statistic) need to be calculated. If the p-value of the Koenker (BP) Statistic was less than 0.05 with asterisk sign (*), then the model has non-stationarity relationship in space indicating that GWR analysis can be applied to improve the accuracy of the model further. With GWR model, local regression coefficients and associated statistics can then be mapped to display how the independent of covariates changes spatially. 3. RESULTS AND DISCUSSION The relationship between our sixty environmental factors and number of patients of Liver Fluke infection during year of 2006-2010 using OLS analyses revealed that soil type and land use types factors were correlated with the Liver Fluke disease (Table 1).
The factors that have a very high Model validation also showed that Adjust relationship was A7 (pasture and farm R2 was equal to 0.581, meaning that the house) land use type with medium model can be used to calculate the relationship of Silt_CL (Silt Clay Loam) soil. number of patients who infected the This was due to the fact that lifestyle and disease with 58% correctly predicted. occupations of people in the area were Scatterplot on line 1:1 plot (Figure 4) also engaged in agricultural and cattle mostly. supported these statistical results. To Usually, farmers have made ponds for investigate further, the Koenker (BP) agricultural usages. When it rains, the rain Statistic with p-value of 0.000478 from Table will wash off feces into the pond which 1 indicates that the model has non- makes it possible to spread out of the stationarity relationship across our study disease. area. Thus, to account for the spatial heterogeneity of the environmental Table 1: Summary of OLS analysis results factors, GWR analysis was applied with the same independent variables as the Variable Intercept A7 SILT_CL Equation 1 which computed from OLS Coefficient 1.37363 technique including A7 (Pasture and farm StdError -8.250835 79.178807 1.349705 house) and Silt_CL (Silt Clay Loam). Analysis t-Statistic 1.017726 results using ArcGIS Desktop application for Probability 7.224037 16.38147 0.323951 GWR technique is reported as shown in the Robust_SE 0.461994 Table 2. Results from the GWR analysis Robust_t -1.142136 4.833437 2.973261 shows overall Adjusted R2 of the model has Robust_Pr 0.008964* been improved from 0.58 to 0.83. Beside VIF [1] 0.270202 0.000184* 1.033559 the statistical results, all local regression analysis of 19 sub-districts also reported as Input 5.756426 31.470947 # of shown in the Table 3. Features: patients -1.433326 2.515933 182.335544 # of Observations: 0.171019 0.022924* 0.581871 Multiple R2: -------- 1.033559 0.000364* Joint F- OLS Diagnostics 0.000030* Statistic: Data Dependent 0.000478* Joint Wald Statistic: Variable: 0.654574 Koenker(BP) 19 Akaike's Statistic: Information Jarque-Bera Statistic: Criterion (AICc): 0.62833 Adjusted R2: 13.524464 Prob(>F), (2,16) degrees of freedom: 20.845273 Prob(>chi- squared), degrees of freedom: 15.293319 Prob(>chi- squared), degrees of freedom: 0.847542 Prob(>chi- squared), degrees of freedom: Hence, mathematical model for spatial Figure 4: Scatterplot of estimated number of statistics analysis using OLS technique patients from model and number of patients concluded that the relationship between from surveillance database number of patients who infected to the Liver Fluke disease and environmental Table 2. Summary of GWR analysis results factors: pasture and farm house land use; Silt Clay Loam soil type was shown as the Neighbors : 19 equation 1 below. ResidualSquares : 3083.327 Effective Number : 5.724172 Patient number = 79.17 (Pasture and farm house) 15.23979 +1.37 (Silt Clay Loam) Sigma : 169.6721 -8.25 AICc : 0.876031 R2 : 0.831917 Equation 1 Adjusted R2 :
Table 3: Local regression from GWR analysis Also, it possible that some sub-districts have not been surveyed at all which cause the Sub- Number Predicted Local Intercept Coef. Coef. analysis inaccurate. distric of number R2 of of 4.44 A7 Figure 5: Distribution map of patients who t patients of 0.41 4.64 Silt_CL infected Liver Fluke at Khon Kaen Province patients 0.37 5.85 1 1 0.31 -15.74 -3.20 1.41 4. CONCLUSIONS AND RECOMMENDATIONS 2 1 2.89 0.84 -16.74 -4.03 1.39 Our research analyzed the patient 3 1 4.51 0.84 4.40 -5.95 1.32 information who infected to Liver Fluke 4 164 3.40 0.17 5.23 107.34 1.33 disease from 19 sub-districts, Khon Kaen 5 1 141.11 0.17 2.66 106.04 1.41 Province in 2006-2010. We found that the 6 9 2.76 0.21 3.95 8.20 1.32 total number of the patients was 287. To 7 1 5.21 0.17 5.30 1.42 1.32 create Liver Fluke Distribution map in Khon 8 22 5.23 0.21 5.51 21.03 1.31 Kaen Province of Thailand, statistical 9 4 3.51 0.19 -13.98 11.89 1.32 analyses including Ordinary Least Squared 10 10 9.26 0.76 -13.28 0.16 1.33 Regression (OLS) and Geographically 11 9 5.34 0.72 -14.89 -1.01 1.32 Weight Regression were performed. Results 12 34 5.51 0.76 -15.48 96.00 1.39 from OLS analysis revealed that two 13 2 29.62 0.81 -14.84 89.53 1.44 environmental factors correlated with the 14 2 6.59 0.78 5.26 95.93 1.45 Liver Fluke disease including: pasture and 15 1 5.30 0.31 -13.55 102.12 1.39 farm house; and silt clay loam soil. 16 19 -10.55 0.79 -15.55 98.69 1.40 Based on these factors, mathematical 17 1 54.33 0.79 -5.27 1.35 model was constructed with Adjusted R2 18 1 5.20 100.60 1.29 value of 0.58. Therefore, with the Koenker 19 4 17.31 98.96 1.45 (BP) Statistic, non-stationarity has been -15.55 identified. To account spatial heterogeneity of the environmental factors Based on the Intercepts and Coefficient in the study, GWR analysis was applied with values from the Table 3, nineteen the same independent variables. Results equations can be built to predict number from GWR analysis improved the overall of patients in each sub-district. In addition, model accuracy with by increasing with the GWR analysis using information Adjusted R2 value to 0.83. With the GWR from the Table 2 and 3, number of patients analysis, map of Liver Fluke disease who infected the Liver Fluke disease can be estimated using two environmental factors which are Pasture and farm house of land use type and Silt Clay Loam soil as predictors for all sub-districts in Khon Kaen Province. Distribution map of patients who infected Liver Fluke at Khon Kaen Province in 2006-2010 is showed in Figure 5. However, the number of patients from a mathematical model did agree well with the survey report from Epidemiological Unit, the office of Disease Prevention, since the overall Adjusted R2 value of the model was 0.83. Therefore, the model calculated number of patients based on the area size of land use and soil types for pasture and farm house and silt clay loam, respectively, so if those areas are very large, the number of patients will be large. In contrast, if there is no pastures and farm house and silt clay loam soils in the sub-district, the number of patients will be calculated as a negative number in some case, if the intercept value of the model is a negative number. However, it is possible that the mathematical model can give error prediction due to the survey data in each sub-district does not continuously collect every year.
distribution could be made to assist in Sayasone, S., Odermatt, P., Phoumindr, N., identifying areas where vulnerability is high for decision-making and planning in order Vongsaravane, X., Sensombath, V., to prevent or control the spread out of the disease. In addition to this research, in the Phetsouvanh, R., Choulamany, X. and future, both survey patient information and environmental factors should be collected Strobel, M., 2007, Epidemiology of continuously in order to improve the model prediction. Opisthorchis Viverrini in a Rural District of ACKNOWLEDGEMENTS Southern Lao PDR. Trans. R. Soc. Trop. We would like to thank Khon Kaen University for supporting grant to attend the Med. Hyg. 101, 40–47. conference. Sithithaworn, P., Andrews, R. H., Nguyen, V. REFERENCES D., Wongsaroj, T., Sinuon, M., Odermatt, Fotheringham, A. S., Brunsdon, C., Chariton, M. and 2003, Geographically Weighted P., Nawa, Y., Liang, S., Brindley, P. J. and Regression: The analysis of spatially varying relationships. John Wiley & Sons. Sripa, B., 2012, The Current Status of Jongsuksuntigul, P., 2002, Infection by Opisthorchiasis and Clonorchiasis in the Parasites in the Northeast. Report of the Seminar: Infection by Parasites in the Mekong Basin. Parasitol. Int. 61, 10–16. Northeast, Khon Kaen, Thailand. Sonsa, A. and Reungsang, P., 2012, A Kaewpitoon, K., Kaewpitoon, S. and Rujirakul, R., 2015, Using of Geographic spatial analysis of liver fluke diseases Information System for Risk area analysis of Liver Fluke in Thailand. The 3rd distribution using GIS in Khon Kaen International Conference on Prevention and Infection Control (ICPIC 2015), June province, Thailand. The 33rd Asian 16-19, at Geneva, Switzerland. conference on remote sensing, Laoprom, N., Sithithaworn, P., Andrews, R. H., Ando, K., Laha, T. and Klinbunga, S., November 26-30 at Ambassder city Webster, J. P. and Petney, T. N., 2012, Population Genetic Structuring in Jomtien hotel, Pattaya, Thailand. Opisthorchis viverrini over Various Spatial Scales in Thailand and Lao PDR. PLOS Sripa, B., Kaewkes, S., Sithithaworn, P., Neglected Tropical Diseases, 6(11), 1-9. Mairiang, E., Laha, T., & Smout, M. et al. Office of Permanent Secretary, 2011, Highlights of the week. Health, 4(31). (2007). Liver Fluke Induces Cholangiocarcinoma. PLoS Medicine, 4(7), 1148-1155. Wang, Y. C., 2012, Examining Landscape Determinants of Opisthorchis viverrini Transmission. EcoHealth, 9, 328-341. Wattanayingcharoenchai, S., Nithikathkul, C., Wongsaroj, T., Royal, L. and Reungsang, P., 2011, Geographic information system of Opisthorchis viverrini in northeast Thailand. Asian Biomedicine, 5(5), 687-691. Wongsaroj T, Nithikathkul C, Reungsang P, Loyal. L., Na kai, W., Krailas, D. and Ramasoota, P., 2012), Geographic information of helminthiasis in Thailand. International J Geoinformatics, 8, 59-64.
Geo spatially controlling Dengue the Worst Epidemic Thiyagarajan Jayaraman Kantharaj,1 Sasikumar Balasundaram,2 Sakthivel Anbu,3 Senthilkumar Swaminathan Sambandan4 and Ghouse Mohamed Shaik5 Sri Venkateswara college of Engineering and Technology, Thirupachur, Thiruvallur Anna University, Tamil Nada, India, E-mail: [email protected], 1 [email protected],2 [email protected],3 [email protected],4 [email protected] ABSTRACT Dengue fever or break bone fever, is a Mosquito-borne tropical disease spread by dengue virus genus Aedes. It has become an international epidemic since the Second World War affecting more than 110 countries. Though it is known from 1779, it’s viral cause and transmission were understood only in early 20th century.The number of cases of dengue fever has increased dramatically from 50 and 528 million per year from 1960s,. The persons affected by Dengue have one of the symptoms like fever, headache, muscle and joint pains and a characteristic skin rash that is similar to measles. The disease develops in few into the life-threatening dengue hemorrhagic fever, resulting in bleeding, low levels of blood platelets and blood plasma leakage or dengue shock syndrome, where dangerously low blood pressure occurs. It is transmitted by several species of mosquito within the genus Aedes, principally A. aegypti. The virus has five different types out of which one type usually gives lifelong immunity , while other provide short-term immunity to the affected. Subsequent infection in the second type increases the risk of severe complications. There is no commercially available vaccine. Prevention by reducing the habitat of mosquito within the genus Aedes , the number of mosquitoes and limiting exposure to bites. Treatment of acute dengue is by using either oral or intravenous rehydration for mild or moderate disease, intravenous fluids. Blood transfusion is given for more severe cases. Apart from eliminating the mosquitoes, research1 is under progress to get dengue vaccine1. The medication targeted directly at the virus. The paper explains present condition of the study Area Thiruvallur and preventive and protective measures to be adopted with Geo spatial analysis for the study area. 1. INTRODUCTION Department of the army. In a 1789 when The origins of the Spanish word dengue are not certain, but it is possibly derived the epidemic was reported in 1780 from dinga in the Swahili phrase Ka-dinga at Philadelphia USA he used the more pepo, which describes the disease as formal term \"bilious remitting fever\" In the being caused by an evil spirit. Slaves in the report title. The term Dengue fever came West Indies having contracted dengue into general use only after 1828. Other were believed to have the posture and historical terms include \"break heart fever\" gait of a dandy, and the disease was and \"la dengue\". Terms for severe disease known as \"dandy fever\"2. The term \"break- include \"infectious thrombocytopenic bone fever\" was applied by Benjamin Rush, purpura\" and \"Philippine\", \"Thai\", or who officially went down in U.S. history as a \"Singapore hemorrhagic fever\". founding father when he became one of The first record of a case of probable the signers of the Declaration of dengue fever is recorded in a Chinese Independence, and he carried his medical medical encyclopedia from the Jin knowledge with him through the war effort Dynasty (265–420 AD) which referred to a as surgeon general of the Middle \"water poison\" associated with flying
insects. The primary vector, A. aegypti, 2. DENGUE FEVER spread out of Africa in the 15th to 19th Though Dengue is an epidemic, the centuries due to increased globalization consoling fact is 80% infected persons with and the slave trade. There have been dengue virus4 are asymptomatic and have descriptions of epidemics in the 17th only mild symptoms such as an century. The most plausible early reports of uncomplicated fever. Only 5% have severe dengue epidemics are from 1779 and 1780 illness and in a small proportion and it is life- when an epidemic swept across Asia, threatening. The time between exposure Africa and North America. Transmission by and onset of symptoms incubation period the Aedes mosquitoes was confirmed. is from 3 to 14 days, but most often it is 4 to Dengue was the second disease (after 7 days Travelers returning from endemic yellow fever) that was shown to be caused areas are unlikely to have dengue if fever by a virus in 1906 to 1907. The investigations or other symptoms start more than 14 days by John Burton Cleland and Joseph after arriving home. Though initial Franklin Siler, completed the basic symptoms are generally mild but include understanding of dengue transmission. The high fever in children. They often marked spread of dengue during and after experience symptoms similar to those of the Second World War has been attributed the common cold and gastroenteritis to ecologic disruption3. The same trends (vomiting and diarrhea). also led to the spread of different serotypes of the disease to new areas. The 3. CLINICAL COURSE emergence of dengue hemorrhagic fever, The characteristic symptoms of dengue the severe form of the disease was first sudden-onset fever, headache (typically reported in the Philippines in 1953. It had located behind the eyes), muscle and joint become a major cause of child mortality pains, and a rash. The course of infection is from 1970s. It had emerged Pacific and divided into three phases: febrile, critical, America as Dengue hemorrhagic fever. and recovery. The febrile phase involves The dengue shock syndrome were first high fever, potentially over 40 °C (104 °F), recorded in Central and South America in and is associated with generalized pain 1981, as DENV-2 when it contracted by and a headache; this usually lasts two to people who had previously been infected seven days. with DENV-1 several years earlier. Figure 1: Schematic depiction of the Figure 2: Clinical course of dengue fever symptoms of dengue fever
Nausea and vomiting may also occur. A three days. The improvement is often rash occurs in 50–80% of those with striking, and can be accompanied with symptoms in the first or second day of severe itching and a slow heart symptoms as flushed skin, or later in the rate. Another rash may occur with either course of illness (days 4–7), as a measles- amaculopapular or vasculitic appearance, like rash. A rash described as \"islands of which is followed by peeling of the white in a sea of red\" has also been skin. During this stage, a fluid overload state observed some petechiae (small red spots) may occur; if it affects the brain, it may that do not disappear. When the skin is cause a reduced level of pressed, (which are caused by consciousness or seizures. A feeling broken capillaries) can appear at this of fatiguemay last for weeks in adults.6 point, as some mild bleeding from the mucous membranes of the mouth and 4. ASSOCIATED PROBLEMS Dengue can occasionally affect several nose. The fever itself is classically other body systems, either in isolation or along with the classic dengue symptoms. A biphasic or saddleback in nature, breaking decreased level of consciousness occurs in 0.5–6% of severe cases, which is and then returning for one or two days. In attributable either to inflammation of the brain by the virus or indirectly as a result of some people, the disease proceeds to a impairment of vital organs, for example, the liver. Other neurological disorders have critical phase as fever resolves with been reported in the context of dengue, such as transverse myelitis and Guillain- leakage of plasma from the blood vessels, Barré syndrome. Infection of the heart and acute liver failure are among the which may last for one or two days. This rarer complications. The Satellite Imagery of the wet lands and tanks of Thiruvallur result in fluid accumulation in the chest and and it’s neighboring villages is shown below. The image with layers of Vegetation abdominal cavity as well as depletion of and Stagnant water details the dampness in Thiruvallur area. This forms the source of fluid from the circulation and decreased Dengue fever as the mosquito breeds good water. The Dengue mosquitoes do blood supply to vital organs. There may be not breed in Sewerage. The area near Thiruvallur Railway station has lot of organ dysfunction and severe bleeding, vegetation and water around it because of cultivated lands and gardens. typically from the gastrointestinal tract. Shock (dengue shock syndrome) and hemorrhage (dengue hemorrhagic fever)5 occur in less than 5% of all cases of dengue, however those who have previously been infected with other serotypes of dengue virus (\"secondary infection\") are at an increased risk. This critical phase, while rare, occurs relatively more commonly in children and young adults. The recovery phase occurs next, with resorption of the leaked fluid into the bloodstream. This usually lasts two to Figure 3: Satellite image of Thiruvallur and Figure 4: The image with layers of surrounding villages Vegetation and Stagnant water
Figure 5: Thiruvallur Railway station on Figure 6: The fresh water ponds in low Cooum bank has good source for lying area helps Dengu Mosquitos breeding mosquitos 5. DIAGNOSIS 7. PREVENTION 1. Worsening abdominal pain9 There are no approved vaccines for the 2. Ongoing vomiting dengue virus. Prevention thus depends on 3. Liver enlargement control and protection from the bites of the 4. Mucosal bleeding mosquito that transmits it. The World Health 5. High hematocrit with low platelets Organization recommends an Integrated 6. Lethargy or restlessness Vector Control program8 consisting of five 7. Serosal effusions elements: 6. CLASSIFICATION 1.Advocacy, social mobilization and The World Health Organization's 2009 classification divides dengue fever into two legislation to ensure that public health groups: uncomplicated and severe. Severe dengue is associated with severe bleeding, bodies and communities are strengthened; severe organ dysfunction, or severe plasma leakage while all other cases are Collaboration between the health and uncomplicated. The 1997 classification divided dengue into undifferentiated fever, other sectors (public and private);An dengue fever, and dengue hemorrhagic fever. Dengue hemorrhagic fever was integrated approach to disease control to subdivided further into grades I–IV. maximize use of resources; Evidence-based Grade I is the presence only of easy bruising or a positive tourniquet test decision making to ensure any in someone with fever, interventions are targeted appropriately; Grade II is the presence of spontaneous bleeding into the skin and Capacity-building to ensure an and elsewhere, adequate response to the local situation. Grade III is the clinical evidence of shock, and The Health GIS project by SVCET will ensure Grade IV is shock so severe that evidence based decision making.The blood pressure and pulse cannot be detected. Grades III and IV are primary method of controlling A. aegypti is referred to as \"dengue shock syndrome\"7. by eliminating its habitats. The habitate as shown above should be maintained by draining water and removing the vegetation near water bodies to prevent mosquito growth. Getting rid of open sources of water, if not possible, by adding insecticides or biological control agents to these areas. Generalized spraying with organo phosphate or pyrethroid insecticides, while sometimes done, is not thought to be effective. resting, and/or the application of insect-repellent10
increasing in some areas, probably due to urbanization increasing the habitat of A. aegypti. The range of the disease appears to be expanding possibly due to climate change. The Health Department and Municipality have given publicity to remove old tyres, batteries, drums, coconut or small vessels article on roof top or in gardens. The gardens in the house should be mopped and prevent it to be a home for mosquitos. Air conditioners or Air coolers should be checked daily to drain water. Figure 7: Stagnant water from bath room 8. CONCLUSION and plants to be removed. Visual and print media creates sensation about Dengue in India. Dengue is 95% Figure 8: Rain water in street to be drained controllable and we can avoid fatality. Reducing open collections of water Only 5% who are severely affected by through environmental modification is the repeated fever needs much attention. If preferred method of control, given the we drain water from every source and concerns of negative health effects from control vegetation the Dengue mosquito insecticides and greater logistical will not get place to breed. We already difficulties with control agents. The aware of the fact that mosquito nets, stangnant rain water in streets are the closing the windows and doors at dawn source for mosquito growth. If the pits are and dusk had prevented mosquitoes from closed fresh water storage during rain may entering the house in the past and now. Full be avoided. People can prevent mosquito arm garments further protects us. The bites by wearing clothing that fully covers Dengue prevention should start from each the skin, using mosquito netting while house hold. The Health GIS created by Sri However, these methods appear not to be Venkateswara College of Engineering and the frequency of outbreaks appears to be Technology, Thiruvallur will be a tool to study the area to be cleared from Vegetation, draining of the water and monitoring the health schemes using large scale Health GIS. BIBLIOGRAPHY 1. Normile, D. 2013. \"Surprising new dengue virus throws a spanner in disease control efforts\". Science 342 (6157): 415. doi:10.1126/science.342.6157.415. PMID 24159024. 2. Whitehorn, J. and Farrar, J., 2010, Dengue\". Br. Med. Bull. 95: 161–73. doi:10.1093/bmb/ldq019- .PMID 20616106. 3. Bhatt, S., Gething, P. W., Brady, O. J., et al. 2013, \"The global distribution and burden of dengue\". Nature 496 (7446): 504– doi:10.1038/nature12060. PMC 3651993. PMID 23563266.WHO (2009), 14–16.
4. Gubler DJ (2010). \"Dengue viruses\". In Mahy 8. Tattersall, R (2001). \"Diseases the doctor (or BWJ, Van Regenmortel MHV. Desk Encyclopedia of Human and Medical Virology. autoanalyser) says you have got\". Clinical Boston: Academic Press. pp. 372–82. ISBN 0-12- 375147-0. Medicine (London) 1 (3): 230–3. doi:10.7861/clinmedicine.1-3-230. PMID 11446622. 5 .Ranjit S, Kissoon N (January 2011). \"Dengue 9. Watson, A. J.; Walker, J. F.; Tomkin, G. H.; Finn, M. M.; Keogh, J. A. (1981). \"Acute Wernickes hemorrhagic fever and shock syndromes\". encephalopathy precipitated by glucose loading\". Irish journal of medical science 150 Pediatr. Crit. Care Med. 12 (1): 90–100. (10): 301–303. doi:10.1007/BF02938260. PMID 7319764. doi:10.1097/PCC.0b013e3181e911a7. PMID 20639791. 6. Varatharaj A (2010). \"Encephalitis in the 10. Vinson, B. (2012). Language Disorders Across clinical spectrum of dengue infection\". Neurol. the Lifespan. p. 94. Clifton Park, NY: Delmar India 58 (4): 585–91.doi:10.4103/0028-3886.68655. PMID 20739797. 7. Simmons CP, Farrar JJ, Nguyen vV, Wills B REFERENCES (April 2012). \"Dengue\". N Engl J Med366 (15): 1423–32. doi:10.1056/NEJMra1110265. PMID WHO (2009). Dengue Guidelines for Diagnosis, 22494122. Treatment, Prevention and Control (PDF). Geneva: World Health Organization. ISBN 92-4- 154787-1.
Technical Session: 2 21 HealthGIS Database and Emerging Disease 22 23 Access to Healthcare Facilities and the Prevalence of Diabetes in Rural 24 South India: the UDAY-GIS Study 25 Balaji Gummidi, Nikhil, S. V., Safraj, S., Rao, B., Tandon, N., Prabhakaran, 26 D., Reddy, K. S. and Mohan, S. 27 28 Identification of Gene Expression in Microarray Images using Noise Reduction Valarmathi, S., Sridhar, S., Harathi, P. B., Prashanthi Devi M. and Balasubramanian, S. An Index and a Spatial Portray of Illiteracy and Its Covariates of Chennai City Vasna Joshua and Venkatasubramanian, S. Spatial Ecological Analysis of Taluk-Level Satellite Particulate Matter Concentrations and Lung Cancer Incidences: A Study in the Western Districts of Tamil Nadu, India Janani Selvaraj, Prashanthi, Devi. M. and Harathi, P. B. Spatial Analysis of Population at Risk through Estimation of PM2.5 Exposure Index Janani Selvaraj, Anupama Natesh, Prashanthi Devi. M., Harathi P. B. and Hemanth Kumar H. Spatio-Temporal Epidemiological Pattern of Breast Cancer - A Case Study of Southern Karnataka, India Madhu, B., Srinath, K. M., Vidyalakshmi, R., Prashanthi Devi M., Ashok, N. C. and Balasubramanian, S. Healthcare Accessibility and Geospatial Analysis - A Case of Greater Mumbai Rupanjali Dasgupta, Dipti Mukherji and Souvik Bandopadhyay Atypical Infiltrating Ductal Carcinoma –A Case Report Surya. B. and Murali, R.
Access to Healthcare Facilities and the Prevalence of Diabetes in Rural South India: the UDAY-GIS Study Balaji Gummidi, Nikhil, S. V., Safraj, S., Rao, B., Tandon, N., Prabhakaran, D., Reddy, K. S. and Mohan, S. Public Health Foundation of India, India Email: [email protected], [email protected] ABSTRACT Asymptomatic nature of diabetes together with poor access to healthcare facilities is one of the reasons for increase in diabetes prevalence in India. However, there are no studies summarizing the spatial association between access to healthcare facilities and the prevalence of diabetes in India. The objective of UDAY is to prevent, detect and reduce the risk of diabetes and hypertension and to improve the treatment and management of individuals with either or both conditions. The Geographic Information System (GIS) component of UDAY (UDAY-GIS Study) aims to investigate whether neighborhood built environment characteristics such as access to healthcare facilities are associated with diabetes in rural Vishakhapatnam, South India. In the UDAY-GIS study we propose to quantify the access to healthcare facilities (public and private) where diagnosis of diabetes is possible and households whose residents self-reported or were detected with diabetes in the baseline survey of UDAY. UDAY health Workers were specially trained to capture geographic position system (GPS) coordinates of study households and selected built environment features using portable GPS machines. Analysis will be carried out at the both household and area level. Associations between the distance to healthcare facilities and the prevalence of diabetes will be examined. Distance calculations will be carried out using the Network Analysis tool in ArcGIS. Other spatial analytic techniques such as hotspot analysis, and spatial regression will be employed to identify high risk clusters and others factors influencing diabetes prevalence in the study area. UDAY- GIS study will help in better understanding the relationship between spatial access to healthcare facilities and prevalence of diabetes in rural south India and in developing targeted interventions to combat the increasing burden of diabetes. KEYWORDS: Access, healthcare, facilities
Identification of Gene Expression in Microarray Images using Noise Reduction Valarmathi, S.,1 Sridhar, S.,2 Harathi, P. B.,3 Prashanthi Devi M.4 and Balasubramanian, S.5 1Department of Biochemistry, PSG College of Arts & Science, Coimbatore, Tamil Nadu, India 2Department of Computer Application, Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, Tamil Nadu, India 3Department of Zoology, PSGR Krishnammal College for Women, Coimbatore, Tamil Nadu, India 4Department of Environmental Management, Bharathidasan University, Trichy, Tamil Nadu, India 5Director-Research, JSS University, Mysore, Karnataka, India E-mail: [email protected] ABSTRACT Human genome discovery generated significant anticipation for understanding the roles played by genes on cell behavior in a better manner and their resulting impact on human health. Microarray technology is an efficient method for screening and diagnosing cancer in an early stage of development and also provides valuable information on disease pathology, progression, resistance to treatment, and response to cellular microenvironments. In this study, the microarray image of a cancer patient was used to reduce the noise using an algorithm. Microarray data of breast cancer genes was obtained from National Institute of Animal Science and Rural Development Administration, Suwon, South Korea. Algorithms were developed for noise reduction and for calculating the intensity of gene expression of BRCA1 and BRCA2 genes. The noise removed image was utilized to identify the expression of the gene based on the intensity of the spot. Results showed that the algorithms successively reduced the noise and the expression value of microarray gene image was efficiently analyzed. The gene expression value will predict the presence / absence of the abnormal gene. This analysis provides a rich and challenging environment for further study especially in the multivariate analysis of breast cancer by incorporating more realistic and sophisticated measures which exploit the condition of the disease. KEYWORDS: Microarray, Gene expression, noise reduction
Search
Read the Text Version
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 20
- 21
- 22
- 23
- 24
- 25
- 26
- 27
- 28
- 29
- 30
- 31
- 32
- 33
- 34
- 35
- 36
- 37
- 38
- 39
- 40
- 41
- 42
- 43
- 44
- 45
- 46
- 47
- 48
- 49
- 50
- 51
- 52
- 53
- 54
- 55
- 56
- 57
- 58
- 59
- 60
- 61
- 62
- 63
- 64
- 65
- 66
- 67
- 68
- 69
- 70
- 71
- 72
- 73
- 74
- 75
- 76
- 77
- 78
- 79
- 80
- 81
- 82
- 83
- 84
- 85
- 86
- 87
- 88
- 89
- 90
- 91
- 92
- 93
- 94
- 95
- 96
- 97
- 98
- 99
- 100
- 101
- 102
- 103
- 104
- 105
- 106
- 107
- 108
- 109
- 110
- 111
- 112
- 113
- 114
- 115
- 116
- 117
- 118
- 119
- 120
- 121
- 122
- 123
- 124
- 125
- 126
- 127
- 128
- 129
- 130
- 131
- 132
- 133
- 134
- 135
