HealthGIS 2021 E-Abstract proceeding Volume

Content c d Preface f Foreword 1 10 Program Schedule 15 Keynote Speakers 25 31 Technical Session 1: 40 49 Theme: Vector-Borne Disease 54 63 Technical Session 2: 69 71 Theme: Tropical Diseases Technical Session 3: Theme: Bigdata Analytics in Health, Machine Learning and Artificial Technical Session 4: Theme: Traditional Medicine Technical Session 5: Theme: Lifestyle Disease Technical Session 6: Theme: Infectious Disease Technical Session 7: Theme: Environment and Health Technical Session 8: Theme: COVID-19 Technical Session 9: Theme: Nutrition and Human Health Posters Session Authors Index a 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Committees Organising Committee Prof. Nitin Kumar Tripathi, Int. Journal of Geoinformatics, Conference Chairman Dr. Choosak Nithikathkul, Mahasarakham University, Thailand – Organising Secretary Dr. Roheet Bhatnagar, Manipal University Jaipur, India - Organising Secretary Mr. Ranadheer Mandadi, SHE Foundation, Program Coordinator Ms. Nitiporn Saardmoung, Conference Registration and Office Coordinator International Advisors Prof. Iyyanki V Murali Krishna, Chief Advisor, Smart Village Movement, India Prof. Venkatesh Raghawan, Osaka City University, Japan Dr. Rosline Hassan, Universiti Sains Malaysia, Malaysia Dr. Jagdish Gulati, United Medicity, India Dr. B. Raj, Neo Medical, Ukraine Dr. Klarnarong Wongpituk, Suansunandha Rajabhat University, Thailand Technical Advisors Dr. Rosline Hassan, Universiti Sains Malaysia, Malaysia Dr. Divya B. Raj, SHE Foundation, India Dr. Kumuduni Kumarihamy, University of Peradeniya, Sri Lanka Dr. K. Sarat Kumar, KL University, India Dr. Wutjanun Muttitanon, Mahidol University, Thailand Dr. Muhammad Shahzad Sarfraz, FAST-National University, Pakistan Dr. Nakarin Chaikaew, University of Phayao, Thailand Dr. Phaisarn Jeefoo, University of Phayao, Thailand Dr. Krit Chaimoon, Mahasarakham University, Thailand Dr. Wuttiphong Phakdeekul, Kasetsart University, Thailand Dr. Haoran Zhang, GISTDA, Thailand Asst. Prof. Aree Sanguanchue, Valaya Alongkorn Rajabhat University under the Royal Patronage, Thailand Technical Coordination Team Ms. Arlene L. Gonzales Mr. Kona Venkata Anantha Kiran Mr. Ganapathy b 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Preface The Foundation of a sustainable civilization is the health of living Dr. Nitin Kumar Tripathi beings. This can not be better understood than now as the whole world is reeling under the pandemic since November Professor- Asian Institute of Technology, 2019. This has disrupted the economic and social lives of human Thailand beings. Economies are hit, jobs of people are gone, massive salary cuts and loss of business are all long trails of human Organizing Chairperson, 7th Int Conf on beings. COVID-19 has taught us all how underprepared we Health GIS, humans are to face this kind of disease outbreaks and pandemic. The question of how to deal with this and save Editor-in-Chief, International Journal of ourselves in future is in front of us and seeks an answer. Can Geoinformatics vaccines ensure safety from COVID-19? Sincere thanks to scientists from the USA, India, China, UK and Russia that in record E-mail: [email protected] less time they have come out with several vaccines. Though the vaccines are available, and it is hoped that by the middle of the Dr. Nitin Kumar Tripathi is Profesor, next year 2022 most of the population will be vaccinated and Leader, Information and Communication the world will be able to move steadily like pre- pandemic Technology, School of Engineering and situation. But, what about new variants or entirely new viruses Technology; The Coordinator, Remote hitting humans? Sensing and GIS Department in Asian Institute of Technology, Bangkok, Finally, the old saying that prevention is better than cure Thailand. Prior to this, he also was the holds good. Preparedness and coping capacity will come when Dean, School of Engineering and the causes and habitat of agents of diseases are better Technology, Director, Academic Quality, understood using technologies such as remote sensing, GIS, IoT, Director, UNIGIS@AIT, Coordinator- BIGDATA, deep learning, machine learning, AI and other data Remote Sensing and GIS and Associate analytic technologies. There is a need to bring experts of Dean in Asian Institute of Technology. He medical science, bioscience, space technology, ICT and data is Editor-in-Chief of International Journal science on one platform and share their experiences to develop of Geoinformatics. His research interests a new approach to solve the issue of disease risk reduction and are Geoinformatics Applications for enhance preparedness and coping capacity in facing such Location Based Services, Health, Forest, grim situations like the COCID– 19. Environment, Marine and Coastal Zone Monitoring. He has authored around 131 Apart from a pandemic, humans are also faced with a papers in International Journals and situation like lack of medical facilities, medical professionals and International Conference Proceedings. treatment costs that is beyond the reach of common people. He is also author of a book “Remote Environmental and human-induced causes such as water and Sensing in Geosciences”. He is recipient air pollution continue to adversely affect human health. 7th of DAE Young Scientists Award, AICTE International Conference on Health GIS will address these points Career Award, and Osaka City University and hope experts will hatch out some useful recommendations Distinguished Researcher Award. In for research and procedures to face the situation in a much addition several of his papers were better way. awarded Best Paper in International The new normal of our lives in pandemic has shown a way to Conferences. He has carried out adopt IT and have the conference online. This may be new to sponsored projects from European Union, us, but it assembled top experts from all around the world UNEP, Royal Thai Government, without travelling and spending huge cost and time. I express Government of India, Private Sectors. He my sincere thanks to all my organizing team members for their has been actively involved in tireless efforts to make this happen. I also thank all Keynote conducting training programs for Speakers, Chairpersons of sessions, technical and poster UNODC, UNEP, FAO, Forestry Dept. of presenters for their exciting work being presented. Finally, the Nigeria, GISTDA Thailand, MACRES support from our Knowledge Partner is gratefully acknowledged. Malaysia and several others. Dr. Tripathi Thanks for your support and for making this virtual congregation was working from 1989 to 1999 in Indian EFFECTIVE for humanity. We all are a team to work for making Institute of Technology (IIT) Kanpur, India the earth free from fear of disease and ensure better health. prior to joining Asian Institute of Technology in 1999. He has published 1 book, 11 chapters in books, 73 research papers in peer-reviewed Journals and 58 conference papers. He has guided 93 Masters students and 23 Doctoral students c 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Foreword Dr. Choosak Nithikathkul, Ph.D. Tropical and Parasitic Diseases I have the pleasure of warmly welcome you to the 7th International Conference on HealthGIS 2020, Thailand. On Research Unit this occasion, the Faculty of Medicine, Mahasarakham Ph.D. in Health Sciences University is proud to be one of the knowledge partners in the 7th International Conference on Health GIS 2020. I program certainly hope that participation will be fruitful through M.Sc. in Tropical Health acquiring knowledge on Health Geographic Information System, Vector-Borne Disease, Tropical Disease, Big data Innovation Program Analytics in Health, Machine Learning and Artificial Faculty of Medicine, Intelligence, Traditional Medicine, Nutrition and Human Mahasarakham University Health, Infectious Disease, Environment and Health, Organizing Secretary COVID-19, Lifestyle Disease. I encourage all interested parties to submit their manuscripts to the International E-mail: Journal of Geoinformatics. Finally, I wish for a successful [email protected] conference. d 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Foreword I am happy to note that Health GIS 2021 the ‘7th Dr. Roheet Bhatnagar International Conference on Geo Intelligence for Smart Professor CSE and Healthcare’ is being organized at the Asian Institute of Technology, Thailand during 25-26 February 2021. This Director – Research interdisciplinary conference will bridge Geospatial Department of Computer Science science and other allied sciences. Diverse areas related to smart healthcare, data analytics on healthcare data and Engineering for meaningful insights & visualizations, machine learning School of Computing & technologies & applications in healthcare are some of the Information Technology key themes. This conference will be the confluence of Manipal University Jaipur bright young minds who can interact and share the latest research and technology. Manipal University Jaipur, India Rajasthan, India is proud to be associated as a E-mail: roheet.bhatnagar@j- knowledge partner and feels that such conferences will boost the cutting-edge developments in the aipur.manipal.edu interdisciplinary fields and will bring academia, R&D and industries closer through the different sessions of the Roheet Bhatnagar is a Professor conference. I am confident that the deliberations at in the Department of Computer HealthGIS-2021 will initiate and enrich collaborative Science & Engineering, School research among the allied fields of science and of Computing & IT & Director, engineering as well as educate the students and Directorate of research. He is researchers through deliberations. working at MUJ since 2012 and is a part of the Manipal Group I take this opportunity to acknowledge the efforts and since 2008. He has vast enthusiasm of the organizers of this conference and experience spanning around 20 extend my congratulations to the HealthGIs-2021 team. I years both in the industry as well convey my best wishes for the conference and expect it as academics. He has done his to be a resounding success. BE in Computer Science, MTech in Remote Sensing from Birla Institute of Technology, Mesra, Ranchi. His PhD is in Engineering and the Software Engineering domain from Sikkim Manipal Institute of Technology (SMIT), Sikkim - a constituent institute of Sikkim Manipal University, Sikkim, India. He is a Senior Member - IEEE, life members ISTE, ISRS and has published over 60 research papers in reputed conferences and journals. e 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Time (Hrs) Program Schedule 08:30-09:30 25 Thursday, 2021 Event Opening Ceremony, Bangkok, Thailand Welcome – Prof. Iyyanki V Murali Krishna, Chairman Opening Ceremony Introducing Conference - Prof. Nitin Kumar Tripathi – Conference Chair Address - Dr. Opart Karnkawinpong, Director General, Department of Disease Control Ministry of Public Health Address - Dr. Pakorn Apaphant- Executive Director GISTDA Address - Dr. Siriwan S, Vice-Rector Thammasat University Address – Prof. G K Prabhu – President, Manipal University, Jaipur, India (09:30-11:00) Key Note Session1: Chair- Prof. Iyyanki V Murali Krishna, Prof. Roheet Bhatnagar Dr. Derek Erhhardt – US Centers for Disease Control and Prevention (CDC), USA “Polio Eradication: How Technologies are helping us Travel the Last Mile” Dr. Ganapathy Krishnan - Director, Apollo Telemedicine Networking Foundation, India “Telehealth in 2020 and Beyond” Dr. Chi Ren Shyu – Director IDSCI, University of Missouri, Columbia, USA “Geospatially-Enabled Deep Analytics for Precision Rural Health – Case Studies on Telemedicine and Disaster Resilience” 11:00-11:30 Tea and Poster Session: Display of Poster 11:30-13:00 Industry Key Note Session: Chair - Prof. Rosline Hassan, Mr. Ranadheer Mandadi Mr. Frank Cosley – Director, ANZER IT Healthcare Canada and Asia “Smart Healthcare: AI-powered EHR Solutions for Clinical Decisions” 13:00-14:00 Mr. Saksin Chongolnee, CCM Thailand 14:00 -15:30 Lunch Technical Session 1: Vector-Borne Disease Chair Session: 1. Dr. Sucheera Amornmahaphun - Mahasarakham University Thailand 2. Dr. Ei Ei Phyo Mint - Mahasarakham University Thailand Geographical Information of Malaria infections in Balochistan Province of Pakistan; A Trend Analysis of Malaria Sarmad Saeed Khan, Chairat Uthaipibull, Ghani Baloch and Choosak Nithikathkul Mapping and Intervention of Malaria Situation in Sisaket Province Sutthisak Noradee, Chairat Uthaipibull and Choosak Nithikathkul Trend and Spatial Analysis of Dengue Cases in Northeast Malaysia Afiqah Syamimi Masrani Nik Rosmawati Nik Husain, Kamarul Imran Musa and Ahmad Syaarani Yasin f 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatial Density of Aedes Distribution in Urban Areas: A Case Study of Breteau Index in Melaka, Malaysia Mohd Hazrin Hashim, Farihan Yatim, Mohd Amierul Fikri Mahmud, Faizul Akmal Bin Abdul Rahim, Mohd Hatta bin Abdul Mutalip Spatio-Temporal Pattern Analysis of Typhoid and Diarrhea Cases and Associated Factors in Draught Districts of Andhra Pradesh, India 2013-2017 S V S Aditya Bharadwaz Ganni Exploring Geospatial Analysis to Map Malaria Endemicity and Applied Interventions in a Rural District of Chhattisgarh, India Hitakshi Sharma and Sunil Vilasrao Gitte Spatial Mapping and Temporal Correlation Analysis between Mosquito-borne Diseases and Meteorological Factors in Mannar, Sri Lanka K.K.S. Amandika. Withanage, N.K. Tripathi, Chitrini Mozumder, R.D.J. Harishchandra, Prasad Ranaweera, A.Y.K. Perera, K.G.S. Kalansooriya, Priyadarshan Emmanuel, M.A.S.T Fernando and Mihirini Hewavitharane Factors of Knowledge and Attitude about Dengue Haemorrhagic Fever(DHF) that Affect the Behavior of DHF Prevention Using Geographic Information Systems (GIS) in Agriculturist in Taket Sub-District Uthumphon Phisai District Sisaket Province Klarnarong Wongpituk, Tammasak Saykaew, Sureewan Siladlao, Anuvat Roongpisuthipong, Warangkana Chankong and Pranee Sriboonrean Gender Roles in Preventing Malaria among The Indigenous People Siti Nur Afiqah Zahari and Abdul Rashid Retrospective Spatial Risk Assessment of Dengue Fever in Selected Province of Laos Sumaira Zafar, Oleg Shipin and Hans Overgaard 14:00 -15:30 Technical Session 2: Tropical Disease Chair Session: 1. Dr. Choosak Nithikathkul - Mahasarakham University Thailand 2. Dr. Phaisarn Jeefoo - University of Phayao, Thailand Surveillance Model for Soil-transmitted Helminthiasis in Mekong Basin: A Spatial Analysis Using Technology Information Yongyuth Puriboriboon and Choosak Nithikathkul Long Term Care for Helminthiasis in Seniors: Si Sa Ket Integration Models Sukhontip Norasan, Pacharamon Soncharoen and Choosak Nithikathkul Spatial Analysis and Intervention Program of Helminthiasis and Opisthorchiaisis in Sisaket Province: Review and Situation Thailand Pacharamon Sorncharoen and Choosak Nithikathkul Melioidosis in the Northeastern State of Malaysia: Spatial Analysis of Cases and Their Sequence Types Ahmad Filza Ismail, Siti Munirah Mohd Adib, Azian Harun and Aziah Ismail 15:30 - 16:00 Tea and Poster Session: Display of Poster 16:00 - 17:30 Key Note Session 2: 1)Chair- Prof. Nitin Kumar Tripathi - AIT, Thailand 2)Chair – Dr. Kamal Uddin – SIAM University, Thailand Dr. Cherdchai Nopmaneejumruslers - Mahidol University, Bangkok, Thailand g 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

“Innovation in Telemedicine” Prof. Hyo Choi – Gangneung Wonju National University, South Korea \"Statistical Prediction of Hourly Particulate Matter Concentrations (PM10, PM2.5 and PM1) and their Relationship with Meteorological Parameters at a Coastal City, Korea Before, During and After The Yellow Dust Period\" Dr. Amporn Benjaponpitak - Director-General, Department of Thai Traditional Medicine, Thailand “Applications of Digital Technology for Thai Traditional Medicine Development” 17:30 – 19:00 Technical Session 3: Big data Analytics in Health, Machine Learning and Artificial Intelligence Chair Session: 1. Prof T. Kishore Kumar - NIT Warangal, India “Plenary Speaker- AI and Machine Learning in Healthcare” 2. Dr. Muhammad Shahzad Sarfraz - FAST, Pakistan Comparative Analysis of Climatic Factors on Outbreak of Malaria Using Machine Learning Pallavi Mohapatra Survey of Health Information Perception on Smartphone for Health Promotion Among Elderly People Kantapong Prabsangob and Luckwirun Chotisiri Address Geocoding Tools for Disease Mapping Using Free and Open Online Services: An Exploratory Comparative Case Study in Malaysia Noramira Monir and Abdul Rauf Abdul Rasam Social Network Analysis for Leader Identification of Social Learning among Patients with Type 2 Diabetes Mellitus and Hypertension Napa Rachata The Development of Effective Khaokho District Agriculture Tourism Route Recommendation on Semantic Web by Integration Ontology and Analytic Hierarchy Process Nakarin Chaikaew, Linlalee Siriwilailerdanun, Luethaipat Pimonsree and Nakharet Chaikaew Real-Time Detection and Diagnosis of Skin Diseases using Deep Learning Techniques Amit Prasad Nayak and Mongkol Ekpanyapong Mobile GIS Application for Nearest Health Service in Karari Locality, Khartoum, Sudan Mohammed Mahmoud Ibrahim Musa, Eltayeb Ibrahim Ahmed Wadi and Ebtisam Ali Mohammed Safe Mapping Platform: A GIS Mobile Crowd Sensing Platform for COVID-19 Self- Tracking and Self-Risk Managing Sakda Homhuan, Chanida Suwanprasit, Chakkaphong Namwong, Wipawinee Khamnoi, Raweewan Boonma, Tippawan Mate and Nathalika Wanginkhom Effect of Movement Control Order (MCO) in Determining Predictors of New Malaysian COVID-19 Cases Based on Artificial Neural Network (ANN) Model using Publicly- Available Data M. A. Edre, Z. A. Muhammad Adil and A. R. Jamalludin h 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

17:30 – 19:00 Technical Session 4: Traditional Medicine Chair Session: 1. Dr. Alka Gupta - Alka Gupta Academy of Total Health, Thailand “Plenary Speaker- Geriatric Care Through Ayurveda, Yoga and Naturopathy\" 2. Dr. Chitrini Mozumder - Asian Institute of Technology, Thailand Anti-Malaria Traditional Herbs: Local Wisdom Suratsawadee Sinwat, Panee Sirisa-Ard and Choosak Nithikathkul Herbal using behaviours among Diabetes in Ban Chu Chi Health Promoting Hospital, Bang Chakreng subdistrict, Mueang Samut Songkhram, Samut Songkhram Province Tammasak Saykaew and Klarnarong Wongpituk Antioxidant Activity and Development of Skin Care Lotion Containing Hedychium Coronarium Essential Oil Rattana Panriansaen, Nustha Kitprathaung and Chopaka Chandham Effectiveness of the Self-Care Sandbag Exercise Program for the Osteoarthritis of Knee Patients in the Secondary Care of Thailand: A Quasi-Experimental Study Phannathat Tanthanapanyakorn, Aree Sanguanchue and Salila Cetthakrikul Antioxidant Activity, Total Phenolic Content and Cytotoxic Activity of Etlingera Pavieana Rhizome Extract Combined with Terminalia Catappa Leaves Extract Papawee Sookdee, Kingkan Iamnet, Supakaneewan Khanunthong and Rathapon Asasutjarit Time (Hrs) 26 February 2021 08:30 - 10:00 Event Key Note Session 3: Chair – Prof. Nitin Kumar Tripathi - Asian Institute of Technology, Thailand Chair – Dr. Wutjanun Muttitanon- Mahidol University, Thailand Prof. Mark Leipnik- Sam Houston State University, USA \"Pandemic of Paradoxes” Prof. Fazlay S. Faruque - Director of GIS&RS, University of Mississippi Medical Center, USA “Utilizing Geospatial Data and Tools to Estimate the Outdoor Abundance of Clinically Significant Mold Spores” 10:00 -10:30 Dr. Jackrit Suthakorn - Dean of Engineering, Mahidol University, Thailand 10:30 -12:00 “The Development of Telepresence Robot for Medical Application Based Full Study on Practical Scenario in Clinical Study” Tea and Poster Session: Display of Posters Key Note Session 4: Chair – Prof. Deepak Lal – SHUATS, India Chair – Asst. Prof Arlene Gonzales – MMSU Philippines Prof. Vinod Menon - Center for Disaster Management Yashada, India Prof. Kamarul Imran Musa - Epidemiology & Biostatistics, USM, Malaysia “Embracing Reproducibility and Replicability in Spatial Data Analysis” 12:00 – 13:00 Dr. Josef Strobl - University of Salzburg, Austria 13:00-14:30 “Geospatial Dashboards: Data Synthesis for Decision Support” Lunch Technical Session 5: Lifestyle and Diseases i 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Chair Session: 1. Dr. Wan Mohd Zahiruddin – USM, Malaysia 2. Dr. Haoran Zhang – SCGI, Thailand Spatial Patterns in Breast Cancer Incidence in Kelantan, North East of Malaysia Wan Mohammad Ismail Ad-Deen Wan Azman, Tengku Ahmad Damitri Al Astani Tengku Din, Ahmad Filza Ismail, Wan Faiziah Wan Abdul Rahman, Maya Mazuwin Yahya and Rosline Hassan Long Term Care: Mahasarakham Model Thailand Weerasak Aneksak, Sukhontip Norasan, Thammanoon Raveepong, Pramote Thongkrajai and Choosak Nithikathkul Alternative Trends Base on Integrated Medicine for Office Syndrome Pakawat Chaiyachit, Yingsak Jittakoat, Panich Chantachon and Choosak Nithikathkul Geospatial Distribution Patterns of Liver Cancer in Phayao Province, Thailand Phaisarn Jeefoo Understanding Lifestyle Risk Status of Tuberculosis in a Small Urban Community Using Geospatial- Epidemic Data Analysis Abdul Rauf Abdul Rasam and Nur Aimie Ridzuan Development and Application of Bal Ex Quick Balance Skeleton Tracking For Balance Rehabilitation Zuraida Zainun, Nur Intan Raihana Ruhaiyem, Ahmad Sufril Azlan Mohamed, Muhammad Umar Abd Aziz and Azliehanis Ab Hadi The Participation of Volunteers in Promoting Public Health, Elderly Health, Bang Khonthi District, Samutsongkhram Sureewan Siladlao, Tammasak Saikaew, Klarnarong Wongpituk, Wanwimon Mekwimon and Thanya Promsorn Analysis of Health Promotion Program using Dharma Way and Thai Way to Prevent Complications from Non-Communicable Diseases among Elderly Patients, (Chiang Rak Noi Sub-district, Bang Pa-in District, Phra Nakhon Si Ayutthaya Province) Aree Sanguanchue, Thassaporn Chusak, Phannathat Tanthanapanyakorn and Klarnarong Wongpituk 13:00-14:30 Technical Session 6: Infectious Disease Chair Session: 1. Dr. Chairat Utaipibull - NSTDA, Thailand 2. Dr. Sarmad Saeed Khan - Mahasarakham University, Thailand Leptospirosis in Si Sa Ket Province, Thailand; Trends and Control Thawatchai Toemjai, Supaporn Wannapinyosheep and Choosak Nithikathkul Discovery of Opisthorchiasis in Chaiyaphum Province, Thailand Prasit Kachaiyaphum, P. Chaleephom, Supaporn Wannapinyosheep, Bangon Changsap and Choosak Nithikathku Prevention and Control for Melioidosis in Si Sa Ket Province Phachara Kanjaras, Sauwanan Bumrerraj, Sutthisak Noradee and Choosak Nithikathkul Hand Foot and Mouth Disease: Prevalence and it's Spatial Relationship with Vaccine Refusal Cases in Terengganu, Malaysia Mohamad Zarudin Mat Said, Kamarul Imran Musa, Xin Wee Chen, Wira Alfatah Abdul Aziz and Azmani Wahab j 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

14:30-15:00 Incidence Rates and Geographical Distribution of Typhoid Cases in Kelantan, Malaysia 15:00-16:30 from 2012 to 2015. Wira Alfatah Ab Ayah Ab Aziz, Kamarul Imran Musa and Fauziah Mohd 15:00-16:30 Fish Borne Parasitic Zoonosis Surveillance in Northeastern Thailand Ei Ei Phyo Myint, Amornpun Sereemaspun, Anuwat Phalee and Choosak Nithikathkul Geospatial Analyses of Thyroid Cancer Incidence in Kelantan Population Nur Fatihah Mohd Zuhdi, Wan Faiziah Wan Abdul Rahman, Tengku Ahmad Damitri Al Astani Tengku Din, Ahmad Filza Ismail and Rosline Hassan Temporal and Spatial Comparison of Online Searches and Confirmed Cases of Listeriosis Outbreak: An Exploratory Study of Google Trends in the US Hung Nguyen Ngoc and Wantanee Kriengsinyos Tea and Poster Session: Display of Posters Technical Session 7: Environment and Health Chair Session: 1. Dr. Oleg Shipin - Asian Institute of Technology, Thailand 2. Dr. Indrajeet Pal - Asian Institute of Technology, Thailand Air Quality and Noise Impact Assessment of Dumpsite Biomining for Occupational Health & Safety of Workers Pawan Kumar Srikanth The Role of Remote Sensing and GIS for the Study of Environmental Aspects of Dengue and Chikungunya Epidemic Transmission in Dakshina Kannada District, Karnataka state, India Naveen Chandra Bellare, Usha Naveen, Francis Andrade and Shannon Meryl Pinto Tuberculosis Spread by Air pollution: A Case of Selected Districts of India Vijay Kumar and Tulika Tripathi Green 3R Biotechnology Based On Eco-Engineering: Starting Up a Novel Freshwater Mangrove Ecosystem for Urban Health Arlene Gonzales and Dr Oleg Shipin Technical Session 8: COVID-19 Chair Session: 1. Prof. Iyyanki V Murali Krishna, Chief Advisor, Smart Village Movement, India 2. Prof, Jianhua Gong - Chinese Academy of Sciences, China Analysis of COVID-19 Spreading in Wenzhou, China Wenning Li, Jieping Zhou, Jianhua Gong and Lihui Zhang, Nasir Farid and Adnan Arshad COVID-19 LockDown Affecting Mental Health; Review And Situation Ladda Pholputta, Mayuree Glubvong, Sucheera Amornmahaphun, Jariya Jiranukul, Pramote Thongkajai and Choosak Nithikathkul Visualization Analysis of COVID-19 to Respond to Infectious Disease Outbreaks Using Geoinformatics Techniques in Thailand: Opportunities and Challenges Haoran Zhang, Tanita Suepa, Lay Hong, Mot Ly and Phorn Nayelin Spatial Distribution and Time Series Analysis of COVID-19 Pandemic in Italy: A Geospatial Perspective Muhammad Farhan Ul Moazzam, Tamkeen Urooj Paracha, Ghani Rahman, Byung Gul k 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Lee, Nasir Farid and Adnan Arshad 15:00-16:30 Determine Heart Rate as a Screening Technique for Covid-19 Using Data Mining for University Student Admission Waidah Ismail, Rosline Hassan, Rabihah Md Sum, Anvar Narzullaev and Azuan Ahmad Candidate and Alternative Treatment for COVID-19 by using Thai Traditional Herbs Korakot Chaimongkhon, Choosak Nithikathkul and Pramote Thongkrajai Hospital Safety Index (HSI) for Covid-19 Pandemic Mitigation: A New GIS-Aided Framework Fahmi Charish Mustofa and Mufidatul Laily Impact of Behavior, Healthcare and Socioeconomic Factors on Covid-19 Situation of Asean Countries Htet Yamin Ko Ko and Nitin Kumar Tripathi Technical Session 9: Nutrition and Human Health Chair Session: 1. Prof. Nik Rosmawati Nik Husain – USM, Malaysia 2. Asst. Prof. Dr Arisara Charoenpanyanet- Changmai University, Thailand Predictive Models for Obesity in Non-Pregnant Women in Low- and Middle-Income Countries Xiyuan Gao, Lincoln R. Sheets and Henok G. Woldu Effects of Telemedicine in Obese Patients with Non-Alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis Surasak Saokaew, Chayanis Kositamongkol, Kanyanat Chaiyo, Thirada Jirapisut, Narakorn Aomsin, Pit Leewongsakorn, Nathorn Chaiyakunapruk and Pochamana Phisalprapa Statistical and Spatial Analysis of Obesity Prevalence in the United States of America Ranadheer Mandadi and Nitin Kumar Tripathi Factors Related to Food Consumption Behavior for Freshmen of the College of Allied Health Sciences, Suan Sunandha Rajabhat University Phannee Rojanabenjakun, Jatuporn Ounprasertsuk, Tipvarin Benjanirat, Supaphorn Oasana, Pongsak Jaroenngarmsamer, Sasipen Krutchangthong, Sunatcha Choawai and Jirawat Sudsawad Prevalence and Associated Factors of Insomnia among Thai Adolescents in Samut Songkhram Rasornradee Pakpakorn, Chanokporn Panjinda, Papawee Sukdee and Wannee Promdao Factors Associated to Dietary Supplement Consumption Behavior among Undergraduates Students in the Central Part of Thailand; A Cross-sectional Analytical Study Phannathat Tanthanapanyakorn Naphatsaruan Roekruangrit and Tassanapun Wechasat 16:30– 17:30 Closing Ceremony – Panel Discussion and Announcement of Award Mr. Randheer Reddy – Present conference Participation Details Dr. Choosak Nithikathkul - Conference Key Outcome Message Prof. Venkatesh Raghavan- Announcement of Award in Every Theme Prof. Roheet Bhatnagar - Announcement on 8th HealthGIS Conf. 2022, India Prof. Nitin Kumar Tripathi – Closing Remarks l 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Polio Eradication: How Technologies are helping us Travel the Last Mile ABSTRACT Mr. Derek Ehrhardt Polio eradication is a global priority, supported US Centers for Disease by the members of the Global Polio Eradication Control and Prevention Initiative (GPEI). The Centers for Disease Control and Prevention is a founding member of GPEI (CDC), USA and the technical lead. As of January 2021, E-mail: [email protected] only Afghanistan and Pakistan remain endemic with poliovirus. To travel the last mile to Biography eradication, novel approaches to identify gaps Mr. Derek Ehrhardt leads the in vaccination and reach children with vaccine Centers for Disease Control and must be explored. Evolving technologies are a Prevention’s (CDC) polio key part of the approaches being eradication efforts in the Middle developed. This presentation will review some East. Currently, he leads a of the technologies used by GPEI to reach every team, comprised of national last child with polio vaccine and end poliovirus and international staff, that is transmission in endemic and outbreak countries. responding to outbreaks of poliovirus in Somalia, Sudan, and Yemen and eradication efforts in Afghanistan and Pakistan – the only remaining countries with the endemic virus. Mr Ehrhardt has over 20 years of experience working in the Middle East and is a recognized expert on polio eradication having served as a staff epidemiologist and team lead for 12 years. He holds Masters Degrees in Public Health and Nursing from Johns Hopkins University and completed CDC’s Epidemic Intelligence Service Program in 2008. m 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Telehealth in 2020 and beyond ABSTRACT Prof. Ganapathy Krishnan In this Keynote address, the author will illustrate how a Director, Apollo Telemedicine strand of RNA has acted as a Global CTO and caused a radical transformation in the way health care is now being Networking Foundation delivered. The word “Telemedicine” is already being Director, Apollo TeleHealth Services replaced with the more appropriate term Telehealth. Technology-enabled Remote Health E-mail: Care is already becoming the new normal, worldwide [email protected] and is here to stay. The author will briefly review his personal journey during the last two decades when Biography Telemedicine was initially a “dirty” word. The persistent attempts at evangelisation started bearing fruit from 2015 Prof. Ganapathy Krishnan (Neurosurgery), with the commencement of mega PPP projects deploying FACS, FICS, FAMS PhD. is a Past President Telehealth. The CAGR then was about 20%. From March of the Telemedicine Society of India. 2020 physical distancing and national lockdowns left no former Secretary and Past President of the choice, but to adopt Telehealth. Distance became Neurological Society of India, former meaningless. Geography became History! Contactless Secretary of the Asian Australasian Medicine became the new norm. A radical exponential Society of Neurological Surgery, Past growth of 500 to 700% is now taking place. The author will President of the Indian Society of gaze into the crystal ball predicting that the point of Stereotactic & Functional Neurosurgery. health care will shift from mega hospitals to stand-alone Formerly Adjunct Professor, at the IIT diagnostic centres and doctors clinics. Phrases like “A Madras, & Anna University he is currently doctor in your pocket, a laboratory in your pocket Emeritus Professor at the Dr MGR. and the patient will see you now ” will be a reality. This Tamilnadu Medical University, Chennai. paradigm shift, supported by Insurance backed universal Dr. Ganapathy was formerly Honorary health coverage will eventually result in levelling the Consultant and Advisor in Neurosurgery playing field. Telehealth will not be a stand-alone distinct Armed Forces Medical Services. In 1990, discipline. It will be centre stage, in the core of every he became the first in South Asia to get a health care delivery system as a critical component of the PhD. in neuro-imaging. A former examiner more important DIGITAL HEALTH. The powers that be are & Inspector for the National Board of slowly recognising and accepting that telehealth alone Examinations Ministry of Health, Govt. of can bridge the ever-increasing urban-rural health divide. India he was also an overseas examiner The opportunity forced on us now needs to be exploited. to the Universiti Sains Malaysia and the Royal College of Surgeons Edinburgh. He KEYWORDS: Telehealth is a Member of the Editorial Board of 4 International and 3 National Journals in Neurosciences and was the first neurosurgeon from South Asia to be formally trained in Stereotactic radiosurgery in 1995 and later in robotic radiosurgery in 2008. He is a reviewer for ATA’s official journal and other telemedicine journals. A pioneer in introducing Telemedicine in India Dr. Ganapathy has been working relentlessly from 1999, for the growth and development of Telemedicine in India. He was a Member of the National Task Force on Telemedicine. He started the first formal Certificate course on Telehealth Technology, in conjunction with Anna University. He was a mentor for MBA scholars from Harvard Business School and for the Ross Business School University of Michigan, the Yale University and from several globally renowned Indian universities during the last 42 years he has presented more than 430 papers in national conferences and 170 in International meetings. n 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Geospatially-Enabled Deep Prof. Chi-Ren Shyu Analytics for Precision Rural University of Missouri Health – Case Studies on USA Telemedicine and Disaster E-mail: [email protected] Resilience Biography ABSTRACT Chi-Ren Shyu is the Director of The rapid global spread of COVID-19 has changed the way we handle pandemics and health disparities. It Institute for Data Science and prompts academia, private industry, and government to utilize new technologies and approaches to tackle the Informatics and Professor of outbreak to minimize the impact on human lives. While attention is mainly on outbreaks in urban areas, efforts to Electrical Engineering & assist rural populations seem disparate. The rural demographic is roughly 19.3% of the US population and Computer Science and School lives in 97% of the US land area. They are especially vulnerable to disease outbreaks due to socio-economic of Medicine at the University of disadvantages and barriers to necessary resources. In this talk, I will present (1) our geospatial Big Data ecosystem Missouri – Columbia (MU). He (GeoARK) to provide multi-resolution geo-located intelligence focused on factors relevant to health risk served multiple leadership roles analyses, (2) deep analytics methods to tailor rural geospatial subgroups for decision making, and (3) for organizing IEEE HealthCom, disparity studies for catchments of telemedicine services. I will also briefly present our future geospatial informatics IEEE BIBM, and IEEE BIBE research directions in rural one health issues in zoonotic disease and environmental health matters. International Conferences, and The research projects are partially supported by the Advisory Board member for National Science Foundation IIS- 2027891 and the University of Missouri Research and Creative Works remote sensing imaging Strategic Investment Program. information mining projects funded by European Space Agency. His research contributions are in the area of geospatial informatics, biomedical informatics, and explainable AI. Dr. Shyu is a recipient of the US NSF CAREER Award, MU Faculty Entrepreneurship Award, and University of Missouri Presidential Leadership Award. He is a fellow of the American Medical Informatics Association. o 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Smart Healthcare: AI- powered EHR Solutions for Clinical Decisions ABSTRACT Mr. Frank Cosley ANZER IT Healthcare was founded 40 years ago in Anzer IT Healthcare Asia Ontario Canada and provides world-class EHR/EMR software to the hospitals and clinics throughout Myanmar Canada and SEA. Anzer EHR is an all-in-one, fully- E-mail: [email protected] integrated seamless solution that provides all the necessary modules required by both hospitals and Biography clinics. Anzer works closely with its Healthcare partners to improve their systems, thus enabling Francis Dominic Cosley is a Healthcare teams to provide the highest levels of patient care and safety, whilst optimizing hospital computer professional with over processes. 40 years of experience In addition to its comprehensive suite of Healthcare modules Anzer is now focusing on developing and implementing developing the most advanced and powerful Artificial Intelligence (AI) powered EHR/EMR healthcare software for HIS solutions. Anzer believes that AI is the future of Healthcare and that AI will dramatically increase systems to EMR and EHR systems patient safety as well as maximizing the efficiency and effectiveness of Healthcare teams and with a background in AI-based clinicians. Using clinical intelligence, and AI algorithms, clinical decision making and overall EHR System for multiple hospitals patient care will be dramatically improved. and clinics. Frank has experience in understand and supporting all requirements for the clinical decision process for healthcare. He has been working with Anzer since 1984 directing a healthcare team to develop a hospital EMR/EHR. Under his direction Anzer has done its best to always be the cutting-edge of technology by promoting software efficiency and increasing patient quality and safety. Francis has a strong computer technical background and 40 years in the healthcare field working with doctors, nurses and healthcare workers. p 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Statistical Prediction of Hourly Particulate Matter Concentrations (PM10, PM2.5 and PM1) and their Relationship with Meteorological Parameters at a Coastal City, Korea Before, During and After The Yellow Dust Period ABSTRACT Dr. Hyo Choi Multi-linear regression model for prediction of hourly Gangneung-Wonju National particulate matter concentrations of PM10, PM2,5 and PM1 at Gangneung of Korea Before, during and University, South Korea after the Yellow Dust period influenced by large E-mail: [email protected] amounts of dust particles transported from Gobi Desert from March 18, 2015, to March 27. Correlation Biography coefficient between PM10 and PM2.5 (PM2.5 and PM1; PM1 and PM10) was 0.913 ( 0.989, 0.854) before Dr. Hyo Choi is a the dust period (00LST, March 18 to 00LST, March 21), but coefficient between PM10 and PM2.5 (PM2.5 meteorologist, environmental and PM1; PM1 and PM10) was 0714 ( 0.996, 0.677) during its period (01LST, March 21 to 00LST, March scientist and physical 23), similarly to coefficient between PM10 and PM2.5 (PM2.5 and PM1; PM1 and PM10) was 0.732 ( 0.996, oceanographer with over 40 0.703) after its period (01LST March 23 to 00LST Match 27), respectively. The improved prediction models on years of experiences in the hourly variation of particulate matters were given by multi-linear regression formula of PM10, numerical modelling PM2.5 and PM1 with their relationship with both meteorological elements (air temperature, wind researches as an Overseas speed and relative humidity) of Gangneung city, PM10 and PM2.5 concentrations at Wonju city of invited senior researcher (by neighbouring and industrial upwind side in the 120km distance, and PM10 and PM2.5 concentrations at Korean Government) of Beijing city (China) near Gobi Desert on the dust transportation route. The resultant correlation Korea Ocean Research & coefficients among PM10, PM2.5 and PM1 at Gangneung city were very good in the range of Development Institute \\0.935 to 1.00. COMS satellite images and HYSPLIT backward trajectory model of air were also used for (KORDI; now KIOST), Korea further analysis of dust transportation to Korea. Advanced Institute of KEYWORDS: Particulate Matter Concentrations, Meteorological Elements, Multi-Linear Regression Science & Technology (KAIST), Ministry of Science & Technology, a high level- Researcher (nominated by President of Korean Government) of National Fisheries & Research Development Institute (NFRDI), Ministry of Maritime Affairs & Fisheries, and Full Professor (nominated by President of Korean Government) of Gangneung-Wonju National University, Korea. q 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Applications of Digital Technology for Thai Traditional Medicine Development ABSTRACT Dr. Amporn Benjaponpitak In this Keynote Address, the author will illustrate how Director-General Thailand by the Department of Thai Traditional Medicine (DTAM) - the National Authority of Traditional and Department of Thai Complementary Medicine (T&CM) - uses digital Traditional & Alternative technology to develop Thai traditional and alternative medicine services and to increase the health literacy of Medicine Thai people on the use of Thai traditional medicine and Ministry of Public Health, herbal medicines for the primary health care. According to Thailand’s government’s views, Thai traditional Thailand medicines and Thai herbal products are important for Thai E-mail: people’s well-being and the country’s economy. Hence, it was stated in the Constitution of the Kingdom of [email protected] Thailand B.E.2560, the government’s policy as well as Thailand's 20-Year National Strategy – under Biography Competitiveness Enhancement strategy and Developing and Strengthening Human Capital strategy – and in Dr. Amporn Benjaponpitak Thailand's 20-Year Master Plan. Furthermore, in accordance with the Ministry of Public Health’s policy, earned a Doctor of Medicine Thai traditional medicine and herbal products are directly related to two priorities, Health Economics and Herb, Degree (first-class honour) Cannabis or Ganja, and Hemp. Therefore, in order to support the government and ministerial policies, DTAM and a Diploma of the Thai developed various mobile applications for different purposes. The presentation in the forum will focus on four Board of Psychiatry from the applications that implemented GIS and AI technology to facilitate Thai traditional and alternative medicine services Faculty of Medicine and promote the use of Thai traditional medicine and herbal products for primary health care; namely, Dr. Ramathibodi Hospital, Ganja in Thai Traditional Medicine (TTM), Nuad Thai, Samunprai First, and Herb ID. Mahidol University in KEYWORDS: Traditional Medicine, Thai Traditional Thailand. She also received Medicine, Digital Technology, Mobile Application international certificates in Alcohol and Addiction Study, and Family Therapy, respectively. Furthermore, she has completed training in several programs organized by domestic and international agencies. Dr. Amporn served as Deputy Director-General of the Department of Mental Health and worked as an Inspector- General of the Ministry of Public Health in 2018 and 2019, respectively. Currently, she serves as the Director- General of the Department of Thai Traditional and Alternative Medicine, Ministry of Public Health since 1 October 2020. r 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Pandemic of Paradoxes ABSTRACT Dr. Mark Leipnik The COVID pandemic is an unprecedented global Sam Houston State University calamity and in its direct effects are staggering. However, its indirect effects have greater ramifications some of USA which are paradoxical. Most of the indirect impacts are E-mail: [email protected] due to attempts to slow the spread of the pandemic. Some impacts are wholly bad and many are paradoxical Biography or have counter-intuitive outcomes, others are complex and may require a longer time and more research to Dr. Mark R. Leipnik, Born, untangle. This presentation will examine numerous unexpected health ramifications of COVID; including the February 14, 1962 in non-appearance of influenza epidemics, also changes in exercise and preventive health care due to pandemic Gainesville, Florida, Son of Dr. precautions. Other indirect health-related impacts include the impact on mental health, suicide, alcohol Roy Leipnik a professor of consumption and childbearing. Beyond health, impacts on air quality, traffic safety, work-life balance, living Applied Mathematics. arrangements and even crime patterns can be observed. A case can be made that these indirect effects of COVID Educated at the University of may be greater and more long-lasting than the direct health impacts of the virus itself. California at Santa Barbara and Rice University. PhD in Geography in 1995 from U.C. Santa Barbara. Author of over 100 papers and numerous invited presentations including several keynote addresses. Currently Professor in the Department of Environmental and Geosciences at Sam Houston State University in Texas. s 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Utilizing Geospatial Data and Tools to Estimate the Outdoor Abundance of Clinically Significant Mold Spores ABSTRACT Prof. Dr. Fazlay S. Faruque Although most of the mold spores in the environment are not University of Mississippi harmful to our health, there are a few, often termed as Harmful Medical Center Airborne Fungal Spores (HAFS), which are responsible for a wide USA range of health problems. Exposure to HAFS can trigger allergic reactions, including hypersensitivity pneumonitis, allergic rhinitis, E-mail: [email protected] cardiovascular and chronic obstructive pulmonary diseases, and asthma. People vulnerable to these mold spore exposure can Biography benefit from information on increased spore levels in their localities, and the healthcare professionals can use this Dr. Fazlay Faruque is a Professor of information to develop strategies for their patients in preventing Preventive Medicine at the University some adverse outcomes. However, information on the outdoor of Mississippi Medical Center abundance of spores is not available on a local scale due to a (UMMC). He joined UMMC in 2000 as scarcity of expensive monitoring facilities. As the environment the Director of the GIS and Remote directly influences the growth and dispersion of spores, Sensing program with a faculty researchers attempted to estimate mold spore abundance appointment as an Assistant using environmental variables but with very limited success due Professor. Before joining UMMC, he to the non-linearity between the abundance of mold spores and worked six years for a consulting firm their controlling environmental variables. We targeted selected managing their GIS division. Dr. HAFS, widely accepted as clinically significant mold, to estimate Faruque has been teaching and their spatiotemporal distribution for a study area in Mississippi, conducting research in the areas of USA. For estimating the spatiotemporal abundance of these geospatial science and technology selected mold spores, we utilized ground monitored for more than 30 years with a focus meteorological data, NOAA/NASA meteorological and ground on environmental health. He condition data, dispersion model, and also actual mold spore received funding from external counts for validation purpose. For this study, the outdoor spores sources including NIH and NASA. He collected for validation include Deuteromycetes Alternaria, is currently serving as the chair of the Cladosporium, Aspergillus, Penicillium and Fusarium. For ISPRS Working Group on Environment developing daily mold spore abundance models, we explored and Health. different methods both linear and nonlinear, such as linear regression, multiple regression, logistic regression, and machine learning. In our preliminary study, we found machine learning to be the most promising (RT values of 0.94, 0.96, and 0.97 respectively for Stereum, Cladosporium and Aspergillus/Penicillium; and 0.84 for total spores). t 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

The Development of Dr. Jackrit Suthakorn Dean, Faculty of Engineering Telepresence Robot for Medical Mahidol University Application Based Full Study on Nakorn Pathom, Thailand Practical Scenario in Clinical E-mail: [email protected] Study Biography ABSTRACT The upsurge in the elderly population augmented by an Jackrit Suthakorn received his inadequacy in medical personnel has been consequential for the advancement in the field of PhD in Robotics from The Johns medical robotics. Despite their unequivocal relevance, one principle challenge is the existence of intrinsic safety Hopkins University, Maryland, the concerns quintessential to such autonomous human-robot interactive systems. These concerns can be addressed USA in 2003, Master Degree from effectively through the implementation of standardization, ensuring reliability, safety, and minimizing the risks. As such, Michigan Technological this work ponders on the development of personal care robots, especially the mechanical aspect of the robot, University in 1998, and Bachelor’s prioritizing the relevant standards. This system, termed as a \"Telepresence System\", integrates a vital signs Degree from Mahidol University, measurement unit along with a telecommunication system, facilitates interaction based on vital signs and Thailand in 1995. He has physical accessibility between the physicians at the station, and the nurses in the remote area. The system is established the Center for predominantly suitable for diagnosis through telemedicine and following up on the cases. Especially during the Biomedical and Robotics pandemic as that of COVID-19 which demands social distancing and isolation, the system can ensure Technology (BART LAB), and uninterrupted medical services and communication. Regarding the system overview, it consists of a locomotion Thailand’s First Department of system, control system, mapping, and navigation system, based entirely on the guidelines and relevant global Biomedical Engineering at standards. The system was validated through the testing methods, which ensured the capability and reliability of Mahidol University in 2004 and the system and also passed the safety criteria. The system was even deployed in a real hospital environment (Tai-sai 2006, respectively. He is currently Public Hospital), where the medical personnel was requested to conduct remote diagnosis using wireless the Dean of Faculty of communication from the station based in a metropolis hospital. The assessment demonstrated positive outcomes Engineering at Mahidol among the patients and the physicians, particularly due to the significant reduction in transportation time. University, and also the President of Thailand’s Engineering Deans Association. His research interest is aiming for Medical Robotics; Surgical Robotics, Rehabilitation Robotics, and Tele-Medicine Robotics. He was one of the founders of the Thai Robotics Society (TRS) in 2004, and the President of the Thai Robotics Society in 2007 to 2010. Currently, he serves as a Trustee of the Int’l RoboCup Federation. u 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Embracing Reproducibility and Replicability in Spatial Data Analysis ABSTRACT Dr. Kamarul Imran Musa Reproducibility and replicability are receiving attention in many School of Medical Sciences, fields because they enable researchers to independently verify results from data and research. Reproducibility means the ability Universiti Sains Malaysia to duplicate results and replicability means the same but applies Malaysia to new data. Geography and spatial data rely on observational data that are limited by uncontrolled settings, hence E-mail: [email protected] reproducing and replicating results in both areas are necessary but they require careful considerations. There has been a turn in Biography academia from ‘black boxes’ analysis towards coding as a tool, Kamarul Imran Musa is an motivated partly by the impact of big data. Reproducible and associate professor at the replicable research allows researchers to create inferences that School of Medical Sciences, are more robust to changes in data. To ensure reproducibility Universiti Sains Malaysia, and replicability are effective in geography and spatial data Malaysia. He obtained a analysis, necessary steps include, at least, making data and medical degree and later, a codes available for sharing. Established and robust software Master of Community Medicine such as Python and R with GIS functionality is available for and PhD degrees, both in researchers to help them with reproducible data analysis. The R Epidemiology and Statistics. He software provides researchers with tools such as R markdown to is the Fellow of the American facilitate reproducibility. The CRAN website which houses more College of Epidemiology (FACE) than 16000 packages provides more than 100 packages that and the coordinator of the can perform spatial data analysis. The challenges for Doctor of Public Health reproducibility include the complicated analysis of big data, the programme at the Universiti ecology fallacy, the drive to analyse the entire population, and Sains Malaysia. His research the resistance to open tools, statistical libraries, and codes. interests include modelling of diseases and risk factors. KEYWORDS: Reproducibility, replicability, spatial data analysis, Currently, he is the principal CRAN investigator for three research projects including a Newton- Ungku Omar Fund with the London School of Hygiene and Tropical Medicine. v 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Geospatial Dashboards: Data Synthesis for Decision Support ABSTRACT Dr. Josef Strobl Dashboards until a year ago were mostly familiar to a technical Department of Geoinformatics - Z_GIS audience engaged with supervising and managing complex processes, e.g. in industrial facilities, transportation or events. By monitoring multiple University of Salzburg, Austria states, indicators and trends, processes can be managed efficiently and E-mail: [email protected] safely by timely interventions through control variables. These ‘operations dashboards’ were focused on the control of well-understood processes Biography and workflows. Starting with an individual initiative, numerous Covid-19 dashboards continued popping up one year ago, multiplying in a variety Prof. Josef Strobl is a Professor at the of instantiations across the globe following pandemic developments. Unfortunately, neither the underlying processes were perfectly University of Salzburg, leading its understood, nor did we have clearly defined and effective intervention mechanisms to maintain control over what was happening. Department of Geoinformatics. He holds Obviously, the success of pandemic dashboards is based on a degrees in Geography from Vienna specific set of characteristics, converging in supporting the ‘big picture’ view of a dynamic phenomenon not fully under control. This idea University and has been teaching borrowed from the ‘Common Operational Picture’ (COP) concept provides situational awareness in a conflict or emergency environment. GIScience and related subjects at Trying to understand what is happening by fusing together all kinds of relevant streams of information is considered the foundation for solid universities worldwide. He is a full member of decision making in multi-faceted, non-trivial contexts. Infection and spatial spreading of a contagious phenomenon is an inherently spatial the Austrian Academy of Sciences and process. Contact and proximity play a key role just as travel patterns, and ultimately the logistics connecting supply and demand of any assets head of its Commission for Geographic involved in countermeasures. While Geographers always were involved in understanding and managing the ‘Spatial Organization’ of our world, Information Science. As a founding director used to apply spatial thinking to explain novel observations, many others were not trained in intuitively understanding complex spatial dynamics. of the iSPACE Research Studio and the This is where dashboards suddenly turned into ‘Geomedia ÖAW Department for GIScience, he has interfaces’, sought after by the general public keen to comprehend what was and still, is going on: bringing together live information streams established academic research beyond with explicit spatial and temporal dimensions, offering synthetic views on status indicators, KPIs, trend lines and spatial dynamics into one university environments. Serving as a board integrated view. More importantly, modern dashboards are designed for interaction, reaching far beyond simple presentation interfaces. Users member for international academic can fully interact with the elements communicating the what, when and where of current developments, drilling deeper into detail, slicing, organizations in the geospatial domain and filtering and highlighting segments of specific interest. As these dashboard widgets are interconnected, each selection in one on the editorial boards of leading journals in dimension reflects on the presentation of others. Essentially, exploring these connected domains and dimensions ultimately helps with Geoinformatics and GIScience, he is explaining the dynamics of a yet to be fully understood process. The resulting situational awareness hopefully will serve as a foundation for promoting and spearheading various regaining control, perhaps returning to the original objective of dashboards. In any case, dashboards are expected to retain their educational, organizational and research newfound prominence as synthesizing interfaces for better understanding and management of complex geospatial dynamics. initiatives. Josef Strobl works with researchers focusing on geospatial modelling and simulation, spatial analysis and distributed architectures for Spatial Knowledge Infrastructures. Current interests aim at real- time and mobile services, terrain analysis and dynamic process modelling, facilitating applications in planning, citizen science and public participation as well as resource management. Prof. Strobl has been instrumental in developing and implementing the worldwide UNIGIS postgraduate distance learning programme, and is working with a global network of partner institutions towards education, curriculum development, basic and applied research in Geographic Information Science. Geographic and Geospatial education on multiple levels and within various communities is at the top of his agenda, reaching from initiating major GIS Day events to the establishment of the iDEAS:lab outreach facility at the Science City Salzburg, and fostering excellence through the design of international graduate programmes. Having founded the annual AGIT and GI_Forum symposia in Salzburg decades ago, communicating the progress, practice and perspectives of geospatial technologies and methods is at the core of Josef Strobl’s agenda. He looks forward to meeting alumni, project partners, friends and colleagues at these and other opportunities to re-connect! w 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Geriatric Care through Ayurveda, Yoga and Naturopathy ABSTRACT Dr. Alka Gupta Alka Gupta Academy of A healthy and successful ageing is what everyone desires. The World population of the elderly is increasing significantly and by the year 2050, Total Health, Thailand adults older than 65 years will comprise 1/5th of the global population. E-mail: Ayurveda has got the potential for prevention of diseases by health promotion and management of diseases occurring in old age problems [email protected] through Single Rasayan and Classical Formulations in chronic health Diseases. Ageing is a multidimensional process of physical, physiological Biography and psychological degenerative change. As age advances, many changes take place in the body - external appearance, condition of Dr. Alka Gupta, is based in Dosha, Dhatu, Mala, Agni, Oja, etc. in mental and cognitive functions. Ayurveda has a focused branch of medicine called Rasayana Thailand and having 20 years of (Rejuvenation) which exclusively deals with the problems related to ageing and methods to overcome the problems. Geriatrics or experience in Indian Traditional Jarachikitsa or Rasayana in Ayurveda is a unique therapeutic methodology to control/slow down the ageing process in the human Medicine Systems. She specializes being during the degenerative phase in one’s life. The drugs which are similar to the body parts their structure, properties, actions are used as in Therapeutic Ashtang medicinal drug or diet. These drugs are recommended as per the psycho-somatic constitution of human being, season /time and as per Yoga. Driven by her strong sense different diseases. Rasayana becomes more fruitful and effective if it is preceded with suitable Panchakarma (purificatory therapy) The major of conviction to heal the world preventive approaches for maintaining and improving the quality of the life include Daily regimen (Dincharya), Seasonal Regimen (Ritucharya), with Indian Traditional Behavioral and ethical considerations (Sadvritt). One should take anti-ageing, antioxidants, immuno-enhancer Therapies,(Ayurveda, Yoga, (Rasayana) medicines right from early or middle age and in old age to promote health, prevent disease and to bring strength /immunity in Naturopathy, Panchkarma, debilitated conditions. Ayurveda, the Indian traditional holistic health science has a broad spectrum of preventive measures for combating Ayurvedic Diet, Acupressure and the ageing process. Yogic practices as an alternative medicine approach within geriatric and rehabilitation programmes can cope with other nature-based Therapies). Neurological Disorders like stress, depression, Alzheimer, Parkinson, fatigue, pain etc. Ayurveda advocates that in each decade of the she has cured thousands of ageing process one physiological factor declines and in order to prevent diseases, promote health and to delay the ageing one should adopt Bio Patients with her Unique, purificatory (Panchkarma) procedures and apart from regulated diet, activities /conduct should take anti-ageing, antioxidants, immuno- personalized, Integrative enhancer (Rasayana) medicines right from early or middle age. These are also helpful during old age to promote health, prevent disease and treatment Cause to Cure to bring strength /immunity in debilitated conditions. Conventional system of medicine has nothing much to offer in the core area of Methodology. She is Founder - geriatric care except the medical management of the diseases of old age. Ayurveda, the Indian traditional holistic health science has broad Director of AGATH Health Care spectrum of preventive measures for combating the ageing process. (Alka Gupta Academy of Total Health). She holds many International Honorary Posts. She is an Expert with the World Health Organization (WHO), Country Coordinator for the International Naturopathy organization, Thailand. Global Advisor and Health Panelist in National news Channel \"Hindi Khabar\". columnist for many International Health Magazine and Newspaper. Faculty in Cultural Relations and Overseas Head for South Asian Countries with Ikshwakpuri Research Foundation (I.R.F.), Director for Bangkok International VEGAN Alliance. x 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

AI and Machine Learning in Healthcare ABSTRACT Prof. T. Kishore Kumar Machine learning, simply put, is a type of artificial Department of Electronics & intelligence where computers are programmed to learn Communication Engineering information without human intervention. Actually, it means National Institute of Technology, providing machines - the ability to learn. This is done by Warangal - 506004, Telangana, designing algorithms that rely on computational statistics. Machine learning is used in lots of application domain like INDIA healthcare, banking, education, automobile, surveillance, E-mail:[email protected],kishor- Social Media etc. [email protected] Especially in healthcare, it achieved great heights from diagnosis diseases to assisting in healthcare management Biography systems. For example, using 3-D radiology images, tumours Dr. T. Kishore Kumar is the are detected which enables the operating department in Professor at Dept. of ECE, NIT precise surgery planning, navigation, and efficient Warangal. He was former Head tumour-contouring for radiotherapy treatments. In the (ECE CC), NIT Warangal and recent COVID Pandemic situation, ML was used to predict Visiting Professor at AIT, Bangkok. and understand the protein structures of the virus which He was awarded RESEARCH largely helped in developing the COVID-vaccines. Also, EXCELLENCE AWARD-2017 by ML can be used for providing management systems so IEAE and BEST ENGINEERING that doctors appointments and treatments can be RESEARCHER AWARD–2017 by managed efficiently in crowded situations. For example, NIT Warangal and NITW Alumni providing COVID vaccines to a lot of people can be Association. He has completed done using ML. projects worth 1.18 crores under Govt. of India. He has guided 10 In mental healthcare emotional analysis of humans PhD scholars. He has published can be done using emotion recognition systems. This can more than 50 international be very helpful for diagnosing whether the patient is going journals and conferences for the through depression or deep trauma or any other mental last five years. He is a member of illness. IEEE. His research instrests are Machine Learning, Signal Processing and Embedded System y 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 1 2 3 Geographical Information of Malaria Infections in Balochistan Province of 4 Pakistan; A Trend Analysis of Malaria 5 Sarmad Saeed Khan, Chairat Uthaipibull, Ghani Baloch and Choosak 6 Nithikathkul 6 7 Mapping and Intervention of Malaria situation in Sisaket Province Sutthisak Noradee, Chairat Uthaipibull and Choosak Nithikathkul 8 Trend and Spatial Analysis of Dengue Cases in Northeast Malaysia 9 Afiqah Syamimi Masrani, Nik Rosmawati Nik Husain, Kamarul Imran Musa and 9 Ahmad Syaarani Yasin Spatial Density of Aedes Distribution in Urban Areas: A Case Study of Breteau Index in Melaka, Malaysia Mohd Hazrin Hashim, Farihan Yatim, Mohd Amierul Fikri Mahmud, Faizul Akmal Bin Abdul Rahim and Mohd Hatta bin Abdul Mutalip Spatio-Temporal Pattern Analysis of Typhoid and Diarrhea Cases and Associated Factors in Drought Districts of Andhra Pradesh, India 2013-2017 S V S Aditya Bharadwaz Ganni, Indrajit Pal and Nitin Tripathi Exploring Geo-spatial Analysis to Map Malaria Endemicity and Applied Interventions in a Rural District of Chhattisgarh, India Hitakshi Sharma and Sunil Vilasrao Gitte Spatial Mapping and Temporal Correlation Analysis between Mosquito-Borne Diseases and Meteorological Factors in Mannar, Sri Lanka K.K.S.A. Withanage, N.K. Tripathi, Chitrini Mozumder, R.D.J. Harishchandra, Prasad Ranaweera, A.Y.K. Perera, K.G.S. Kalansooriya, Priyadarshan Emmanuel, M.A.S.T Fernando and Mihirini Hewavitharane Factors of Knowledge and Attitude about Dengue Haemorrhagic Fever(DHF) that Affect the Behavior of DHF Prevention Using Geographic Information Systems (GIS) in Agriculturist in Taket Sub-District Uthumphon Phisai District Sisaket Province Klarnarong Wongpituk, Tammasak Saykaew, Sureewan Siladlao, Anuvat Roongpisuthipong, Warangkana Chankong and Pranee Sriboonrean Gender Roles in Preventing Malaria among The Indigenous People Siti Nur Afiqah Zahari and Abdul Rashid Retrospective Spatial Risk Assessment of Dengue Fever in Selected Province of Laos Sumaira Zafar, Oleg Shipin and Hans Overgaard 1 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Geographical Information of Malaria Infections in Balochistan Province of Pakistan; A Trend Analysis of Malaria Sarmad Saeed Khan,1 Chairat Uthaipibull,2 Ghani Baloch3 and Choosak Nithikathkul11 1Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected] 2BIOTEC’s Protein-Ligand Engineering and Molecular Biology Laboratory, NSTDA, Thailand 3Malaria Control Program Quetta, Balochistan, Pakistan ABSTRACT Pakistan bears a high burden of malaria cases despite tremendous achievements in both the malaria case management and prevention activities over the period of time. The purpose of this study was to conduct a trend analysis of Plasmodium species prevalence, incidence of malaria cases and geographic distribution of malaria species in Balochistan. The aggregated, annual malaria data of seven years (2013 to 2019) were obtained for the 30 districts of Balochistan province of Pakistan from the provincial Directorate of Malaria Control Program Quetta through formal request. All these summery sheets of the last seven years were compiled in MS Excel 2013 sheet and imported in SPSS version 23 for analysis. Population data for the districts were extrapolated at a growth rate of 2.3% annually from the census of 1998 for the years 2013 to 2017 and annual growth rate of 3.37% from census 2017 for year 2018 and 2019. The cumulative mean test positivity rate was 10.76 in province. This varied from high endemic districts being 25.8 to 2.1 for the low endemic districts. The test positivity rate was consistent over the period of all seven years. Plasmodium falciparum and Plasmodium vivax were the most prevalent species. The mean falciparum rate was 29.56 over the year of seven years, with an increasing trend from 28.23 in 2013 to 42 in 2019. This trend was seen for most of the districts which had very high falciparum rate in 2018 and 2019 and this trend is consistently high (>50) for some of the districts. Similarly, annual parasite incidence rate had a slight increasing trend through the years, being highest (API=9) in 2019. The findings from this analysis showed high burden of disease and trend showed that disease burden is far high from national targets set for the year 2020. High burden of the most dangerous species falciparum and its increasing trend is alarming and reflects serious threat which needs strengthening the preventive strategies. KEYWORDS: Malaria, Burden, Balochistan 2 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Mapping and Intervention of Malaria situation in Sisaket Province Sutthisak Noradee,1 Chairat Uthaipibull2 and Choosak Nithikathkul1 1Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected] 2National Center of Genetic Engineering and Biotechnology, NSTDA, Thailand ABSTRACT Malaria is a major public health problem in the tropics. In Thailand especially the border between Thailand Myanmar, and Cambodia province is highly endemic for malaria. Knowing this, the local Health Department has placed a program to educate the local residents about health risk factors that people in this area are facing, in particular the dangers and symptoms of a malaria infection. This study was performed to evaluate these efforts by determining the number of malaria infections in a segment of the population. The majority are Lao speaking people. The total population was 1.473 million people. The malaria report already showed 444.16, 318.41, 153.89 per one hundred thousand cases in Khuhan, Phu Sing, Kanchanalak and Khu Kan districs respectively, compared to infection rates in similar studies, the results of this study indicate overall that the Health Department's efforts are meeting with relative success. The low percentage of infected individuals shows that the villagers are using the information that they have received to help combat infection. With this study, we hope to provide valuable information to the residents and local Health Department in Si Sa Ket Province in order to develop further prevention programs for both diseases. However, all human malaria is transmitted by Anopheles mosquito, and in the absence of immunologic interactions, this would lead to them occurring together more often than expected by chance. Since we did not directly investigate the movement of villagers in the area, we cannot rule out the possibility that they acquired infections outside the village, such as from the forest area. The geographic information (latitude and longitude) associated with the infection rate among susceptible species of malaria was recorded and used to build a geographical information system. A number of environmental parameters such as mean yearly temperature, rainfall level, and population density were imported to the system as well. The developed GIS can be useful in the establishing of a prevention strategy for transmission of malaria infection from Si Sa Ket province. KEYWORDS: Malaria, GIS, Population, Endemic Area 3 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Trend and Spatial Analysis of Dengue Cases in Northeast Malaysia Afiqah Syamimi Masrani,1 Nik Rosmawati Nik Husain,1 Kamarul Imran Musa1 and Ahmad Syaarani Yasin2 1Universiti Sains Malaysia, Malaysia, E-mail: [email protected], [email protected], [email protected] 2Kelantan State Health Department, Malaysia, E-mail: [email protected] ABSTRACT Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With the dynamic changes in land use, urbanization and population movement, periodic updates on the pattern of dengue transmission is crucial to ensure implementation of effective control strategies. We sought to assess the shift in the trend and spatial distribution of dengue in Kelantan, the north-eastern state of Malaysia (5°15′N 102°0′E). This study incorporated data from the national dengue monitoring system (eDengue system). Confirmed dengue cases that were registered in Kelantan with disease onset between 1st January 2016 to 31st December 2018 were included in the study. The yearly changes in dengue incidence was mapped by using ArcGIS. Hotspot analysis was also performed using Getis-Ord Gi to track changes in the trend of dengue spatial clustering. A total of 10,645 dengue cases were recorded in Kelantan between 2016 to 2018 with an average of ten dengue cases reported daily (11.02 SD). Areas with persistently high dengue incidence were seen mainly at the coastal region for the three years. However, the trend of hotspot has shifted between the years with gradual dispersion of hotspots to their adjacent districts. A notable shift in the spatial distribution of dengue was observed. We were able to glimpse the shift of dengue from an urban to peri-urban disease with the possible effect of a state- wide population movement that affects the transmission of dengue. KEYWORDS: Dengue, Spatial Distribution, Hotspot Analysis 4 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatial Density of Aedes Distribution in Urban Areas: A Case Study of Breteau Index in Melaka, Malaysia Mohd Hazrin Hashim,1 Farihan Yatim,2 Mohd Amierul Fikri Mahmud,3 Faizul Akmal Bin Abdul Rahim3 and Mohd Hatta bin Abdul Mutalip3 1Survey Research Center, Institute for Public Health, Malaysia, E-mail: [email protected] 2Disesase Control Division, Ministry of Health, Malaysia, E-mail: [email protected] 3Centre for Communicable Disease Research, Institute for Public Health, Malaysia E-mail: [email protected] ABSTRACT This study aims to establish the spatial density of mosquito population or breteau index (BI) in the areas of Melaka using geographic information system (GIS) and spatial statistical tools. The present study performed distribution and spatial pattern analysis of dengue cases reported in the growing Melaka district in Malaysia in 2017 and 2018. Data related to dengue cases were gathered from the Disease Control Division, Ministry of Health Malaysia. Geospatial analysis was applied to further study the spatio-temporal patterns of dengue cases in data set, including hot spot/cold spot analysis and geographically weighted regression models. This study found that the distribution pattern for dengue cases is clustered. Spatial mean center and directional distribution for both sets of years have slight differences. Meanwhile, standard distance for dengue cases reported in the year 2017 is 16,438.2 m, which is bigger than dengue cases reported in 2018, showing a standard distance of 14,583.1 m. In the present study, several hotspots identified will be beneficial to assist the local health authorities to reduce and eradicate mosquitoes in these areas. These results will provide valuable information through the application of advanced tools in combating Aedes mosquitoes. KEYWORS: Spatial, Leprosy, GIS 5 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatio-Temporal Pattern Analysis of Typhoid and Diarrhea Cases and Associated Factors in Drought Districts of Andhra Pradesh, India 2013-2017 S V S Aditya Bharadwaz Ganni, Indrajit Pal and Nitin Tripathi Asian Institute of Technology, Thailand, E-mail: [email protected] ABSTRACT The present study carries out a Spatio-temporal analysis of typhoid and diarrhea incidence cases from 2013 – 2017 in two districts present in the state of Andhra Pradesh. Also will find the relationship between rainfall and disease incidence. Monthly rainfall data is also collected from the year 2013 to 2017 to identify its relationship with both the diseases. Districts having a small population can display false observed incidence in reality since they are more variable than villages with a larger population in order to solve this problem Empirical Bayes Smoothing (EBS) method will be used. Then Spatial Autocorrelation analysis is carried out in Arc GIS software. KEYWORS: Health GIS, Typhoid, Diarrhoea, Spatio-Temporal Analysis Exploring Geo-spatial Analysis to Map Malaria Endemicity and Applied Interventions in a Rural District of Chhattisgarh, India Hitakshi and Sunil Vilasrao Gitte National Vector Borne Disease Control Programme, MoHFW, India E-mail: [email protected], [email protected] ABSTRACT Spatial analysis and mapping of Malaria endemicity and applied interventions was done for past 4 years using an open source QGIS Software for Kawardha District of Chhattisgarh state in India. The endemicity was mapped on the basis of case load, Annual Parasite Incidence and type of species. The effect of interventions - Long Lasting Insecticidal Nets (LLINs) and Indoor Residual Spray (IRS) on the burden of Malaria was also studied over last four years. KEYWORS: Malaria, India, LLIN, IRS, GIS 6 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatial Mapping and Temporal Correlation Analysis between Mosquito-Borne Diseases and Meteorological Factors in Mannar, Sri Lanka K.K.S.A. Withanage,1 N.K. Tripathi,1 Chitrini Mozumder,1 R.D.J. Harishchandra,2 Prasad Ranaweera, A.Y.K. Perera, K.G.S. Kalansooriya, Priyadarshan Emmanuel, M.A.S.T Fernando and Mihirini Hewavitharane 1Asian Institute of Technology, Thailand, E-mail: [email protected], [email protected], [email protected] 2Regional Malaria Office, Anti Malaria Campaign, Mannar, Sri Lanka E-mail: [email protected] 3Anti Malaria Campaign, Headquarters, Colombo 5, Sri Lanka E-mail: [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] ABSTRACT Mannar Island is 27.85 km², belongs to the arid zone. Currently, no local case of malaria has been found since October 2012, but, there is a possibility of reintroduction of malaria in Mannar due to the close proximity to southern India. Dengue cases are recorded from the Island. There is a lack of studies about the behavior of dengue and malaria mosquitoes with its unique climatic condition on the island. Therefore, the present study carried out to analyze the temporal correlation between malaria and dengue vector mosquitoes and meteorological factors in Mannar Island in 2019. During the 2019 year, 2063 breeding sites were surveyed, of them, 10% of sampling sites were identified with mosquito breeding. R studio was used to map spatial data for better visualization with its spatial packages. The most prevalent Malaria mosquitoes in Mannar were Anopheles stephensi, Anopheles culicifacies, Anopheles subpictus, and Anopheles varuna. The least prevalent was Anopheles tessellatus, An. nigerrimus, Aedes vittatus, Anopheles vagus, and Anopheles barberiostris. Dengue mosquitoes were Aedes aegypti and Aedes albopictus. For correlation analysis, Anopheles stephensi, Anopheles culicifacies, Anopheles subpictus, Anopheles varuna, Aedes aegypti and Aedes albopictus were used. Spatial maps created using packages in R. Temporal correlation between monthly rainfall, temperature, relative humidity, and monthly mosquitoes’ larva density were studied using spearman correlation in R. Anopheles stephensi were correlated significantly and positively with monthly all meteorology factors. Both Dengue mosquitoes showed a negative correlation significantly with monthly temperature. Anopheles subpictus showed a significantly negative correlation with monthly temperature and humidity. Anopheles varuna showed a significantly negative correlation with rainfall and humidity. Except, Anopheles varuna and Anopheles stephensi, all other species showed a negative correlation with temperature. Humidity and rainfall have shown a higher correlation than temperature to Anopheles stephensi and Aedes aegypti incidences. There was a positive significant correlation between monthly rainfalls with relative humidity. Meteorological variables play important environmental roles in mosquitoes borne diseases transmission in Mannar Island. KEYWORDS: Anopheles Stephensi, Malaria, Dengue, Vector Born Disease, Climatic Factors 7 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Factors of Knowledge and Attitude about Dengue Haemorrhagic Fever (DHF) that Affect the Behavior of DHF Prevention Using Geographic Information Systems (GIS) in Agriculturist in Taket Sub-district Uthumphon Phisai District Sisaket Province Klarnarong Wongpituk,1 Tammasak Saykaew,1 Sureewan Siladlao,1 Anuvat Roongpisuthipong,1 Warangkana Chankong2 and Pranee Sriboonreang3 1Department of Public Health, College of Allied Health Sciences, Suan Sunandha Rajabhat University, Thailand, E-mail: [email protected] 2School of Health Sciences, Sukhothai Thammathirat Open University, Thailand 3Department of Community Public Health, Sisaket Rajabhat University, Thailand ABSTRACT This research was survey research. The aim of this study was to study the factors of knowledge and attitude about Dengue Haemorrhagic Fever (DHF) that affect the behavior of DHF prevention using Geographic Information Systems (GIS). Studied in the population who was agriculturist in Taket sub-district Uthumphon Phisai District Sisaket Province, number 282 people. Data analysis using statistical analysis data such as frequency, percentage, mean, standard deviation finding relationships with Chi-square statistics. The results of the study found that the factors of gender, age, occupation, knowledge of DHF, and attitudes towards DHF were not related to DHF prevention behaviors of health network partners in the Taket sub-district Uthumphon Phisai District Sisaket Province. A spatial map was created using GIS as a tool for site planning and in real-time. Recommendations should promote the development of the capacity of health network partners in the knowledge of DHF and attitudes towards DHF prevention and behavior in DHF prevention. The community should be encouraged to act on their own. There should be an up-to-date DHF knowledge program activity. Continue to develop GIS in public health. KEYWORS: Dengue Haemorrhagic Fever (DHF), Knowledge, Attitude, Behavior, Health Network, GIS 8 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Gender Roles in Preventing Malaria among the Indigenous People Siti Nur Afiqah Zahari1 2 and Abdul Rashid1 1RCSI & UCD Malaysia Campus & 2KANITA, Universiti Sains Malaysia, Malaysia E-mail: [email protected], [email protected] ABSTRACT Malaria is still a serious cause of increased morbidity and mortality worldwide. Those living in the forest and the fringes of the forest like the indigenous people are at higher risk. Although studied extensively, little is known about the roles played by gender in preventing malaria. A qualitative study was conducted among the indigenous community in Malaysia using the snowball sampling method to understand the roles played by gender in the prevention of Malaysia. The presenter will discuss the roles and responsibility of each gender and how they viewed Malaria as a serious illness. The information can be generated for targeted health promotion and education to eradicate Malaria. KEYWORS: Gender Role, Malaria, Indigenous, Malaysia, Qualitative Retrospective Spatial Risk Assessment of Dengue Fever in Selected Province of Laos Sumaira Zafar,1 Oleg Shipin1 and Hans Overgaard2 1Asian Institute of Technology, Thailand E-mail: [email protected], [email protected] 2 Norwegian University of Life Sciences, Norway, E-mail: [email protected] ABSTRACT Laos is endemic to dengue fever; after the first outbreak in Vientiane during 1983 (1,759 cases), the country has experienced frequent dengue outbreaks with varying severity. This study investigates the impact of the significant environmental (landuse/landcover) and climate (rainfall, temperature, flood) risk factors and their variability on dengue fever transmission in selected provinces of Laos (Champasak and Savannakhet). Global climate change and its effect can be multiplied when it combines with the change in the physical environment (landuse/landcover), and the impact can be seen at the local level. For this study, historical dengue case data from 2003 – 2019 were acquired from the Laos health department. Landsat images were used to extract Landuse/landcover change and climate data from the Copernicus Climate Change Service data web portal. Spatially autocorrelated first-order autoregressive process (Bayesian approach) is used to model the associated risk with the variability of the independent (environmental and climate) variables. KEYWORDS: Dengue, Climate Change, Land use/Land cover, Bayesian 9 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 2 Surveillance Model for Soil-transmitted Helminthiasis in Mekong Basin: A Spatial 11 Analysis Using Technology Information 12 Yongyuth Puriboriboon and Choosak Nithikathkul 13 14 Long Term Care for Helminthiasis in Seniors: Si Sa Ket Integration Models Sukhontip Norasan, Pacharamon Soncharoen and Choosak Nithikathkul Spatial Analysis and Intervention Program of Helminthiaisis and Opisthorchiaisis in Sisaket Province: Review and Situation Thailand Pacharamon Sorncharoen and Choosak Nithikathkul Melioidosis in the Northeastern State of Malaysia: Spatial Analysis of Cases and Their Sequence Types Ahmad Filza Ismail, Siti Munirah Mohd Adib, Azian Harun and Aziah Ismail 10 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Surveillance Model for Soil-transmitted Helminthiasis in Mekong Basin: A Spatial Analysis Using Technology Information Yongyuth Puriboriboon and Choosak Nithikathkul Tropical and Parasite Disease Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected], [email protected] ABSTRACT Soil-transmitted helminthiasis is the most common infectious helminth throughout the world, affecting the human population in several countries in Southeast Asia, especially countries along the Mekong basin, Cambodia, Laos, Vietnam, and Thailand. This study aims to analyze spatial distribution characteristics of helminthiasis in the countries along the Mekong basin with the application of geographical information system (GIS) to generate predictive maps of infection based on currently available data. When applying the GIS to analyze the parasitic helminth infection’s spatial distribution of the four countries, the results show that the overall infection rate of the three major soil-transmitted helminths (STHs), Ascaris lumbricoides, Trichuris trichiura, and hookworms, constitute 4.2%, 4.5%, and 20.2%, respectively. These GIS applications provide a better understanding of helminth epidemiology and can create a surveillance model for future prevention and control of STH infection in the region. KEYWORS: GIS, Mekong Basin, Surveillance, Soil-Transmitted Helminthiasis 11 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Long Term Care for Helminthiasis in Seniors: Si Sa Ket Integration Models Sukhuntip Norrasarn, Pacharamon Soncharoen and Choosak Nithikathkul1 Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected] ABSTRACT The phenomenal of long term care is relatively a new paradigm to the Thai society. Ministry of Public health established the strategy road map for long term care for communities. During Era of COVID-19 innovation model already lunch at target communities, the combination of helminthiasis screening with risk factors of seniors combine with long term care were investigated with 293 seniors in Si Sa Ket community. The results shown the average age was 67-year-old, 45 % stay with family, Agriculture and farmer work was majority group with poverty. The helminthiasis prevalence already showed 18.4 % [54 cases] were hookworm 10.6 %[31 cases], taeniasis 5.5 % [16 cases] and opisthorchiasis 2.4 % [7 cases]. For regression analysis with risk factor already established with the model. The predictive model for long term care with helminthiasis prevention was Y = 19.419 + 1.681 [Knowledge] + 0.595 [Perception of benefit] + 0.159 [Social support] + 0.254 [Self-efficacy]. Finding, in the development of the senior care model was used participation processes with community stakeholders and started with community situation for long term care for dependent elderlies also model development by community stakeholders using supporting by community network and health personal team. The senior long term care consisted of developing the caregiver's ability in the household, create a network of moderators with coordinators depending on the Sub-district health system, developed the happy home center for coordinate in the district and senior care manager by practice nurses. The environmental living management was send to local administrative team action. Then, the system could effect to security of health and environment in dependent senior than before and should be extended to the next and other areas. KEYWORDS: Helminthiasis, Long-Term Care, Seniors 12 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatial Analysis and Intervention Program of Helminthiaisis and Opisthorchiaisis in Sisaket Province: Review and Situation Thailand Pacharamon Sorncharoen and Choosak Nithikathkul Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected] ABSTRACT Food borne infections continue to be a major public health problem, with more than 50 million people infected throughout the world. The popularity of uncooked, freshwater fish among indigenes in regions endemic for fish borne zoonotic parasites represents a continuing public health concern. The costs for prevention, treatment and eradication have so far frustrated the limited budgets of global Public Health systems. The report was done to determine the health informatics of helminthaisis in Sisaket, Thailand. The investigators evaluated how health informatics could be used to predict the control and eradication in a cost effective manner. The retrospective study and current situation of helminthaisis and opisthorchiaisis already investigated with geographic information system. The reports already show the prevalence of helminathiasis during year 2015, 2016, 20171, 2018 and 2019 were 1.28 %, 0.45%, 0.35%, 0.5 % and 0.5% respectively. The overall helminthiasis already including Opisthorchis viverrini, Taenia spp, hookworm, Ascaris lumbricoides, Strongyloides stercolaris, Trichuris trichiura and Enterobius vermicularis. The percentage of Opisthorchis viverrini from positive cases were 35.9%, 52.28%, 50%, 66.62% and 57.8 % in Year 2015, 2016, 2017, 2018 and 2019. The helminthiasis prevalence was recorded and used to build a geographical information system. The current situation, show the investigate the helminthaisis and health educational program for the prevention of soil- transmitted helminthiasis among school-age children in Sisaket, Thailand. Study participants totaled 515, comprised approximately 258 male children and 257 female children. Study participants divided into 2 groups: intervention group and comparison group. The research instruments used were an interview form and formalin ether concentration technique. The data were analyzed by means of a paired samples t-test and independent t-test. The results of the situation analysis revealed that the overall helminths prevalence of school- aged children was 12.1%. The developed GIS can be useful in the establishing of a prevention strategy for transmission of Opisthorchiasis and helminthiaisis. Our conclusion: the distribution of helminthiasis is highly focal, depending on the presence of susceptible hosts, and the socio-economic and behavioral pattern of the definitive host included and is endemic in areas where raw eating habits are deeply rooted in culture and are difficult to change. KEYWORDS: Food Borne Diseases, helminthiaisis Opisthorchis viverrini and GIS 13 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Melioidosis in the Northeastern State of Malaysia: Spatial Analysis of Cases and Their Sequence Types Ahmad Filza Ismail,1 Siti Munirah Mohd Adib,2 Azian Harun1 and Aziah Ismail2 1School of Medical Sciences, Universiti Sains Malaysia, Malaysia E-mail: [email protected], [email protected] 2Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Malaysia E-mail: [email protected], [email protected] ABSTRACT Melioidosis is caused by Burkholderia pseudomallei which can be found in water and soil, as well as in animals. This study was looking at the spatial distributions of the cases and their sequence types (ST) from the isolates. The cases were taken from the Hospital USM admission records from 2012 to 2019. There were 70 cases recorded, while the number of isolates from the cases was 33. As the results, the cases were clustered and concentrated in the northern part of the state, however, the most frequent ST, ST371 (n=6) were found to be distributed in a dispersed manner. KEYWORDS: Melioidosis, Sequence Types, Spatial Analysis 14 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 3 Comparative Analysis of Climatic Factors on Outbreak of Malaria Using 16 Machine Learning 17 Pallavi Mohapatra and Nitin Kumar Tripathi 18 19 Survey of Health Information Perception on Smartphone for Health Promotion 20 Among Elderly People Kantapong Prabsangob and Luckwirun Chotisiri 21 21 Address Geocoding Tools for Disease Mapping Using Free and Open Online 22 Services: An Exploratory Comparative Case Study in Malaysia 23 Noramira Monir and Abdul Rauf Abdul Rasam 24 Social Network Analysis for Leader Identification of Social Learning among Patients with Type 2 Diabetes Mellitus and Hypertension Napa Rachata The Development of Effective Khaokho District Agriculture Tourism Route Recommendation on Semantic Web by Integration Ontology and Analytic Hierarchy Process Nakarin Chaikaew, Linlalee Siriwilailerdanun, Luethaipat Pimonsree and Nakharet Chaikaew Real-Time Detection and Diagnosis of Skin Diseases using Deep Learning Techniques Amit Prasad Nayak and Mongkol Ekpanyapong Mobile GIS Application for Nearest Health Service in Karari Locality, Khartoum, Sudan Mohammed Mahmoud Ibrahim Musa, Eltayeb Ibrahim Ahmed Wadi and Ebtisam Ali Mohammed Safe Mapping Platform: A GIS Mobile Crowd Sensing Platform for COVID-19 Self-Tracking and Self-Risk Managing Sakda Homhuan, Chanida Suwanprasit, Chakkaphong Namwong, Wipawinee Khamnoi, Raweewan Boonma, Tippawan Mate and Nathalika Wanginkhom Development of Smart Health Tourism Destinations Using Volunteered Geographic Information (VGI) Systems Vahid Shahbakhsh Shiri Effect of Movement Control Order (MCO) in Determining Predictors of New Malaysian COVID-19 Cases Based on Artificial Neural Network (ANN) Model using Publicly-Available Data M. A. Edre, Z. A. Muhammad Adil and A. R. Jamalludin 15 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Comparative Analysis of Climatic Factors on Outbreak of Malaria Using Machine Learning Pallavi Mohapatra and Nitin Kumar Tripathi Asian Institute of Technology, Thailand, E-mail: [email protected] ABSTRACT The study investigated the influence of various climate parameters on the incidence of malaria in 17 blocks of Sundargarh district in the state of Odisha in India. Climate data used in the study include 1) block-wise station rainfall (RF) observation data; 2) gridded surface temperature (T2) data; and 3) Relative humidity (RH) data. High resolution gridded (with a horizontal resolution of 0.1°) ECMWF reanalysis land (ERA5-Land) data were used for observed temperature and relative humidity. The rainfall data was sourced from the Special Relief Commissioners' web portal in Odisha. Malaria incidence data were collected for 17 Blocks of Sundargarh districts, from the Directorate of Public Health of the state. Two machine learning classifier techniques in WEKA (machine learning software), namely, Multi- Layer Perceptron (MLP) and J48, was used to predict the malaria incidents in a specific climate condition successfully. The performance evaluation of the two techniques was done using the classifier accuracy, Root Mean Square Error (RMSE), Kappa, and ROC scores. Classifier techniques such as the 10-fold cross-validation, Percentile split (66%) and user-defined test options were used to divide the data into a training set and testing set. The study found out that the prediction accuracy in 10-fold cross-validation with J48 decision tree classifiers was generally higher than the MLP. The results were encouraging, especially for the potential utilization of the model for the prediction of future malaria incidence with higher confidence with access to weather forecasts. It was established that during periods of low rainfall, medium temperature, and lower relative humidity, there is a medium level incidence of malaria in Odisha. Medium rain, high temperature, and low relative humidity are also associated with medium cases of malaria. Also, high temperatures, higher rainfall, and low relative humidity are characterized by a medium level of malaria incidence. Most importantly, it was established that high malaria incidence is associated with high or medium rainfall, low or medium temperature, and medium or very high relative humidity. KEYWORD: Machine Learning, Malaria prediction, J48 Decision Tree, WEKA, Multilayer Perceptron 16 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Survey of Health Information Perception on Smartphone for Health Promotion among Elderly People Kantapong Prabsangob and Luckwirun Chotisiri Suan Sunandha Rajabhat University, Thailand E-mail: [email protected], [email protected] Abstract The ability to access and understand health information of the majority of elderly was low and correlated with the elderly's self-care behavior. The objective of this study was to survey health information perception on smartphone and usage for health promotion among elderly people. 40 participants from Phetpraram Community and Praram 9 BoH 3 were interviewed about the perception and usage of health information on smartphone for health promotion. This study found that the elderly’s perception and usage of health information on smartphone for health promotion were low. Therefore, improving the ability of elderly people in perception of health information on smartphone may help improve the elderly’s self-care behavior. KEYWORDS: Health Information, Smartphone, Health Promotion, Elderly 17 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Address Geocoding Tools for Disease Mapping Using Free and Open Online Services: An Exploratory Comparative Case Study in Malaysia Noramira Monir and Abdul Rauf Abdul Rasam Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Environmental and Social Health (ESH), Health & Wellbeing Research Entity, Universiti Teknologi MARA Shah Alam, Selangor, Malaysia E-mail: [email protected], [email protected] ABSTRACT Geographical information system (GIS) has been used for spatial epidemiology or disease mapping that normally begins with geocoding, a process of assigning geographic coordinates to an address on a map. Due to the development of geospatial technology and user requirements, the need for free online geocoding services is increasing. This study aims to examine the mapping capabilities of common free online geocoding services to map tuberculosis in Sarawak, Malaysia. The features of QGIS, Google Map and ArcGIS Online were explored in terms of quality (accuracy), speed (time), cost (license or not) and coverage (detection). QGIS offers better mapping features for geocoding services of the TB locations compared to ArcGIS Online and Google Map. KEYWORS: Geocoding, Disease Mapping, ArcGIS Online, QGIS, Google Map 18 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Leader Identification of Social Learning among Patients with Type 2 Diabetes Mellitus and Hypertension using Social Network Analysis Napa Rachata School of Information and Communication Technology, University of Phayao, Thailand E-mail: [email protected] ABSTRACT Undeniably, preventing patients with type 2 diabetes mellitus and hypertension from cardiovascular complications is a public health problem that deserves research attention. The leader is important for the social learning network because the leader can provide valuable inspiration and knowledge to support a better quality of life for their community. Consequently, the patients can prevent themselves not to have complications or worse health status or even to have a better health status in the presence of the leader. With the presence of the leader, it is a challenge for the social learning network because the leader is changed under different conditions anytime. For these reasons, this paper proposes the analysis of a social learning network for identifying leader among patients with type 2 diabetes mellitus and hypertension for preventing cardiovascular complications based on the social network analysis method. The proposed leader is expected that she/he is a role model who provides the ideal healthcare practice for other patients so they can learn healthcare practice from the leader for managing themselves appropriately throughout their healthcare journey. This proposed paper is proved with 189 patients with type 2 diabetes mellitus and hypertension in Chiang Rai province. The experimental results show that the proposed leader has been widely accepted among the patients' social learning network. KEYWORDS: Cardiovascular Complications, Leader Identification, Social Learning, Social Network Analysis, Type 2 Diabetes Mellitus and Hypertension 19 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

The Development of Effective Khaokho District Agriculture Tourism Route Recommendation on Semantic Web by Integration Ontology and Analytic Hierarchy Process Siriwilailerdanun, L.,1 Pimonsree, L.,2 Chaikaew, N.3, 4 and Chaikaew, N.,3, 5 1Tourism, Faculty of Liberal Arts and Education, Phitsanulok University, Thailand 2Tourism, School of Business and Communication Arts, University of Phayao, Phayao, Thailand 3Research Unit of Spatial Innovation Development, School of Information and Communication Technology, University of Phayao, Phayao, Thailand E-mail: [email protected] 4Computer Graphics and Multimedia, School of Information and Communication Technology, University of Phayao, Phayao, Thailand 5Geographic Information Science, School of Information and Communication Technology University of Phayao, Phayao, Thailand ABSTRACT Applying decision making techniques to prioritize information will help make semantic web travel recommendation more effective. This research aimed to study decision-making structures and information on agricultural tourist attractions in Khao Kho District, Phetchabun Province. The researcher designed agro tourism decision structure using the AHP model, comprising seven criteria based on the 5ASM, and compiled data of the importance of each criterion from tourism experts and local philosopher on agriculture. The research results were found that the decision structures are divided into 3 levels. Decision levels are in seven criteria based on the 5ASM concept. The ontology knowledge base has three levels of 27 knowledge nodes and 5 rules of introduction and the performance of the new system is higher than that of the web-based ontology and received an F-measure of 88.5% and the user had the highest overall system satisfaction. It was shown that Attraction, Accessibility, Amenities, Accommodation, Activity, Security, and Management have different order of weighting decisions, and found that the top three development priorities are experience, accessibility and promotion. KEYWORDS: Efficiency, Khaokho District Agriculture Tourism Rout, Semantic Web, Ontology, Analytic Hierarchy Process 20 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Real-Time Detection and Diagnosis of Skin Diseases Using Deep Learning Techniques Amit Prasad Nayak and Mongkol Ekpanyapong Asian Institute of Technology, Thailand E-mail: [email protected], [email protected] ABSTRACT Dermatological disorders are one of the most widespread diseases in the world. Despite being common its diagnosis is extremely difficult because of its complexities of skin tone, color, presence of hair. In the field of dermatology, many a times extensive tests are to be carried out so as to decide upon the skin condition the patient may be facing. The time may vary from practitioner to practitioner. Sometimes, the doctors also fail to correctly classify the disease and hence provide inappropriate medications to the patient. So, there is a need of a system which can diagnose the skin diseases without any of these constraints. This proposal provides an approach to use different deep learning techniques to automatically predict the various kinds of skin diseases. Our objectives are to use deep learning image recognition architectures namely InceptionV3, ResNet50, VGGNet, Xception for skin disease application and successfully predicts by choosing the model with the highest accuracy. Then we develop an android application where the results can be displayed in real-time. The system consists of three phases - the feature extraction phase, the training phase and the testing / validation phase. The system makes use of deep learning technology to train itself with the various skin images. Furthermore, this can also be used as a reliable real-time teaching tool for medical students in the dermatology stream. KEYWORDS: Dermatology, Image Recognition, Deep Learning, Android, Real-time Mobile GIS Application for Nearest Health Service in Karari Locality, Khartoum, Sudan Mohammed Mahmoud Ibrahim Musa1, Eltayeb Ibrahim Ahmed Wadi2 and Ebtisam Ali Mohammed3 1Alzaiem Alazhari University, Sudan, E-mail: [email protected] 2University of Khartoum, Sudan, E-mail: [email protected] 3Omdurman Islamic University, Sudan, E-mail: [email protected] Abstract The rapid development in mobile technology and increase of mobile devices users makes mobile applications as optimal solutions in different fields, and GIS is not exception. Mobile GIS is a GIS application that runs on handheld devices which allow us to visualize Geospatial data and use GIS tools and services through mobile devices. This study attempted to develop Mobile GIS application provide a solution for health services accessibility using closest facility network analysis layer to determine the best route to go to the nearest medical center based on the desired medical services type. Keywords: GIS, Mobile GIS, Network Analysis, Closest Facility, Medical Services 21 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Safe Mapping Platform: A GIS Mobile Crowd Sensing Platform for COVID-19 Self-Tracking and Self-Risk Managing Sakda Homhuan, Chanida Suwanprasit, Chakkaphong Namwong, Wipawinee Khamnoi, Raweewan Boonma, Tippawan Mate and Nathalika Wanginkhom Department of Geography, Faculty of Social Sciences, Chiang Mai University, Thailand E-mail: [email protected], [email protected] ABSTRACT Increases in society sector of open data and online mapping technologies are starting new chances for interactive mapping in many research applications. Mobile crowd sensing is an application that gathers data from a network of conscientious volunteers and implements it for public benefit which is very helpful for collecting related information during the COVID-19 situation. The paper aims to demonstrate the concept of #Safe Mapping Platform which followed a framework of opensource technology and implementation aspects. The #Safe Mapping Platform was established for self-tracking and self-risk managing by integrating GIS opensource technologies, location-based services, and LINE application. The developed platform can be adapted to the public for self- tracking and self-risk managing in any health issues in the future. KEYWORDS: Mobile Crowd Sensing, Opensource, GIS, Self-tracking, Self-Risk Managing 22 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Development of Smart Health Tourism Destinations Using Volunteered Geographic Information (VGI) Systems Vahid Shahbakhsh Shiri Faculty of Geography, University of Tehran, Iran E-Mail: [email protected] Abstract Smart health tourism is a new concept that refers to the use of technology in providing healthcare services to tourists. Developing smart health tourism services and destinations is costly and time-consuming. Using Volunteered Geographic Information (VGI) systems, which are based on people's participation in providing information, is a cost- effective and fast solution for the development of this type of tourism. Therefore, this paper discusses the concept of smart health tourism and the role of VGI systems in its development. The literature is reviewed and a model of VGI system for smart health tourism is presented. Finally, the potentials and limitations of VGI systems are mentioned and overall, an attempt was made to provide a theoretical insight and framework for further research. Keywords: Smart, City, Citizen, Tourism, Health, Geographic, Information, VGI 23 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand