HealthGIS 2021 E-Abstract proceeding Volume

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 International Islamic University Malaysia, Malaysia E-mail: [email protected], [email protected], [email protected] ABSTRACT The rise in COVID-19 cases can be attributed by both individual and healthcare level factors. Not much is known in regards to the effect of MCO on local COVID-19 cases due to healthcare level factors in Malaysia. Hence, the study aimed to determine the potential contributing factor in the new cases for preventive strategies. An analytical cross sectional study utilizing publicly-available data was done to determine new cases by total daily tests conducted, person under investigation, close contacts, influenza-like illness (ILI)/severe acute respiratory infection (SARI) and pending test results. Two time frames were used, which were before MCO (27 February 2020 – 17 March 2020) and after MCO (27 February 2020 – 3 April 2020). A feed-forward artificial neural network was modelled using multilayer perceptron machine learning procedure using IBM SPSS version 23. The best fitting model was the after MCO (sum of squares error= 2.3, relative error= 0.6) with pending test as the most important predictor (53%) followed by ILI/SARI (16%). Findings suggest early detection and case isolation needed to prevent local transmission. More reagents for RT-PCR as well as public-private partnership needed to identify pending case status faster. Strengthening ILI/SARI surveillance is needed to prevent more COVID19 clusters. KEYNOTE: COVID-19, ANN, Pending Test, ILI, SARI 24 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 4 Anti-Malaria Traditional Herbs: Local Wisdom 26 Suratsawadee Sinwat, Panee Sirisa-Ard and Choosak Nithikathkul 27 Herbal using behaviors among Diabetes in Ban Chu Chi Health Promoting 28 Hospital, Bang Chakreng subdistrict, Mueang Samut Songkhram, Samut 29 Songkhram Province 30 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 25 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Anti-Malaria Traditional Herbs: Local Wisdom Suratsawadee Sinwat,1 Panee Sirisa-Ard2 and Choosak Nithikathkul1 1Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected], [email protected] 2Faculty of Pharmacy, Chiang Mai University, Thailand, E-mail: [email protected] ABSTRACT Malaria is caused by a protozoan, Plasmodium that enters the blood stream as a consequence of a bite by infected mosquito, Anopheles. Malaria is the one of main important tropical diseases in the world. Globally, an estimated 3.4 billion people in 92 countries are at risk of being infected with malaria. In the climate change, an increase in temperature, rainfall, and humidity may cause a proliferation of the malaria-carrying mosquitoes at higher altitudes, resulting in an increase in malaria transmission. Traditional medicines or alternative medicine have been used and reported to treat malaria and are the source of the two main groups (artemisinin and quinine derivatives) of modern antimalarial drugs. Facing to the drug resistant problems and difficulties in poor areas of being able to afford and access effective antimalarial drugs, traditional medicines and alternative medicine could be an important and sustainable source of treatment. This research is based on Applied Research, Mixed Research, using quantitative and qualitative research methods. By interview, observation and preparation of geographic information system (GIS) important herbs. The research results were found that Folk healers of 4 people in Chanthaburi and Sa Kaeo provinces. 13 different types of local herbs have been known to be used to treat malaria. But the main herbs are Thai neem, quinine, wormwood, and Phalai Phuek Root. Which from interviews with folk healers It was found that the herb as the main drug has properties to nourish the body, prevent and treat wild fever during the journey. Used as a cure for all kinds of fever. Cure chronic fever as a fever reducer cure malaria cut all kinds of fever. Each local healer has knowledge that is local wisdom passed down. Have at least 15 years of treatment experience. Treat patients in the community a lot because the two provinces border with Cambodia. Folk healers believe that infection from malaria is more likely and more severe than that in Thailand. Because pathogens come from border contact and all said it can cure malaria in the more severe stages, such as cerebral malaria. Malaria down the spleen Including other fever That are similar and know the sources of natural herbs as well. KEYWORS: Anti-Malaria, Alternative Treatment, Traditional Herb 26 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Herbal Using Behaviors among Diabetes in Ban Chu Chi Health Promoting Hospital, Bang Chakreng Subdistrict, Mueang Samut Songkhram, Samut Songkhram Province Tammasak Saykaew and Klarnarong Wongpituk Public Health Program in College of Allied Health Sciences, Suan Sunandha Rajabhat University, Thailand, Email: [email protected] ABSTRACT This cross-sectional research was studied the Herbal using behaviors among Diabetes in Chu Chi Health Promoting Hospital, Bang Chakreng subdistrict, Mueang Samut Songkhram, Samut Songkhram Province. The data was collected between 1 October 2018 until 20 January 2019 by the questionnaires. Totally, 63 among the diabetes patients in DM clinic at Chu Chi Health Promoting Hospital. The data was analyzed with statistics, frequency, percentage, mean, standard deviation and analyzed associated by Chi-Square test. The result found that the population group were used the Herbal using behaviors 65.1 percentage. The factors were associated to the Herbal using behaviors among Diabetes such as Received information and trained by Statistical significance at 0.027 and 0.028 respectively. The study suggested should be the learning resources and experts about herbal example: folk healer. Moreover, should be a herbal club in the village, sub-district, district for encourage educate the people in the community, promote the conservation, rehabilitation herbs and folk wisdoms about the Using herbs to maintain health. KEYWORDS: The Herbal using Behaviors, The Diabetes Patients 27 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Antioxidant Activity and Development of Skin Care Lotion Containing Hedychium Coronarium Essential Oil Rattana Panriansaen, Nustha Kitprathaung and Chopaka Chandham Program of Aesthetic Health Science, College of Allied Health Sciences, Suan Sunandha Rajabhat University, Thailand, E-mail: [email protected] ABSTRACT The objectives of this research were to study of antioxidant activity by DPPH method and to develop skin care lotion that containing Hedychium Coronarium essential oils. The tuber of Hedychium Coronarium were sliced and oven until dried. Essential oils extracted from dried tuber by water distillation for 5 -8 hours. Hedychium Coronarium essential oil was examined for the antioxidant activity by DPPH radical scavenging assay method compared with vitamin E. The IC5 0 values of vitamin E and Hedychium Coronarium essential oils were of 2 . 4 8 5 and 4 . 0 5 4 μg/ml respectively. Total phenolic content was determined by Folin- Ciocalteu phenol reagent using the garlic standard curve. The phenolic content of Hedychium Coronarium essential oil was 13.013 μg/ml. Hedychium Coronarium essential oils were developed to skin care lotion in the percentage of concentration at 1, 3 and 5 . All three formulas were tested for physical properties and stability of the product using heating cooling cycle. The pH value of formula 1, 2 and 3 were 5.65, 5.96 and 5.30 respectively. All formula were not separated and unchanged texture. There were not any cause irritations after testing in 15 volunteers. The moisture content and the satisfaction was measured before and after used. The results were analyzed by Paired T-test statistics. It was concluded that the skin hydration was significantly increased (P <0 . 0 5 ) after using all formula. The level of satisfaction all formula were at very satisfied. 28 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

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,1 Aree Sanguanchue1 and Salila Cetthakrikul2 1Department of Public Health, Faculty of Public Health, Valaya Alongkorn Rajabhat University under the Royal Patronage, Thailand E-mail: [email protected], [email protected] 2Department of Physical Therapy, School of Allied Health Sciences, Walailak University Thailand, E-mail: [email protected] Abstract Osteoarthritis is the most common form of arthritis in the knee. It is occurring when the protective cartilage that cushions the ends of your bones wears down over time and mostly often in people 50 years of age and older. The aim of this study was to compare before and after the 3-months intervention program on self-care sandbag of knee osteoarthritis patients in the secondary care of Thailand. They were divided into 2 groups, the intervention group, and the control group by using the hospital-based selection. The 65 knee osteoarthritis patients who were participated in this study. Both of group were assessed the pain scores of knee osteoarthritis (Oxford knee score) and the knowledge of knee osteoarthritis at the baseline and after 3-months intervention program. The Independent t-test and paired sample t-test were used for comparison the outcome parameters between and within the group, respectively. The results showed that the pain score of knee osteoarthritis was decreased scientifically more than the control group (p<0.001) and the knowledge of knee osteoarthritis was increased significantly (p<0.001). In conclusion, the self-care sandbag exercise program can reduce the severity of pain among knee osteoarthritis patients and lead to decrease risky on compliance from the diseases. KEYWORDS: Sandbag, Exercise, Intervention, Knee Osteoarthritis 29 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Antioxidant Activity, Total Phenolic Content and Cytotoxic Activity of Etlingera Pavieana Rhizome Extract Combined with Terminalia Catappa Leaves Extract Papawee Sookdee,1 Kingkan Iamnet,1 Supakaneewan Khanunthong1 and Rathapon Asasutjarit2 1Applied Thai Traditional Medicine, College of Allied Health Sciences, Suan Sunandha Rajabhat University, Thailand, E-mail: [email protected] 2Department of Pharmaceutical Sciences, Faculty of Pharmacy, Thammasat University, Pathumthani, Thailand ABSTRACT The aim of this study was to investigate the potential of the Antioxidant activity, Total Phenolic Content and Cytotoxic activity of 95% ethanolic extract of Etlingera pavieana (Pierre ex Gagnep.) R.M.Sm Rhizome combined with Terminalia catappa L. Leaves. E. pavieana ethanolic extract combined with T. catappa ethanolic extract (ETE) was evaluated for antioxidant activity by DPPH scavenging assay with total phenolic content by using Folin-Ciocalteu colorimetric method. Cytotoxicity of ETE was measured by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay on Human forehead fibroblast cell, (HFF) cell line. ETE showed antioxidant activity with EC50 values of 5.38 ± 2.39 µg/mL with quantification of the phenolic 171.50±3.69 mgGAE/g. Cytotoxicity activity of HFF cell revealed that percentages of cell viability were more than 70% at every concentration. ETE exhibits potent antioxidant activity which was correlated with total phenolic content and nontoxic toward the normal skin cell in the in vitro study. Thus, ETE should be continuously developed traditional herbal medicine into the skin product. KEYWORDS: Etlingera pavieana, Terminalia catappa, Antioxidant, Cytotoxicity 30 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 5 Spatial Patterns in Breast Cancer Incidence in Kelantan, North East of 32 Malaysia Wan Mohammad Ismail Ad-Deen Wan Azman, Tengku Ahmad Damitri Al 33 Astani Tengku Din, Ahmad Filza Ismail, Wan Faiziah Wan Abdul Rahman, Maya 34 Mazuwin Yahya and Rosline Hassan 35 36 Long Term Care: Mahasarakham Model Thailand 37 Weerasak Aneksak, Sukhontip Norasan, Thammanoon Raveepong, Pramote 38 Thongkrajai and Choosak Nithikathkul 39 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 31 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatial Patterns in Breast Cancer Incidence in Kelantan, North East of Malaysia Wan Mohammad Ismail Ad-Deen Wan Azman,1 Tengku Ahmad Damitri Al Astani Tengku Din,2,6,7 Ahmad Filza Ismail,3,7 Wan Faiziah Wan Abdul Rahman,1,7 Maya Mazuwin Yahya5,6,7 and Rosline Hassan4,7 1Department of Pathology, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia, E-mail: [email protected] 2Department of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia, E-mail: [email protected] 3Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia, E-mail: [email protected] 4Department of Hematology, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia, E-mail: [email protected] 5Department of Surgery, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia, E-mail: [email protected] 6Breast Cancer Awareness & Research Unit (BESTARI), Hospital Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia 7Hospital Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia E-mail: [email protected] ABSTRACT The Age Standardized Rate for Breast Cancer (BC) in Kelantan increased from 15.9 to 18.1per 100,000 populations between 2007 and 2011. Spatial Analysis can provide guidance for this geography incidence. To demonstrate how Geographic Information System (GIS) can be used to understand BC incidences through spatial visualization. This is the secondary data of locations for patients diagnosed as breast cancer in Hospital USM from the year 2018-2020. The list of patients was obtained from the record office which include their addresses and the coordinates of locations were determined using Google Maps. The data were tabulated in Excell before being transferred into ArcGIS software for spatial analysis. A total of 226 cases were mapped and it was found that the cases were concentrated in North Kelantan. BC patients in North East of Malaysia were clustered. The cause of clustering needs to be investigated for further intervention. KEYWORDS: Patterns, Breast cancer, Incidence, Kelantan 32 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Long Term Care: Mahasarakham Model Thailand Weerasak Aneksak,1 Sukhontip Norasan,1 Thammanoon Raveepong,2 Pramote Thongkrajai1 and Choosak Nithikathkul1 1Tropical and Parasitic Disease Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected], [email protected], [email protected] 2Special Education program, Faculty of Education, Rajabhat Mahasarakham University, Thailand, E-mail: [email protected] Abstract In the Era of globalization, the COVID-19 pandemic has affected older people disproportionately, especially the way of living in long-term care facilities. In several countries, evidence shows that more than 40% of COVID-19 related deaths have been linked to long-term care facilities, with figures being as high as 80% in some high-income countries. Long-term care covers a diverse array of services provided over a sustained period of time to elderly with chronic conditions and functional limitations. Their needs for care range from minimal personal assistance with basic activities of everyday life to virtually total care. The number of elderly dependency from Thailand already showed 60,387, 71,485 and 196, 934 cases in Year 2018, 2019 and 2020 respectively. Most of the recent long-term care (LTC) policy initiatives use need for assistance with activities of daily living (ADLs) as the primary eligibility criterion for publicly-funded. The Barthel Index (BI) is one of the most widely used rating scales for the measurement of activity limitations in patients with neuromuscular and musculoskeletal conditions in an inpatient rehabilitation setting. Mahasarakahm province is the one of province in Northeast, Thailand. Concern about health system. the health care system for senior is an effective for long term care model. The Mahasarakham long term care model already showed sequential congruence among national health policies, Regional Health office region 7 and operational level. The crucial point of view for long term care in Mahasarakham model emphasized on family functioning designs. The recognition for the model application comprising community integration, volunteer training and collaborate with health care provider especially health information using information technology and geographic information system to improve quality of life. KEYWORDS: Long term care, ADL, Elderly, Mahasarakham Model 33 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Alternative Trends Base on Integrated Medicine for Office Syndrome Pakawat Chaiyachit,1,2 Yingsak Jittakoat,3 Panich Chantachon1 and Choosak Nithikathkul1 1Tropical and Parasitic Disease Research Unit, Faculty of Medicine, Mahasarakham University, Thailand E-mail: [email protected], [email protected], [email protected] 2Khon Kaen Hospital, Muang, Khon Kaen, Thailand 3Department for Development of Thai Traditional and Alternative Medicine, Ministry of Public Health, Tivanon Road, Muang, Nonthaburi 11000, Thailand E-mail: [email protected] Abstract Office Syndrome has been frequently found in office workers. Office syndrome is a group of commonly symptoms related to office workers; and impact on the workers' productivity. Office syndrome refers to pain in spine and muscles caused by sitting in a same position without sufficient movements. In the another phase, it seems as an ordinary pain, and go able into chronic and harder one. Those, impact the ability on body movement and related function. We searched the interested data from Khon Kaen hospital and Bureau of Alternative Medicine. Studies of interests were found and using defined inclusion/exclusion criteria. The total cases from Khon Kaen hospital, traditional medicine department show the patient with back pain 22,065 cases with 653 were male and 14,409 were female and office syndrome 11,419 cases with 3,114 males and 8,305 females respectively. The majority of the patient already attend the traditional medicine department with combination of Thai herb oil and Thai massage for treatment. Our most popular treatment for this is the Back, Neck & Shoulder massage. It targets the main points of this problem and we even include a head massage. The findings, the prevalence of office syndrome after treatment already decline into satisfied levels and prevalence. The overall results after treatment showed some good, very good improvement and cure were 20%, 40% and 40% respectively. Conclusion and Discussion: The alternative medicine would provide by traditional doctor under provision of Department for Development of Thai Traditional and Alternative Medicine, Ministry of Public Health. Office Syndrome Treatments, the symptoms are mild, the best solution is to start an exercise program and adjust working conditions and behaviors. If the pain is more severe, additional treatment therapies may be required, including taking medication, acupuncture therapy and rehabilitation and physical therapy. These techniques emphasis on fascia, tendon with importance of pain level, muscle fatigues. It would provide the alternative trends of integrated medicine for office syndrome patients. KEYWORDS: Office Syndrome, Alternative Medicine, Massage, Thai Herbal Oil 34 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Geospatial Distribution Patterns of Liver Cancer in Phayao Province, Thailand Phaisarn Jeefoo Research Unit of Spatial Innovation Development (RUSID), Geographic Information Science Field of Study, School of Information and Communication Technology, University of Phayao, 19 Moo 2, Mae-Ka, Muang, Phayao, 56000, Thailand E-mail: [email protected], [email protected] Abstract This paper was presented a GIS approach to analyze the spatial distribution patterns of liver cancer disease in Phayao province, Thailand. The main objective of this research was to examine spatial diffusion patterns methodologies including Global Moran's I and Local Geary’s C statistics and hotspot identification for mapping liver cancer cases. Medical data in the years of 2014-2017 from Phayao Province Publication Health office was used for this research. The results was showed that an outbreak of liver cancer, rate of illness was found that male highest that female, male 67% and female 33% and a totally of the case was 1,086 cases. The maximum total of patients in 2017, 2016, 2015, and 2014 with the number of sub-districts 28, 10, 8, and 2. This research presents useful information related to the liver cancer outbreak patterns in space and time. KEYWORDS: Geospatial distribution Pattern, Liver cancer, Phayao Province 35 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Understanding Lifestyle Risk Status of Tuberculosis in a Small Urban Community Using Geospatial- Epidemic Data Analysis Abdul Rauf Abdul Rasam and Nur Aimie Ridzuan 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, Selangor, Malaysia, E-mail: [email protected] ABSTRACT Human lifestyle factors are potential contributing factors to tuberculosis (TB) transmission in Malaysia although the related previous studies have not explored these factors comprehensively using geospatial perspectives. The aim of the study is to examine the impacts of lifestyle risk factors on TB cases in Shah Alam using GIS approaches with the experts and community’s opinion (risk scaled in 1 to 5). Local health experts have suggested the overall risk scale of TB-lifestyle factors is 2.32 (low-medium) as revealed in the GIS local perception-based risk index map. The status of HIV, nutrition styles and diabetes are dominant factors and are then followed by living condition, physical exercise, smoking, socioeconomic status, obesity, and alcoholism. KEYWORDS: Lifestyles, Airborne Disease, Tuberculosis Epidemic, Geospatial Mapping, Urban Community 36 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Development and Application of Bal Ex Quick Balance Skeleton Tracking For Balance Rehabilitation Zuraida Zainun,1 Nur Intan Raihana Ruhaiyem,2 Ahmad Sufril Azlan Mohamed,2 Muhammad Umar Abd Aziz2 and Azliehanis Ab Hadi1 1Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kota Bharu, Kelantan, Malaysia, Malaysia E-mail: [email protected] 2School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia ABSTRACT Virtual reality, games, wii games, disco room are alternative and rapidly explore and used as a balance rehabilitation therapy. One of the common limitations among balance disorder cases is poor compliance on the regular schedule rehabilitation for several reasons such as transportation, distance from the hospital, and lees effort for continuous exercise at home. The aim of this write up is to explain the development and application method used of skeleton tracking based on the gold standard balance rehabilitation module Bal Ex Quick Balance Development of this latest and inventive module of BAL Ex Quick Balance Skeleton Tracking in one of the solutions that can improve patient’s compliance and interest for proper rehabilitation at home and centre that can improve their balance. This latest balance rehabilitation module adapted with skeleton tracking, structure manual book and video-guided using specific foam; Bal Exzz Foam to help patients with various balance disorder. This portable motion tracking system capable of detecting and verifying patients’ exercise motion in Bal Ex Quick Balance setting environment. The system comprised of three main functional elements; the original video of physiologist showing the steps in Bal Ex Quick Balance Exercises; real time skeleton tracking technology for the user / patient following the exercises shown in the video; and exercises verification. Hence, it is also recording the original video by therapist showing the Bal Ex Quick Balance exercises for balance rehabilitation. The system’s main operation consists of two associated functions; real-time skeleton tracking and real-time exercise verification. This virtual rehabilitation is user-friendly interface with touch-free screen for a better user or patient experience. This intervention can improve future balance rehabilitation among vestibular disordered and post-stroke cases with a balance problem. KEYWORDS: Bal Ex Quick Balance Skeleton, Tracking Motion Tracking, Image Detection, Image Processing 37 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

The Participation of Volunteers in Promoting Public Health, Elderly Health, Bang Khonthi District, Samutsongkhram Province Sureewan Siladlao, Tammasak Saikaew, Klarnarong Wongpituk, Wanwimon Mekwimon and Thanya Promsorn Public Health Program, College of Allied Health Sciences, Suan Sunandha Rajabhat University, Thailand, E-mail: [email protected] ABSTRACT This research is a descriptive research to study the participation of health volunteers, health promotion of the elderly in Bang Khonthi District, Samut Songkhram Province. The samples used in the study were the public health volunteers in Bang Khonthi District, Samut Songkhram Province. The objectives of the study are: 1. To study the participation of public health volunteers in promoting elderly health in Bang Khonthi District, Samut Songkhram Province. 2. To compare the differences in participation of public health volunteers in promoting elderly health in the district. Bang Khonthi, Samut Songkhram Province Classified by personal factors. The samples used in the study were the public health volunteers in Bang Khonthi District, Samut Songkhram Province. The sample group of 242 people. The statistics used for data analysis were Percentage, Mean and Standard Deviation. The T- test was used to test the differences. One-way analysis of variance (One-Way ANOVA). The results of general data analysis of public health volunteers in Bang Khonthi District showed that most respondents were female 87.6%. Most health volunteers were between 51-60 years old 35.1%. Most health volunteers had The level of education is at the primary elementary level 31.18%, most public health volunteers are Buddhists (98.18 percent. Most public health volunteers have marital status 43.0% Most public health volunteers are employed 41.7%. Most public health volunteers earn less than 5,000 baht 54.1%. Most public health volunteers have a period of 0 - 5 years 36.4% The results of theanalysis of participation in promoting elderly health in general found that participation in the promotion of elderly health is at a moderate level. When considering each aspect, it was found that participation in decision making Participation is moderate. The participation in the operation Participation is moderate. Participation in receiving benefits Participation is moderate. Participation, evaluation Participation is moderate. The results of data analysis comparing the differences between personal factors and the participation of public health volunteers in promoting the elderly health of Bang Khonthi district Samutsongkram province found that gender, age, educational level, religion, status, occupation, income and duration of work were different. The participation of public health volunteers in promoting health among the elderly was significantly different at the level of 0.05. For a different gender. Participation in the promotion of health of the elderly is not different. 38 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

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,1 Thassaporn Chusak,1 Phannathat Tanthanapanyakorn1 and Klarnarong Wongpituk2 1Faculty of Public Health, Valaya Alongkorn Rajabhat University under the Royal Patronage, Thailand, E-mail: [email protected] 2College of Allied Health Sciences, Suansunandha Rajabhat University, Thailand Abstract The study aimed to prevent complications from non-communicable diseases by using health promotion programs applying Dharma way and Thai way. The area of study was Chiang Rak Noi Sub-district, Bang Pa-in District, Phra Nakhon Si Ayutthaya province. Thirty- six patient with diabetes and hypertension were selected as samples. Method of sample proportion was done by G*Power (Buchner, 2010). Inclusion criterior for sample selection were: on medication and non-complications. Data collection was done by interviews schedule which verified the content validity by 4 experts. The Content validity was 0.71 and reliability was 0.70. Statistics used ware percent, mean, standard diviation and paired sample t-test. Results indicated that blood sugar levels in the expermental group were significantly lower than the control group (p<0.01). Mean scores of health promotion behavior in the experimental group were higher than the control group (p<0.01). The highest level of satisfaction by applying Dharma way and Thai way was the experimental group ( =44.41,SD=10.25). The suggestion from this research is health promotion program by applying Dharma way and Thai way should be implemented continuously for the diabetes and hypertension patients. Furthermore, the kind of promotion program should be extended to other communities. 39 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 6 Leptospirosis in Si Sa Ket Province, Thailand; Trends and Control 41 Thawatchai Toemjai, Pramote Thongkrajai, Supaporn Wannapinyosheep and 42 Choosak Nithikathkul 43 44 Discovery of Opisthorchiasis in Chaiyaphum Province, Thailand Prasit Kachaiyaphum, P Chaleephom, Supaporn Wannapinyosheep, Bangon 45 Changsap and Choosak Nithikathkul 46 47 Prevention and Control for Melioidosis in Si Sa Ket Province 48 Phachara Kanjaras, Sauwanan Bumrerraj, Sutthisak Noradee and Choosak Nithikathkul Hand Foot and Mouth Disease: Prevalence and its 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 Incidence Rates and Geographical Distribution of Typhoid Cases in Kelantan, Malaysia from 2012 to 2015. Wira Alfatah Ab Ayah Ab Aziz, Kamarul Imran Musa and Fauziah Mohd 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 40 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Leptospirosis in Si Sa Ket Province, Thailand; Trends and Control Thawatchai Toemjai,1 Pramote Thongkrajai,1 Supaporn Wannapinyosheep2 and Choosak Nithikathkul1 1Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand E-mail: [email protected], [email protected], [email protected] 2Faculty of Science and Technology, Huachiew Chalermprakiet University, Thailand E-mail: [email protected] ABSTRACT Leptospirosis is an emerging public health problem in Asia and Thailand. Thailand annual reported leptospirosis cases increased from 3.30, 3.51, 5.31, 4.34 and 3.28 per one hundred thousand in Year 2015-2019 respectively. The dramatic phenomenal of epidemiological characteristics of leptospirosis in Thailand include a peak incidence in September and October in association with the rainy season. A majority of the cases were reported in the Northeast region. Flooding and heavy rainfall have been associated with numerous outbreaks of leptospirosis around the world. With global climate change, extreme weather events are expected to occur with increasing frequency and greater intensity and may potentially result in an upsurge in the disease incidence as well as the magnitude of leptospirosis outbreaks. The phenomenal of Sisaket risk area of leptospirosis, we examined the risk factors with mapping of leptospirosis in Sisaket endemic area. The outcome showed the risk factors of leptospirosis associate with working in the water area without waring boots [88.64%], wounded [45.58%] and stay long times [37.01%]. To reduce this disease burden, enhanced surveillance and further research is required to understand the environmental drivers of infection, to build capacity in emergency response and to promote community adaptation to a changing climate. KEYWORDS: Leptospirosis, Water Area, Risk Factors 41 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Discovery of Opisthorchiasis in Chaiyaphum Province, Thailand Prasit Kachaiyaphum,1 P Chaleephom,1,2 Supaporn Wannapinyosheep,3 Bangon Changsap3 and Choosak Nithikathkul1 1Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand, E-mail: [email protected],[email protected] 2Chaiyaphum Public Health Office, Chaiyaphum Province, Thailand 3Faculty of Science and Technology, Huachiew Chalermprakiet University, Thailand E-mail: [email protected], [email protected] ABSTRACT Fish-borne parasitic zoonoses or Opisthochiasis caused by Opisthorchis viverrini remains a major public health problem in many parts of Southeast Asia including Thailand, Lao PDR, Vietnam and Cambodia. The epicenter of this disease is located in north-eastern Thailand, where high prevalence coexists with a high incidence of cholangiosarcoma: a major primary carcinoma of the liver with a very poor prognosis. This phenomenal situation represents and performed in order to determine the prevalence of infection with Opisthorchis viverrini and other in Chatturat district, Chaiyaphum Province, Thailand. Data regarding socioeconomic characteristics and the health behavior of the population were thought to be useful in the development of a strategy to control and eradicate parasitic infections in a cost-effective manner. Stool samples were collected from 360 subjects including all age-groups more than 30 years. The prevalence of infection after intervention decrease from 36.63 % to 18.81%. The behavior of eat raw fish decrease after intervention from 28.71 % to 8.91%. The majority of detected parasites were Opisthorchis viverrini. These results indicate that Opisthorchiasis is still a public health problem in Chatturat district and that the disease is more restricted to populations of lower education. However, raw fish eating behavior and personal hygiene do not seem to play that crucial role in the transmission of the disease as previously thought. Further studies on social habits are required and might offer the possibility of targeted treatment and education of predisposed groups or communities. KEYWORDS: GIS, CCA, Opisthorchis Viverrini Infection 42 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Prevention and Control for Melioidosis in Si Sa Ket Province Phachara Kanjaras,1 Sauwanan Bumrerraj,2 Sutthisak Noradee1 and Choosak Nithikathkul1 1Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand E-mail: [email protected], [email protected], [email protected] 2Department of Community Medicine, Faculty of Medicine, Khon Kaen University, Thailand E-mail: [email protected] ABSTRACT Melioidosis causes a larger disease burden than many tropical diseases that are recognized as neglected, and so it should be reconsidered as a major neglected tropical disease. Burkholderia pseudomallei is a fatal infection diseases and the major causative agent for melioidosis. The infection may occur by three routes of exposure: skin inoculation, inhalation and ingestion. Melioidosis is often misdiagnosed because it causes wide range of symptoms which often mimic those of other tropical diseases. Melioidosis is an emerging infectious disease that is endemic in North-eastern Thailand. The highest morbidity rate was in North-eastern Thailand 13.32 /100,000 population. (morbidity rate was 5.21 /100,000 population; mortality rate was 0.18 /100,000 population) in 2017. Majority of infection were male 67.9%, and age 45-54 years old group. The most of the cases were Thai 98.8%, Agriculture 52.6% and illiterate level 32.6%. The implementation by classical prevention program already showed 266 melioidosis patients, with male 67.9%, agriculture 67.5% with underlying disease 40.8% in 2018. State of art by univariate analysis, the factors significantly associated with prevention and control of melioidosis in Sisaket province were illiterate level(p-value <0.001, 95%CI=.3532279 - 1.33766), poverty (p-value = 0.013, 95%CI= -1.654556 -.1943294), harmful drinking (p-value<0.001, 95%CI = 1.322405 - 3.061032), heavy smoking[;’; (p-value<0.001, 95%CI = -3.15749 -1.592358), use surface water (p-value<0.001, 95%CI = - 4.941643 -2.955131), outdoor area while eating (p-value<0.001, 95%CI = 1.078689 - 2.687892), having underlying melioidosis disease (p-value<0.014, 95%CI = -.5004897 - .0568003), and residence in the area of Sisaket lower for more than 20 year (p-value<0.012, 95%CI = -2.216069 -.2811972). Our finding indicated that the national prevention and control require health promotion programme for melioidosis. The another crucial point indicates that a geographical-socioecological investigation still need for surveillance program of melioidosis in Sisaket province, Thailand. The control requires an understanding and modification of the coupled human and natural variables that disease transmission in endemic communities. KEYWORDS: Burkholderia Pseudomallei, Melioidosis, Prevention and Control 43 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Hand Foot and Mouth Disease: Prevalence and Its Spatial Relationship with Vaccine Refusal Cases in Terengganu, Malaysia Mohamad Zarudin Mat Said,1 Kamarul Imran Musa,1* Xin Wee Chen,2 Wira Alfattah Abdul Aziz1 and Azmani Wahab3 1Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia E-mail: [email protected], [email protected]* and [email protected] 2Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, 47000 Sungai Buloh, Selangor, Malaysia E-mail: [email protected] 3Communicable Disease Control and Prevention Unit, Terengganu State Health Department, 20920 Kuala Terengganu, Terengganu, Malaysia E-mail: [email protected] *Correspondence Author ABSTRACT Hand, foot, and mouth disease (HFMD) is a global public health problem with pandemic potential. The progressive increment of HFMD cases in Malaysia needs further investigation to identify the pattern of disease spread including its proximity to vaccine refusal. We sought to estimate the prevalence of HFMD in Terengganu, map the geographical distribution of HFMD cases and vaccine refusal cases; and identify the spatial relationship between HFMD and vaccine refusal cases. This study employed data from the electronic communicable disease notification system (CDCIS E-Notification Version 2011.1) and vaccine refusal database maintained by the Communicable Disease Control (CDC) Unit and Maternal and Child Health Care (MCH) Unit, respectively. All cases recorded in the year 2016 provided by the Terengganu State Health Department, Malaysia. The census tract data containing the population demographics obtained from the Department of Statistics, Malaysia. Subsequently, the number of HFMD cases for each district were estimated using the points-in-polygons function. The spatial relationship between HFMD cases and vaccine refusal cases was tested using cross K-function test. A total of 811 HFMD cases was notified in 2016 with the overall prevalence at 80.2 cases per 100,000 population. Among all districts in Terengganu, the prevalence of HFMD ranged from 19.2 to 230.9 cases per 100,000 population, with the cases highly concentrated in Kuala Terengganu, Marang and Dungun. There was evidence of a spatial cluster of HFMD cases based on the Nearest Neighbour Index, r = 0.27 (p < 0.01). Moreover, the locations of HFMD cases were statistically and closely related to the locations of vaccine refusal cases (cross K test, p < 0.010). The prevalence of HFMD from year to year was high. HFMD cases and vaccine refusal cases formed clusters in the district with the high-density population. The proximity of HFMD cases and vaccine refusal cases formed clusters in Terengganu warrant further investigation. KEYWORDS: HFMD, vaccine refusal, spatial, prevalence, cluster 44 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Incidence Rates and Geographical Distribution of Typhoid Cases in Kelantan, Malaysia from 2012 to 2015 Wira Alfatah Ab Ayah Ab Aziz,1 Kamarul Imran Musa1 and Fauziah Mohd Noor2 1School of Medical Sciences, Universiti Sains Malaysia, Malaysia E-mail: [email protected], [email protected] 2Kelantan State Health Department, Ministry of Health, Malaysia E-mail: [email protected] ABSTRACT Typhoid is an endemic infectious disease in Malaysia, and the state of Kelantan has among the highest typhoid incidence rates. To estimate the typhoid incidence rates in Kelantan, Malaysia, and its sub-districts and to examine the geographical distribution of typhoid cases in Kelantan from the year 2012 to 2015. Data for Typhoid cases for the year 2012 to 2015 were provided by the Department of Health, Kelantan and consisted of coordinates and other covariates. The census tract data based on the 2010 Population Census came from the Department of Statistics, Malaysia. Incidence rates were calculated, and cluster analysis was performed using the Nearest Neighbour Index (NNI). A total of 290 confirmed cases of typhoid in Kelantan were notified from 2012 until 2015. The highest number of cases came from Kota Bharu district (31.4%) followed by Tumpat district (26.5%) and Pasir Mas district (25.9%). The highest incidence rate (IR) was recorded from Rantau Panjang sub-district (IR = 9.55 per 10,000 populations) in 2015 and the lowest IR was recorded from Batu Mengkabang in Kuala Krai (IR = 0.16 per 10,000 populations). Significant clusters were observed for each year in four years period. The most significant cluster was in 2015 with r value 0.41 and z value 19.30 using the NNI. Typhoid cases in Kelantan, Malaysia are heavily clustered in the urban area; Kota Bharu, Tumpat, Pasir Mas, Pasir Puteh and Tanah Merah which are also the area of high population density. KEYWORDS: Typhoid, Geographical Distribution, Incidence, Nearest Neighbour Index 45 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Fish Borne Parasitic Zoonosis Surveillance in Northeastern Thailand Ei Ei Phyo Myint1 Amornpun Sereemaspun2 Anuwat Phalee3 and Choosak Nithikathkul1* 1Tropical and Parasitic Diseases Research Unit, Graduate Studies Division, Faculty of Medicine, Mahasarakham University, Mahasarakham 44000, Thailand E-mail: [email protected] 2Nanomedicine Research Unit, Faculty of Medicine, Chulalongkorn University Bangkok, Thailand 3Faculty of Technology, Nakhon Phanom University, Thailand ABSTRACT Fish borne parasitic infections have been important public health problems in many parts of the world, particularly in countries of lower Mekong regions ie; Thailand, Lao People’s Democratic Republic (Lao PDR), Vietnam, Cambodia and Myanmar. Currently, many reports indicate that metacercariae of pathogenic tematodes are found in freshwater fish commonly small liver fluke, Opisthorchis viverrini; minute intestinal flukes (MIF); family of Heterophyidae. In Thailand, the epicenter of this disease is located in northeast region, where high a prevalence of opisthorchiasis coexists with a high incidence of cholangiocarcinoma (CHCA), a major primary carcinoma of the liver with a very poor prognosis. The purpose of this study is to investigate the surveillance characteristics of the geographic information for the prevalence of fish-borne trematode metacercariae in from Northeast of Thailand. A total 1222 samples of freshwater fishes (19 different species) were randomly collected from four locations of northeastern Thailand ie; Nikom KomeSoi, Sakon Nakhon, Sisaket and Kalasin. The collected fishes were examined for presence of the infective stage of the parasite, i.e., metacercariae by pepsin-HCl artificial digestion techniques. Detected metacercariae were observed and identified using a stereomicroscope and light microscope. A GIS database for the study of fish borne trematode metacercariae was implemented using Arc Map 10.5 software. Our study shows that fish-borne trematode metacercariae are found in a variety of fish species, relating to carcinogenic liver fluke, Opisthorchis viverrini; minute intestinal flukes, Haplorchis taichui; Haplorchis pumilio and Haplorchoides sp. A total of 571 freshwater cyprinoid fishes (8 species of fishes)were infected with fish-borne trematode metacercariae and overall prevalence is 46.72% (571/1222).The geographic information (latitude and longitude) associated with the infection rates among susceptible species of fresh water fish was recorded and built a fish borne geo-dataset for Geographical Information System (GIS) development .GIS can be useful in establishing strategies for the prevention of transmission of food borne diseases originating in infected fish found in water catchment areas. KEYWORDS: Opisthorchiidae; Opisthorchis viverrini; minute intestinal flukes (MIF); Heterophyidae, Geographical Information System (GIS) 46 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Geospatial Analyses of Thyroid Cancer Incidence in Kelantan Population Nur Fatihah Mohd Zuhdi,1 Wan Faiziah Wan Abdul Rahman,1,5* Tengku Ahmad Damitri Al Astani Tengku Din,2,5 Ahmad Filza Ismail,3,5 and Rosline Hassan4,5 1Department of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Malaysia E-mail: [email protected], [email protected] 2Department of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Malaysia, E-mail: [email protected] 3Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Malaysia, E-mail: [email protected] 4Department of Hematology, School of Medical Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia, E-mail: [email protected] 5Hospital Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia ABSTRACT Kelantan state recorded an increasing trend of thyroid cancer incidence with approximately 2.7% annual increment rate between 2006 and 2015. Geospatial analysis using Geographic Information System (GIS) provide graphical display of disease spatial pattern and distribution. Objective: To demonstrate GIS application in mapping and understanding spatial distribution of thyroid cancer cases in Kelantan. Methods: Patients registries were obtained and analyzed using ArcGIS software. Results: Total of 90 cases were mapped. Most cases concentrated at Kota Bharu district and 54 cases located within 10 km radius from public hospitals. Conclusion: Thyroid cancer cases in Hospital USM were clustered and have a good geographical access to public hospitals. KEYWORDS: Thyroid Cancer, Geographic Information System (GIS), Disease Mapping, Kelantan Population 47 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

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 Institute of Nutrition, Mahidol University, Thailand E-mail: [email protected], [email protected] ABSTRACT Listeriosis or listeria infection is a rare, serious, and high mortality disease, which is the third leading cause of death from foodborne illness in the US. This disease is characterized by non-specific symptoms with a long incubation period ranged from one to four weeks, as late as 90 days after exposure. Traditional surveillance investigations of listeriosis' clusters and food sources remained limited due to a small number of geographically dispersed case-patients, long incubation period, and difficulties in patients’ recall of food exposures. Therefore, a timely and publicly accessible surveillance tool may allow better food safety advice and education campaigns. People with listeriosis may search online through Google Trends (GT), which appears to be a potential tool web-based for real-time surveillance of outbreaks. The present exploratory study compares the spatiotemporal dynamics of listeriosis searches on GT, in comparison with CDC’s surveillance data at state- and county-level within the state of Texas. The GT’s query volumes of disease terms and symptoms were extracted from 2005 and 2018. Results from spatial and temporal analyses manifest noticeably similar patterns between the search frequency and the actual listeriosis incidence. Time series analysis of the Google Trends showed a lag period of -1 to -2 months with the CDC reported data. This study contributed that the online search data hold a promise in settings, where traditional surveillance data are restrained and lack timeliness may be alternated with online data access marked by widespread and prompt characteristics. The competence to briskly gather and disseminate information about outbreaks is useful for food safety regulators in identifying the food sources and minimizing the contamination. KEYWORDS: Listeria, Listeriosis, Google Trends, Spatial, Temporal, Foodborne Disease 48 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 7 Air Quality and Noise Impact Assessment of Dumpsite Biomining for 50 Occupational Health & Safety of Workers 51 Pawan Kumar Srikanth 52 The Role of Remote Sensing and GIS for the Study Of Environmental Aspects of 53 Dengue and Chikungunya Epidemic Transmission in Dakshina Kannada District, Karnataka state, India Naveenchandra 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 L. Gonzales and Oleg Shipin 49 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Air Quality and Noise Impact Assessment of Dumpsite Biomining for Occupational Health & Safety of Workers Pawan Kumar Srikanth Asian Institute of Technology, Thailand, E-mail: [email protected] ABSTRACT Municipal solid waste disposal is one of the major threats to the environment. In India, out of the 2120 dumpsites reported by the SPCBs/PCCs, only 21 dumpsites have been converted into Sanitary Landfill Sites. In order to remediate old dumpsites in India, Dumpsite Biomining has been carried out for the past few years. Dumpsite Reclamation or Mining is a process of excavating from operating or closed solidwaste landfills, and sorting the unearthed materials for recycling, processing, or for other dispositions. The assessment of air and noise quality during the biomining operation has not been thoroughly done and reported so far. Further, the effects of the air and noise pollution on the people working at site and the surrounding population have not been considered.. This study addressed ambient air quality parameters namely Particulate matter pollutants (PM2.5 and PM10) and gaseous pollutants which included Hydrocarbons, Carbon Dioxide, Carbon Monoxide, Oxides of Nitrogen and Sulphur during the biomining process at an old dumpsite near Chennai, India. The ambient noise monitoring was also done and compliance with Central Pollution Control Board standards was checked. It was clearly evident from the results that the ambient air quality is polluted due to emissions of Particulate matters i.e., PM10 and PM2.5. The ambient PM10 Concentrations were seen as high as 300 µg/m3 during dumpsite biomining operation which is about three times the standards prescribed by NAAQS, CPCB 2009 and Ambient noise levels exceeds the standards as well. Various mitigation measures such as air control barriers, high quality nose masks, spraying of water using hose pipes and proper management of work force were recommended to reduce dumpsite air pollution and to improve the health and safety of the workers. KEYWORDS: Air Quality Assessment, Occupational Health & Safety, Dumpsite Biomining, Noise Impact Assessment 50 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

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 Naveenchandra Bellare,1 Usha Naveen,2 Francis Andrade1 and Shannon Meryl Pinto1 1Vijnan Foundation for Innovation Research in Science and Technology, India E-mail: [email protected], [email protected], [email protected] 2Government P U College for Girls Udupi, India E-mail: [email protected] ABSTRACT The epidemics namely Dengue and chikungunya, an arboviral infections transmitted by Aedes aegypti and Aedes albopictus mosquitoes, is emerging as the most important mosquito-borne viral disease and it is a serious global public health problem. From 1991 onwards the epidemics of dengue and Chikungunya has been steadily increased to become very serious threat to public and has become essentially public health important in India. Recent trends indicates that there is a considerable increase in the frequency and severity of both chickungunya and dengue outbreaks with a spread to both urban and rural areas of Karnataka State, India Both Chickungnuya and Dengue is a major health issue in Dakshina Kannada district of Karnataka State, India and considerable numbers of people are afflicted by it. Historically, both epidemics were considered an urban disease; however, with the rapid urbanization and unplanned constructions, the incidence of dengue has increased in both towns and villages of the study area. The main reason for the increase in rural areas is due to rapid unplanned urbanization, with unchecked construction activities and poor sanitation facilities that contribute to the proliferation of the mosquitoes and the virus. Gaining the spatial knowledge to better understand the distribution of epidemic cases in association with dengue vector breeding sources, vector density in reference to space and time, and it is important to develop spatial databases, and to analyze this information with climatic, geo-environmental, entomological and socioeconomic risk factors for a given area. Geographical information systems (GIS) based systematic housing and population survey with aid of GPS is useful for collecting data for the study of factors affecting DF and its vector distribution. The role of remote sensing and GIS based techniques is an important datum of base line for formulating control activities, assessing changes in transmission in different environmental setup over time and determining resources to control prevalence, particularly in areas of high and moderate risk of epidemic transmission. Therefore, the present study has been designed for mapping the occurrences of disease epidemics and to study the environmental aspects both of dengue and chikungunya epidemics. GIS tool has been applied in a scientific manner for mapping the prevalence of infection and disease transmission status in the study area, and further, the environmental factors including manmade and geographical, climates, besides the factors related to host, parasite and vectors, demographic and developmental transitions was studied. GIS has been used for mapping of disease prevalence and analyzing epidemic situation and perhaps, assisting to controlling the epidemic situation at the village area of Dakshina Kannada District of Karnataka State. KEYWORDS: Remote Sensing, Geographical Information System, Dengue, Chickungunya 51 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Tuberculosis Spread by Air pollution: A Case of Selected Districts of India Vijay Kumar and Tulika Tripathi Central University of Gujarat, India, E-mail: [email protected] ABSTRACT In India every day almost 30 people die of tuberculosis, more than what we saw during COVID-19. Yet the research on linkages of tuberculosis with air pollution remains far less than COVID19 and air pollution. Tuberculosis being an infectious air born respiratory disease, will have strong correlation with quality of air. Air quality not only affects the spread of disease but will also worsen the survival chances of the tuberculosis patients. Last decade have seen further decline in the air quality in India be it big or small cities. Therefore the current research tries to estimate the spatial distribution and variation between air pollution and tuberculosis across the selected districts of India. The current paper will use NFHS-4 (2015-16) unit data at district level and air pollution data of the central pollution control for the districts with air pollution centers to establish relationship between them. Since PM10, SR, WD and PM2.5 affects the air quality index most and the particles which have their size less than 5 ug/m3 generally affects more to the lungs of the human body, and particles with larger size affects more to the windpipe of human, therefore we will use these variables from the air pollution data along with the self-reported tuberculosis data from NFHS-4 to run the analysis. The results of the study shows strong correlation of the spread of tuberculosis with high air pollution, where Delhi, Ahmedabad, Jodhpur coming out to be epicenters of the disease. This paper in its unique attempt to use GIS and statistical analysis in the epidemiological related research will contribute significantly to health services planning at the local level. KEYWORDS: Air-pollution, Tuberculosis, GIS, Statistical Analysis 52 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Green 3R Biotechnology Based On Eco- Engineering: Starting Up a Novel Freshwater Mangrove Ecosystem for Urban Health Arlene L. Gonzales and Oleg Shipin Asian Institute of Technology, Thailand, E-mail: [email protected] ABSTRACT Cities are the centers for growth and development but are creating problems in order to give way for this urban development. Many megacities are living under the pressure of urbanization problems including pollution and sanitation. This research on ecological engineering using freshwater mangrove addresses the problems on local AIT lake pollution for health concerns, global water pollution, natural habitat loss, climate change and greenhouse emissions and the typically low aesthetic appearance of cities. The pilot- scaling of these concept is at an early stage of implementation in a shallow lake at the Asian Institute of Technology which receives wastewater from adjacent restaurants containing a high amount of nitrogen and phosphorus. Along with engineering approaches such as multiple pipe, nutrient spreading and recirculation where the nutrient rich water can be utilized as a fertilizer by the macrophytes and mangrove trees. Our research is critically important because our research and development is about a city which create opportunities as wastes to riches in landscaping, cheaper food production within city area, combating climate change and ecological crises, providing health and well-being to community and nature alike, allows natural processes to create a foundation for healthier habitat for people and wildlife, providing business opportunities, sustainable and has the potential for adoption across the tropical world. As a result, our developed green 3R biotechnology will make our cities livable and sustainable and will help to compensate for lost ecosystems by creating a novel urban reality. KEYWORDS: Freshwater Mangrove, Eco-Engineering, Biotechnology 53 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 8 Analysis of COVID-19 Spreading in Wenzhou, China 55 Wenning Li, Jieping Zhou, Jianhua Gong and Lihui Zhang, Nasir Farid and 56 Adnan Arshad 57 58 COVID-19 Lock Down Affecting Mental Health; Review And Situation Ladda Pholputta, Mayuree Glubvong, Sucheera Amornmahaphun, Jariya 59 Jiranukul, Pramote Thongkajai and Choosak Nithikathkul 60 61 Visualization Analysis of COVID-19 to Respond to Infectious Disease Outbreaks 62 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 Lee, Nasir Farid and Adnan Arshad Covid19 Screening Technique Framework for University Students 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 54 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Analysis of COVID-19 Spreading in Wenzhou, China Wenning Li,1,2 Jieping Zhou,1,2 Jianhua Gong1,2 and Lihui Zhang, 3 Nasir Farid4 and Adnan Arshad5 1Aerospace Information Research Institute Chinese Academy of Sciences, China 2University of Chinese Academy of Sciences, China E-mail: [email protected], [email protected], [email protected] 3School of Geology and Geomatics of Tianjin Cheng Jian University, China E-mail: [email protected] ABSTRACT In December 2019, the first confirmed case of novel coronavirus-infected pneumonia was reported. As of March 13, 2020, a total of 504 cases were confirmed in Wenzhou, China, of these the individual data pertaining to 473 cases were published. Based on the epidemic data reported by the Health Commission of Wenzhou, we analyzed the characteristics of the development of the epidemic based on the Susceptible-Exposed-Infectious-Removed (SEIR) model. The incidence curves of COVID-19 in Wenzhou were constructed. The real time reproduction number of COVID-19 was calculated. The number of new confirmed cases is relatively flat before January 23, 2020. From January 24 to January 31, 2020, the number of new cases shows exponential growth. After the implementation of travel restrictions, contacts tracing and social distance measures the epidemic was controlled. KEYWORS: COVID-19, SEIR Modeling, Epidemic Spreading, Disease Control 55 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

COVID-19 Lock down Affecting Mental Health; Review and Situation Ladda Pholputta,1 Mayuree Glubvong,3 Sucheera Amornmahaphun,1,2 Jariya Jiranukul,1 Pramote Thongkajai1 and Choosak Nithikathkul1 1Tropical and Parasitic Diseases Research Unit, Faculty of Medicine, Mahasarakham University, Thailand E-mail: [email protected],[email protected] 2Mental Health Department, Roi-et Hospital, Roi-et, Thailand,E-mail: [email protected] 3Faculty of Nurse, Western University, Thailand ABSTRACT Major depressive disorder and generalized anxiety disorder are among the most commonly diagnosed mental illnesses in Thailand; both are associated with a high societal and economic burden. Treatment for major depressive disorder and generalized anxiety disorder consists of pharmacological and psychological interventions. Three commonly used psychological interventions are cognitive behavioral therapy, interpersonal therapy, and supportive therapy. The phenomenal of mental health situation and trend of seniors and adolescents to assess the effectiveness. The Situation review were investigated from Roi-et public health office, Roi-et province. The burden showed the mental disorder revealed the problem as a depression in targets represent the phenomenal in year 2016, 2017, 2018, 2019 and 2020 were 1.03,0.38, 0.18, 0.44 and 0.28 percentages respectively. Seniors mental health depression already showed the prevalence 0.03, 0.0.4, 0.036, 0.039 and 0.052 in year 2014, 2015, 2016, 2017 and 2018 consequence. In Era of COVID-19 outbreak affected by our reviews show there is a high prevalence of psychological health problems among senior and adolescents, which are negatively associated with the level of awareness of COVID-19. The crucial outcome from spatial analysis using GIS show the highest and lowest prevalence in Kaset Wisai district and Thung Kao Lunang district. the These findings suggest that the government needs to pay more attention to psychological health among adolescents while combating COVID-19. KEYWORDS: Mental Health, COVID-19, Psychological Health 56 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Visualization Analysis of COVID-19 to Respond to Infectious Disease Outbreaks Using Geoinformatics Techniques in Thailand: Opportunities and Challenges Haoran Zhang1, Tanita Suepa1, Lay Hong,2 Mot Ly2 and Phorn Nayelin2 1Geo-Informatics and Space Technology Development Agency (GISTDA), Thailand E-mail: [email protected], [email protected] 2Sirindhorn Center of Geo-Informatics (SCGI), Thailand E-mail: [email protected], [email protected], [email protected] ABSTRACT Coronavirus (Covid-19) has to date (March 29th 2020) infected over 81,000 Chinese citizens, mostly in Hubei Province, since it was first identified in December 2019. It has so far spread to more than 202 countries. On the 31th of March 2020, the total number of laboratory-confirmed COVID-19 cases reported by Ministry of Public Health (MoPH) in Thailand is 1524, of which 127 have recovered, 1388 are receiving treatment (17 cases are severe) in healthcare settings and nine have died. Recently Geographic Information System (GIS) provide epidemiologists and public health officers in the surveillance, monitoring and controlling of many infected diseases such as vector-borne diseases or human-to-human transmission diseases in many countries. Particularly it can provide the functions of collecting, updating and managing disease surveillance and related data, such as geographical factor and socio-economic. They are also pertinent to suit the needs of understanding the spatial spread or diffusion of disease outbreak and response for designing the prevention and control strategies. The major objective of this research is to apply the spatial epidemiology approaches for studying COVID-19 patterns and hotspots in Bangkok Metropolitan Region (BMR), Thailand. The specific objectives are to analyze the COVID-19 patterns in the terms of population and geographic distribution patterns; to detect the COVID-19 incidence rate under different months from January to July by using the spatial analysis. This research provides maps to view the pandemic situation of BMR and the provincial level of COVID-19 in particular heat maps and ring maps. KEYWORDS: Pandemic, COVID-19, GIS, Health, Spatial Statistics, Heat Map, hotspot, Incidence Rate, Ring Map 57 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatial Distribution and Time Series Analysis of COVID-19 Pandemic in Italy: A Geospatial Perspective Muhammad Farhan Ul Moazzam, 1 Tamkeen Urooj Paracha,2 Ghani Rahman,3 Byung Gul Lee,1 Nasir Farid4 and Adnan Arshad5 1Department of Civil Engineering, College of Ocean Sciences, Jeju National University, Jeju, South Korea, E-mail: [email protected], [email protected] 2Department of Pharmacy, Hamdard University, Islamabad, Pakistan 3Department of Geography, University of Gujrat, Gujrat, Pakistan 4Department of Geography, University of Peshawar, Peshawar, Pakistan 5College of Resources and Environmental Sciences, China Agricultural University, Beijing, China ABSTRACT The novel coronavirus pandemic disease (COVID-19) affected the whole globe, though there is lack of clinical studies and its epidemiological features. But as per the observation, it has been seen that most of COVID-19 infected patients show mild to moderate symptoms and they get better without any medical assistance due to better immune system to generate antibodies against the novel coronavirus. In this study the active cases, serious cases, recovered cases, deaths and total confirmed cases have been analyzed using geospatial technique (IDW) with the time span of 2nd March to 3rd June 2020. As on 3rd June the total number of COVID-19 cases in Italy were 231,238, total deaths 33,310, serious cases 350, recovered cases 158,951 and active cases were 39,177 which has been reported by the Ministry of health, Italy. March 2nd – June 3rd 2020 a sum of 231, 238 cases has been reported in Italy out of which 38.68% cases reported in Lombardia region with death rate of 18% which is high from its national mortality rate followed by Emilia-Romagna (14.89% deaths), Piemonte (12.68% deaths), and Vento (10% deaths). As per the total cases in the region, the highest number of recoveries has been observed in Umbria (92.52%), followed by Basilicata (87%), Valle d'Aosta (86.85%) and Trento (84.54%). The COVID-19 evolution in Italy has been particularly found in the major urban area i.e. Rome, Milan, Naples, Bologna and Florence. Geospatial technology played a vital role in this pandemic by tracking infected patient, active cases, and the recovered cases. Thus, monitoring and planning using geospatial technique is very important to control COVID-19 spread in the country KEY WORDS: COVID-19, Public health, Geospatial analysis, IDW, Italy 58 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Covid19 Screening Technique Framework for University Students Admission Waidah Ismail,1 Rosline Hassan,2 Rabihah Md Sum,1 Anvar Narzullaev1 and Azuan Ahmad1 1Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800, Nilai, Negeri Sembilan, Malaysia, E-mail: [email protected], [email protected], [email protected], [email protected] 2School of Medical Health Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150, Kelantan, Malaysia, E-mail: [email protected] ABSTRACT Coronavirus disease 2019 (COVID-19) is a global pandemic. As of March 21st, 2020 infected patients were present in 167 countries/regions around the world and there were more than 285,000 cases worldwide with nearly 12,000 fatalities. Clinical studies have shown that there was an association between COVID-19 and cardiovascular disease. Pre-existing cardiovascular disease seems to be linked with increased risk of death. The virus itself can directly induce myocardial injury, arrhythmia, acute coronary syndrome and venous thromboembolism. ( Masataka Nishiga et al., 2020) . Thus one of the main presenting symptoms of COVID-19 is increased in the heart rate. This was reported in patients without a fever or cough (Liu et al., 2020). Hence monitoring of heartbeat could be one of the mass screening method for detection of COVID disease in addition to the questionnaire. In Malaysia, university student admission would prompt a dedicated screening method in order to reduce risk of transmission among them. Students will be filter by a questionnaire to determine their risk whether they are categorized as high, medium and low risk. Only the students with high risk will be wearing the wrist band with sensor. In monitoring data of heart rate will be used to classify based on the normal rate and abnormal rate with data mining techniques. In the methodology, we will focus on the classification using K-Nearest Neighbour based on the confirmatory throat swab results in association with heart rate. Heart rate measurement for monitoring using K-Means will be used for student admission in USIM. The k-nearest neighbours (KNN) is one of the furthermost simple classification methods especially in analysing a huge matrix of features or providing recommendation (Tarus et al., 2018). When a new modest data is required to be categorized, KNN algorithm computes the distance values between the target record and another records and then these records have ordered according to the distance values (Badesa, 2014). In the final stage of this method, the first k-records will be chosen from the ordered list as the k-nearest neighbours. The following Pseudo code provides the normal stages of applying the KNN. KEYWORDS: Covid, Risk Management, K-Nearest Neighbours 59 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Candidate and Alternative Treatment for COVID- 19 by Using Thai Traditional Herbs Korakot Chaimongkhon, Choosak Nithikathkul and Pramote Thongkrajai Tropical and Parasitic Disease Research Unit, Faculty of Medicine, Mahasarakham University, Thailand E-mail: [email protected], [email protected] Abstract In the Era of 2020, most pandemic begins in the emerging hot spot of the world. During 2019, the Coronavirus disease 2019 (COVID-19) as a life-threatening disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is accounted as global public health concern. Currently no specific treatment for COVID-19. The is primarily supportive and the role of antiviral agents is yet to be established. However, there are no specific anti-COVID-19 drugs and vaccine until now. In the reviews and experiences, under the umbrella of complementary medicine and traditional medicine were considered of the alternative approaches in the treatment of the infection. Traditional herbs were suggested by Chinese medicine for prevention, treatment and rehabilitation. The 10 Chinese herbal recipes were already delivered out according to the literature review. The majority of herbal plants including Mormon-tea (Ephedrae Herba) Licorice (Glycyrrhiza glabra) Golden chumphon (Artemisiae annuae) Honeysukle (Lonicera japonica) and Ginger (Zingiber officinale). However, Thailand already showed the natural plants act as COVID-19 Candidate treatment such as Licorice (Glycyrrhiza glabra) Anchor (Terminalia bellirica) Saphanhom (Eupatorium chinense L.) Mother (Angelica dahurica). The crucial active ingredient for upper part of respiratory tract diseases were Quercetin, Andrographolide, Glyrrhizin, Kaempferol, and Curcumin. The main suggestion is that the Thai traditional herbs and natural product could be used alone and in combination. It is alternative treatment or traditional candidate prevention or treatment. Finally, further studies are more needed to clarify the mechanisms and the pathways, which will help to improve their clinical usefulness. KEYWORDS: COVID-19, Alternative Treatment, Traditional Herb 60 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Hospital Safety Index (HSI) for Covid-19 Pandemic Mitigation: A New GIS-Aided Framework Fahmi Charish Mustofa1 and Mufidatul Laily2 1STPN (Sekolah Tinggi Pertanahan Nasional), Indonesia, E-mail: [email protected] 2UMY (Universitas Muhammadiyah Yogyakarta), Indonesia E-mail: [email protected] ABSTRACT In recent statistics, Indonesia suffered a very serious situation, in term of quantity, on pandemic Covid-19 management. So research on hospital preparedness for such disaster is necessary. One of the tools to measure the readiness of hospitals in facing disasters using the Hospital Safety Index (HSI) from the World Health Organization (WHO). This study aims to determine the readiness of hospitals to deal with Covid-19 pandemic using HSI. Research location in Yogyakarta Province Indonesia. The population used are hospitals (community health centre or PKU) that own and manage by Muhammadiyah (NGO). These PKU’s certified (accredited) by The Komite Akreditasi Rumah Sakit (hospital accreditation committee or KARS). The approach used is descriptive qualitative. Sampling by purposive sampling. The sample used is the PKU’s officer in charge of the structural part of the disaster management system. The independent variable is the HSI from WHO, and the dependent variable is The PKU’s. Checklist refers to the HSI form from WHO. Each statement provides three types of answers, namely low, medium and high. All statements are a total number of low scores, medium scores and high scores using the HSI calculator. The results of the study are that hospitals with plenary accreditation have higher HSI scores so that they prepared to face disasters than hospitals that have not been plenarily accredited. KEYWORDS: Geographic Information System (GIS), Hospital Safety Index (HSI), Accessibility, Health Infrastructure 61 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Impact of Behavior, Healthcare and Socioeconomic Factors on Covid-19 Situation of Asean Countries Htet Yamin Ko Ko and Nitin Kumar Tripathi Asian Institute of Technology, Thailand E-mail: [email protected], [email protected] ABSTRACT This study will focus on spatial regression analysis of covid-19 impact on Asean countries (Cambodia, Brunei, Philippine, Thailand, Myanmar, Laos, Indonesia, Malaysia, Singapore) by using K-Nearest Neighbor Weighting method. Statistical Analysis on the selected regions will perform by focusing on total number of Covid-19 confirmed cases, total death cases of Covid-19, Socioeconomic Factors (Human Development Index, Life Expectancy Index, International Inbound Tourists Index, Population Density, Population at Urban, Behavior Factors (Male Smoker, Female Smoker) and Healthcare Factors (cardiovascular death rate and diabetes prevalence). The spatial regression analysis will perform with following regression models: Spatial Lag Model and Spatial Error Model. KEYWORDS: Spatial Regression, Covid-19, Socioeconomic Factors, Healthcare Factors, K- Nearest Neighbor Weighting Method, Spatial Lag, Spatial Error Model 62 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Technical Session 9 64 65 Predictive Models for Obesity in Non-Pregnant Women in Low- and Middle- 66 Income Countries Xiyuan Gao, Lincoln R. Sheets and Henok G. Woldu 67 Statistical and Spatial Analysis on Obesity Prevalence in United States of 68 America Nitin Kumar Tripathi and Ranadheer Reddy 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 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 Sookdee and Wannee Promdao 63 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Predictive Models for Obesity in Non-Pregnant Women in Low- and Middle-Income Countries Xiyuan Gao,1 Lincoln R. Sheets1* and Henok G. Woldu2 1University of Missouri, USA E-mail: [email protected], [email protected]* 2Center for Health Analytics for National and Global Equity, USA E-mail: [email protected] ABSTRACT Obesity, a risk factor for many non-communicable diseases in adults and their future children, is growing rapidly in developing countries. Predictive models for obesity are needed to guide public health policy and interventions. We compared the performance of two traditional statistical models and six machine learning models of obesity in non- pregnant women from 26 low-to-middle-income sub-Saharan Africa countries. Logistic regression with resampling had the best interpretation and performance, but classification and regression trees were better with very large or unbalanced datasets. These findings may be useful for accurately identifying women at high risk obesity, which can direct interventions and policy. KEYWORDS: Geospatial Analysis, Obesity, Developing Countries, Predictive Models, Machine Learning 64 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Statistical and Spatial Analysis on Obesity Prevalence in United States of America Nitin Kumar Tripathi and Ranadheer Reddy Asian Institute of Technology, Thailand, E-mail: [email protected] ABSTRACT In the past few decades, obesity has been among the most studied health issues globally. In the United States of America, studies have indicated that obesity rates are rising in most states with growing evidence that obesity in the USA is largely related to socio-economic and demographic factors. This study provides an overview and spatial analysis of obesity incidence at the state level in the United States of America. Although research has linked obesity prevalence to different economic factors, other variables are often excluded; hence this study will incorporate factors that are often omitted such as behaviours factors, literacy level and health outcomes. Data such as demographic, economic, behavioural and health were collected for the year 2017 from the USA Census bureau datasets, health and medical data from USA Centres for Disease Control and Behavioural Risk Factor Surveillance System (BRFSS). These data were analysed using cluster Hot spot analysis tool (Getis-Ord GI), Spatial Autocorrelation (Global Moran's I) to assess the role of location in health analysis. Pearson correlation two-tailed test and Bivariate Local Indicator of Spatial Association (LISA) were used to determine statistical correlation and spatial relationships between variables and location. Analysis indicated that obesity rates are higher in southeast states of the U.S. and confirmed that there is the statistical and spatial relationship between socio-economic, demographic. However, behavioural factors and health variables have a positive relationship between the factors, however, few specific factors have low correlation mainly due to the outliers. This study is focused on to analyse the spatial incidence of obesity and the spatial relation between factors influencing obesity. For related research, outliers must be considered. KEYWORDS: Obesity, Spatial Autocorrelation, SPSS Pearson Correlation, Hot Spot Analysis and Bivariate LISA 65 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Effects of Telemedicine in Obese Patients with Non-Alcoholic Fatty Liver Disease: A Systematic and Meta-Analysis Surasak Saokaew, Sukrit Kanchanasurakit, Chayanis Kositamongkol, Kanyanat Chaiyo, Thirada Jirapisut, Narakorn Aomsin, Pit Leewongsakorn, Nathorn Chaiyakunapruk and Pochamana Phisalprapa University of Phayao, Thailand, E-mail: [email protected] ABSTRACT Telemedicine is one of the interventions that increasing role in current healthcare strategy. However, very little is known in the efficacy of telemedicine on clinical outcomes in high-risk group of non-alcoholic fatty liver disease (NAFLD) patients such as those with obesity. This study was conducted using systematic and meta-analysis approach to determine the effects of telemedicine versus usual care for the management of obese NAFLD patients. The searches were performed from the inception to April 2020 with no language restriction on the following databases: Cochrane CENTRAL, ScienceDirect, PubMed, and Scopus. Randomized controlled trials and non-randomized controlled trials that assessed the effects of telemedicine in obese NAFLD patients were included in this analysis. The outcomes of interest include alanine aminotransferase (ALT), aspartate aminotransferase (AST), triglyceride, body mass index, and high-density lipoprotein which are reported in weighted mean difference along with 95% confident interval. A total of 4 studies were included in the systematic review, although one was excluded from the meta-analysis due to an inappropriate group-comparison. Two hundred and eighty-five NAFLD patients, in total, were included in the meta-analysis. Mean age of the patients in telemedicine and usual care groups were 51.78±5.91 and 47.30±8.14 years, respectively. More than half of the patients were women (59%). Telemedicine significantly decreased ALT level compared with usual care (weighted mean difference = -18.93 [95% confidence interval: -25.97, -11.90], I2 = 53.8%) and significantly decreased AST level (weighted mean difference = -10.24 [95% confidence interval: -13.43, -7.05], I2 = 0.0%). Telemedicine did not show the significant benefit in the rest outcomes. Telemedicine significantly reduced AST and ALT in obese NAFLD patients when compared with usual care. Further long-term studies with clinical endpoints are needed to determine the best characteristic of telemedicine and confirm their benefit. KEYWORDS: Telemedicine, Non-Alcoholic Fatty Liver Disease, NAFLD 66 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

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 1College of Allied Health Sciences, Suan Sunandha Rajabhat University, Samut Songkram Provice, Thailand, Email: [email protected] Abstract The purposes of this research were to study 1) level of food consumption behavior of the first-year students of College of Allied Health Sciences Suan Sunandha Rajabhat University, 2) level of knowledge on food consumption of the first-year students of College of Allied Health Sciences Suan Sunandha Rajabhat University, 3) the relationship between food consumption and behavior of food consumption, and 4) predisposing, enabling, and reinforcing factors related to the behavior of food consumption of the first-year students of College of Allied Health Sciences Suan Sunandha Rajabhat University. This research was quantitative research that samples were 112 undergraduate freshmen who studied at College of Allied Health Sciences Suan Sunandha Rajabhat University. A research tool was a survey with multiple questions proved by the descriptive statistics such as percentage, mean, standard deviation, Pearson’s correlation, and multiple regression analysis. The results found that 1) according to the frequency of food consumption behavior, the first- year undergraduate students were sometimes in overall consumption, 2) the students had good food consumption knowledge, 3) food consumption was related to the behavior of food consumption, and 4) enabling factors related to food consumption was “buying food from markets to prepare by self” at significance level .05. The research also recommended that the university should facilitate the students in food consumption, food knowledge, and nutrition. Keywords: Behavior/Food Consumption/Nutrition 67 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Prevalence and Associated Factors of Insomnia among Thai Adolescents in Samut Songkhram Rasornradee Pakpakorn,1 Chanokporn Panjinda,2 Papawee Sookdee3 and Wannee Promdao4 College of Allied Health Sciences, Suansunandha Rajabhat University, Samut Songkhram, Thailand, E-mail: [email protected],1 [email protected],2 [email protected],3 [email protected] ABSTRACT The objectives of this research were to prevalence and factors that related to insomnia of Thai adolescents in Samut Songkhram province. The study subjects were male and female 173 students. Both of them age 10-18 years old. The data of study subjects was collected by general information questionnaire, Suanprung stress test and Thai-PSQI questionnaire. The data were analyzed in term of percentage, mean and standard deviation. The results showed that 4 5 . 1 percent of male and 5 4 . 9 percent of female adolescents in Samut Songkhram province who had insomnia 8 .7 percent. Factors related insomnia among Thai adolescents in Samut songkhram included; the personal, health, environmental, and social of adolescents; Height, Domicile, Psychiatric disorder and playing the game before going to bed. Factors mentioned above shows that related insomnia among Thai adolescents in Samut Songkhram were significantly at p-value 0.05. The result of Sleep quality showed that related insomnia among Thai adolescents in Samut Songkhram were significantly at p- value 0 .0 1 . The suggestions from these study results include 1 . Could be collected data of the bigger sample size and more study the related other factors of adolescents’s insomnia in Samut Songkhram province. 2 . Could be study in qualitative research to find out the direct factors of insomnia in adolescents. 3 . Could be more study about information and method to decrease insomnia of adolescents in Samut Songkhram province. KEYWORDS: Insomnia, Adolescents, Prevalence, Samut Songkhram 68 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

POSTER 69 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Child Malnutrition Mapping in India Using Spatial Analysis Ranadheer Reddy and Nitin Kumar Tripathi Asian Institute of Technology, Thailand, E-mail: [email protected] ABSTRACT India is facing a serious threat of under-five year’s child malnutrition despite of 50% increase in GDP since 1991 and yet the status of nutrition in India is worsening. There is still a challenge to improve malnutrition condition in India. The national average of malnutrition levels shows a large interstate variation across districts of India. Using the National Family Health Survey 3 and 4 (2006–16), this study examined the spatial variation in malnutrition and the influencing determinants across states and districts of India. Spatial correlation and regression tools was used to examine the spatial dependency and spatial clustering of child malnutrition and its determinants, which were adopted from UNICEF conceptual framework. There is an improvement in reduction and underweight prevalence over the past decade but was at a very low and slow rate thus, not a significant improvement. Wasting on the other hand had an additional 10% increase of the states suffering from this form of malnutrition. The very high prevalence of stunting wasting and underweight were occurring in 236, 472 and 370 districts. The univariate Moran’s I statistics was 0.62, 0.46 and 0.71 for stunting, wasting and underweight respectively suggesting spatial heterogeneity of malnutrition in India. The hotspot patterns of malnutrition prevalence was not same for all the indicators, five states contribute more than 80% of hotspot districts (Uttar Pradesh, Madhya Pradesh, Bihar and Jhar Khand). The spatial error model suggests that maternal health such as low mother BMI, anemia during pregnancy, absence of antenatal care, early marriage and pregnancy and lack of improved sanitation facilities in household were found as the most common and influencing factor on the occurrence and prevalence of malnutrition in India. The Bivariate LISA explains that the geographical pockets where the maternal care is low, malnutrition prevalence is high and mainly clustered in west, central and east districts. KEYWORDS: Spatial Autocorrelation, Stunting, Wasting, Underweight, Spatial Regression 70 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Spatio - Temporal Analysis on Diabetes at Sub - District level in Saraburi Province, Thailand Pissanupong Mahamontree, Dr Nitin K. Tripathi, Randheer Mandadi ABSTRACT In today’s world, the number of diabetes is increasing. From this study, the results are very beneficial for the government sector to improve the plan for decreasing the diabetes patients in Saraburi. Moreover, the results illustrate that specific and immediate intervention are needed at the hotspot areas, where diabetes is prevalent. The hotspot generation will replace the old-fashioned implementation of usual and unsucessfull methods. Although, analyzing the risk factors for diabetes always had given advises regarding some behaviours that increase risk such as eating an unhealthy diet, physical activity, overweight and obese. The key actions should be followed by the government is to create the linking between a healthy environment, better diagnosis, treatment, and better data by WHOs suggestion. For this research, Spatio-temporal Analysis of Diabetes in Saraburi, can answer the ways of improving better data. The results are shown as spatial pattern map in two principles, hotspot and cold spot sub-district, from information that separates by gender and deep information like education, age and job are generated for analysis in the areas that are affected by diabetes as a key factor as shown in this paper. This result for the research can give better information about diabetes in Saraburi, then the government can plan to improve the healthy environment from key diabetes reasons area and to develop a better diagnosis for Thai doctors. Analysis, examples, and comparison in graph presentation are included in the research. 71 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Development Analysis for Waste 4.0: Transforming Urban MSWM under Industrial Revolution 4.0 focusing Circular Economy Abhishek Kanojia1, Professor C. Visvanathan2 1,2 Environment Engineering and Management, School of Engineering and Technology, Asian Institute of Technology Email: [email protected]; [email protected] ABSTRACT Rapid urbanization with a high rate of production and consumption is affecting the basic services related to human society today. Waste management is one such crucial sector that is now gaining a serious concern. The Urban dwellers and decision-makers are now working to keep the waste resource in the consumption cycle as much as possible. The major transformation tools proposed by the global community are, change in the economic model (Circular Economy, CE) and technological transition based on the internet (Industry 4.0, I4.0). Among all industrial approaches, MSWM services are kept at the lower priority for any such transformation. To overcome such gaps this research work on three major objectives focusing on such cities which are in transformation state for a smart city. The first research objective is about the development of the technological trajectory of MSWM under the shadow of I4.0. The second objective analyzes the measures of the circular economy into the MSWM. The outcome of the research work is the development and analysis of the readiness index of the MSWM sector for transformation into Waste 4.0 focusing CE. This research evaluates the readiness of the urban local bodies (ULB), to upgrade its MSWM by I4.0 technologies and CE. The research work proposes a novel concept of Waste 4.0, which is an amalgam of I4.0 technical intervention followed by CE measures into the MSWM. Many published research proposed that the I4.0 and CE concepts will be the key enablers of sustainability in various business and service industries. In this research, MSWM is considered as a potential segment of transformation. But to measure this transformation, ULBs lagging the assessment tools. Taking Waste 4.0 as an ultimate target, this research developed an assessment tool to measure the ULB readiness for the transformation of their MSWM system into Waste 4.0. This tool consists of eight determinants followed by different criteria elements to analyze the I4.0 and CE intervention into the MSWM system of ULB. After developing the Waste 4.0 assessment tools, to validate the outcome, three ULB of Indore, Jabalpur and Sagar cities of India were selected. As a result, the readiness index for I4.0 in MSWM system, in Indore, Jabalpur and Sagar are 0.72, 0.44 and 0.14 respectively. While the readiness index of CE focus, in Indore, Jabalpur and Sagar are 0.65, 0.29 and 0.13 respectively. This brings the final status of Indore, Jabalpur, and Sagar ULB with “Experienced”, “Potentialist” and “Hesitator” tag for I4.0 intervention respectively. While “CE fast adopter”, “CE Beginners” and “Business as usual” tags for CE focus in MSWM are obtained by Indore, Jabalpur, and Sagar ULB respectively. Keywords: Industry 4.0, circular economy, municipal solid waste management, urban local body. 72 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand

Authors Index Faizul Akmal Bin Abdul 5 Rahim 5 45 A. R. Jamalludin 24 Farihan Yatim 51 A.Y.K. Perera 7 Fauziah Mohd 2 Abdul Rashid 9 Francis Andrade 58 Abdul Rauf Abdul Rasam Ghani Baloch 9 Adnan Arshad 18, 36 Ghani Rahman 57 Abhishek Kanojia 55, 58 Hans Overgaard 64 Afiqah Syamimi Masrani Haoran Zhang 6 72 Henok G. Woldu 62 4 48 6 Ahmad Filza Ismail 14, 32, 47 Hitakshi Sharma 56 Ahmad Sufril Azlan 37 Htet Yamin Ko Ko 67 Mohamed Hung Nguyen Ngoc 55 55 Ahmad Syaarani Yasin 4 Indrajit Pal 67 7 Amit Prasad Nayak 21 Jariya Jiranukul 7 4, 44, 45 Amornpun Sereemaspun 46 Jatuporn Ounprasertsuk 17 66 Anuvat Roongpisuthipong 8 Jianhua Gong 30 8, 27, 38, 39 Anuwat Phalee 46 Jieping Zhou 60 56 Anvar Narzullaev 59 Jirawat Sudsawad 57 55 Aree Sanguanchue 29, 39 K.G.S. Kalansooriya 64 20 Arlene L. Gonzales 53 K.K.S.A. Withanage 17 20 Aziah Ismail 14 Kamarul Imran Musa 24 7 Azian Harun 14 Kantapong Prabsangob 32 56 Azliehanis Ab Hadi 37 Kanyanat Chaiyo 7 44 Azmani Wahab 44 Kingkan Iamnet 22 Azuan Ahmad 59 Klarnarong Wongpituk 5 Bangon Changsap 42 Korakot Chaimongkhon 5 Byung Gul Lee 58 Ladda Pholputta C. Visvanathan 72 Lay Hong Chairat Uthaipibull 2, 3 Lihui Zhang Chakkaphong Namwong 23 Lincoln R. Sheets Chanida Suwanprasit 23 Linlalee Siriwilailerdanun Chanokporn Panjinda 68 Luckwirun Chotisiri Chayanis Kositamongkol 66 Luethaipat Pimonsree Chitrini Mozumder 7 M. A. Edre Choosak Nithikathkul 2, 3, 11, 12, M.A.S.T Fernando Chopaka Chandham 13, 26, 33, Ebtisam Ali Mohammed 34, 41, 42, Maya Mazuwin Yahya Ei Ei Phyo Myint 43, 46, 56, 60 Eltayeb Ibrahim Ahmed Mayuree Glubvong Wadi 28 Fahmi Charish Mustofa 22 Mihirini Hewavitharane 46 Mohamad Zarudin Mat Said 22 Mohammed Mahmoud 61 Ibrahim Musa Mohd Amierul Fikri Mahmud Mohd Hatta bin Abdul Mutalip 73 7th International Conference ONLINE on HEALTHGIS 2020 Geo Intelligence for Smart Healthcare February 25-26, 2021, Thailand