Main Article Content
GIS, HFMD, Hotspot, Spatial Analysis
Purpose of the study: The main objective of this study was to identify the hotspot area of HFMD reported cases within two local councils, namely, Kuching North City Council and Kuching South City Council, by using Geographic Information System (GIS) technique.
Methodology: Two methods, namely, Getis-Ord GI* and Thiessen polygon, were used in this study. Getis-Ord GI* statistics was used to identify the hotspot areas and Thiessen polygon method was used to create an influencing boundary for each village. The analysis was conducted from 2014 to 2018 on the basis of the cases reported and registered with Sarawak Health Department by using ArcGIS Software.
Main Findings: The hotspot areas were confined to the Western area of Kuching North City Council, which is located at Rampangi Fasa II and Semariang Pinggir villages. Subsequently, in Kuching South City Council, there were two villages were identified as hotspot areas at Kampung Stampin and Kampung Stutong Baru.
Applications of this study: The findings from this study will help local authorities, public health officers, epidemiologists, and the public to identify the hotspot areas of HFMD occurrences and therefore, the information obtained in this study will be of a great help to them in coming up with the necessary mitigation plan to control this disease before it spreads to other locations.
Novelty/Originality of this study: Previous studies conducted in Sarawak on HFMD were based on divisional boundaries, which were too broad to be used as a guide for mitigation planning. Therefore, the outcome from this study, which was based on the village boundary, provides more information on the hotspot areas of HFMD at a micro level.
Department of Statictics Malaysia. (2017). Buku Tahunan Perangkaan Sarawak 2017. Putrajaya: Department of Statictics Malaysia.
Farhana Syed Nokman. (2019). New Strait Times. Retrieved March 19, 2019, from 51,147 cases of HFMD diagnosed in Malaysia this year: https://www.nst.com.my/news/nation/2018/08/401899/51147-cases-hfmd-diagnosed-malaysia-years
Felix Chuo Sing Tiing. (2008). A Simple Deterministic Model for the Spread of Hand, Foot and Mouth Disease (HFMD) in Sarawak. Second Asia International Conference on Modelling & Simulation, 947-952.
Justin et al. (2017). What is Hotspot Area. The American Journal of Tropical Medicine , 270.
Kwai Peng. (2003). Epidemic Hand, Foot and Mouth Disease Caused by Human Enterovirus 71, Singapore. Emerging Infectious Diseases, 78.
Lin Zhu et al. (2015 ). The Impact of Ambient Temperature on Childhood HFMD Incidence in Inland and Coastal Area: A Two-City Study in Shandong Province, China. International Journal of Environmental Research and Public Health, 8692.
Ministry of Health Malaysia. (2007). Garis Panduan. Retrieved January 3, 2019, from Ministry of Health Malaysia: http://www.moh.gov.my/images/gallery/Garispanduan/Guidelines%20HFMD%202007.pdf
Ministry of Health Singapore. (2015). Health Hub. Retrieved January 28, 2019, from Hand, Foot & Mouth Disease: Prevention and Protection: https://www.healthhub.sg/live-healthy/631/HFMD
Noraishah et al. (2016). Use of GIS Mapping for HFMD Cases in Sarawak, Malaysia. International Journal of Advanced Remote Sensing and GIS, 1937-1945.
Noraishah M Sham et al. (2014). Temporal and Spatial Mapping of Hand, Foot and Mouth Disease in Sarawak, Malaysia. Geospatial Health, 503-507.
Ratchaphon Samphutthanon. (2014). Spatio-Temporal Distribution and Hotspots of Hand, Foot and Mouth Disease (HFMD) in Northern Thailand. International Journal of Environmental Research and Public Health, 312-336.
Thomas J. Stopka. (2014). Use of Spatial Epidemiology and Hot Spot Analysis toTarget Women Eligible for Prenatal Women, Infants,and Children Services. Supplement 1, 2014, Vol 104, No. S1|American Journal of Public Health, 183-188.
Yan Zhang. (2010). An emerging recombinant human enterovirus 71 responsible for the 2008 outbreak of Hand Foot and Mouth Disease in Fuyang city of China. Virology Journal, 94.
Zaria Tatalovich. (2008). A Comparison of Thiessen Polygon, Kriging, and Spline Models of Potential UV Exposure. Cartography and Geographic Information Science, 217-231.