The Application of Geographic Information System in Dengue Haemorrhagic Fever Risk Assessment in Samut Songkhram Province, Thailand

Abstract

Samut Songkhram is one of popular tourist destinations in Thailand; however, it is the very high risk province of the dengue hemorrhagic fever (DHF) outbreak. Therefore, it is essential and urgent to monitor the tourists within the areas from the DHF. This research aimed to study the application of Geographic Information System (GIS) in DHF risk assessment and to study factors influencing of this province. The researcher collected 11 factors data including population density, household number, elevation, temperature, humidity, rainfall, residential areas, drainage areas, agricultural areas and man-made and natural water resources from related organizations to analyze relationship with DHF patients in the province. With the Pearson's Correlations statistic, there were four main factors relating the DHF incidence including population density, household number, residential areas and man-made water resources. According to the created GIS model of DHF risk assessment, it was discovered that 9% of the total areas were the very high risk areas, 23.89% were the high risk areas, 13.14% were the moderate risk areas, and 53.97% were the low risk areas. At a district level including Muang Samut Songkham, Bang Khonthi and Amphawa, it was found that Muang Samut Songkham was the only very high risk area covering 79.78km 2 . At a subdistrict level, Mae Khlong and Lat Yai were the very high risk areas. The factors influencing showed residential areas. After applying the GIS in DHF risk assessment, it was demonstrated that the GIS was one of an effective tools for DHF surveillance.

Comparison of Landmark- and Outline-Based Geometric Morphometrics for Discriminating Mosquito Vectors in Ratchaburi Province, Thailand

“…Mosquito control is one important strategy for controlling mosquito-borne disease epidemics [ 6 – 8 ]. However, since different species of mosquitoes have different characteristics, such as behaviors, breeding sites, and epidemiologies, a knowledge of which vector species are present in the area [ 9 , 10 ] and the epidemiological patterns of disease transmission is required to ensure the planned control method is appropriate [ 11 , 12 ]. The It is can be challenging to identify mosquito vectors in the field based on morphological features because many species are cryptic species, sibling species, or isomorphic species with similar morphologies [ 13 ].…”

Insecticide Susceptibility of Aedes Aegypti Larvae to Bacillus Thuringiensis Israelensis and Juvenile Hormone in Dengue Epidemic Areas of Samutsongkhram, Thailand

“…DHF is also one of Thailand's main health problems [4]. The ratio of infection in Thailand is 219.46 per 100,000 people and the death ratio is at 0.10 (from the report of the Bureau of Vector Borne Diseases, Ministry of Public Health, Thailand), and Samutsongkhram Province has one of highest morbidity rates among DHF outbreak areas [5].…”

Measuring the dengue risk area using Geographic Information System: a review

“…Another study conducted in Thailand also stated that GIS application was one of the effective tools to control dengue. Where the results obtained from the three districts studied, Muang Samut Songkhram district was the only area which was at very high risk which covered 79.78 km2 and at the district level were areas of high risk and Lat Mae Khlong Yai 16 , GIS applications in the medical world contributed vast assistants, especially in the case visualization, since it was one of the important tools in spatial epidemiology to assist the identification and spatial analysis of the target disease intervention 4 . In the analysis of risk factors by the necessary GIS data completeness, data collected were usually derived from secondary data obtained from a particular agency.The completeness of the data will support the analysis process and describe the actual conditions.…”