Publication: A geographic information system for estimating the prevalence of helminthiasis infections in the North-Eastern Thailand
Issued Date
2011-12-01
Resource Type
Other identifier(s)
2-s2.0-84865679780
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
32nd Asian Conference on Remote Sensing 2011, ACRS 2011. Vol.2, (2011), 1170-1175
Suggested Citation
Vladimir Buntilov, Suwannachai Wattanayingcharoenchai, Choosak Nithikathkul, Thitima Wongsaroj A geographic information system for estimating the prevalence of helminthiasis infections in the North-Eastern Thailand. 32nd Asian Conference on Remote Sensing 2011, ACRS 2011. Vol.2, (2011), 1170-1175. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/11760
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
A geographic information system for estimating the prevalence of helminthiasis infections in the North-Eastern Thailand
Other Contributor(s)
Abstract
Human helminthiasis parasites are known to be endemic in several countries in South-eastern Asia. In particular, Opisthorchis viverrini (OV) Liver fluke possesses a considerable health threat to human population in North-eastern and Northern Thailand. The goal of the present investigation is to estimate the distribution of OV Liver fluke in humans for 20 provinces in North-eastern part of Thailand (known as Isan region). As a result, an intuitive graphical representation of the spatial distribution of OV parasite across North-eastern part of Thailand has been built. In addition, the prevalence of the parasite has been estimated for various administrative divisions of the country. The current project utilises the prevalence distribution data of Opisthorchis viverrini helminth, received from a country-wide epidemiological study conducted by The Ministry of Public Health of Thailand (MOPH). The associated geographical data from MOPH as well as other publicly available spatial data were imported in a specially designed Geographical Information System (GIS). Major procedures of the project were implemented using open-source software programs. The developed GIS was used to estimate the number of infected people on a region, province (changwat), district (amphoe) and sub district (tambon) basis. Initial estimates show that the overall prevalence of helminthiasis infection under study in North-eastern Thailand may exceed 7 million people, while the average infection rate constitutes 26%.