The Application of Geographic Information System (GIS) for Finding the Risk Area of Dengue Virus Infection

Authors

  • Chanon Naijitra Medical Technology Laboratory, Thammasat University Hospital, Pathum Thani Province, Thailand

Keywords:

Dengue virus, Geographic information system, Land use, Medical technology

Abstract

Dengue fever (DF) and Dengue hemorrhagic fever (DHF) are the main problems of worldwide public health caused by the Dengue virus (DENV). The most effective way to control the disease is to destroy the Aedes mosquito’s habitat by using the DF and DHF data in the community. In Thailand, dengue fever and dengue hemorrhagic fever is a disease that must be reported for monitoring and outbreak control. However, some people are misdiagnosed as DENV infection following the Department of Medical Services guidelines. So, the objectives of this study are to find the land use that poses a risk of being infected by Dengue virus and to analyze the relationship between the type of land use and the DENV infection rate. This study is a retrospective study evaluating the DENV screening test results of Thammasat University Hospital between 2017 and 2022 and Pathum Thani Province land use data year 2021 of the Department of Land Development. The data of people who do not have addresses in Pathum Thani Province were excluded. The geographic information system (GIS) was used to analyze the data. The Pearson correlation tested the correlation between DENV infection rate and land use. The result illustrated that the urban area has the highest number of DENV screenings, and the agricultural area has the highest infection rate, in terms of the correlation, land use that has correlated with infection rate is integrated farm/diversified farm (r = 0.2584, p-value = 0.0462), and mine/pit (r = 0.4495, p-value = 0.0003), respectively. The study concluded that the GIS and medical laboratory results can be integrated to analyze the high-risk areas of DENV infection outbreaks and used as supporting data for disease control, prevention, and multidisciplinary health management policy.

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Published

2024-12-26

How to Cite

1.
Naijitra C. The Application of Geographic Information System (GIS) for Finding the Risk Area of Dengue Virus Infection. วารสารเทคนิคการแพทย์ [internet]. 2024 Dec. 26 [cited 2025 Dec. 7];52(3):9225-39. available from: https://he01.tci-thaijo.org/index.php/jmt-amtt/article/view/268667

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