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

Abstract

Background: Dengue is a viral infection transmitted by mosquitoes that continue to be a significant health challenge in many tropical and subtropical countries. So far, Geographic Information System (GIS) in the health sector contributed to disease prevention, especially for visualization of the disease case. GIS is one of the important tools in spatial epidemiology to assist identification and spatial analysis of the target disease intervention. This article summarizes the use of GIS to assess risk factors for DHF, and how efficient the use of GIS in facilitating the improvement of disease surveillance systems for the prevention and control of diseases.
 Methods: This paper was developed using a descriptive approach, conducted in September and December 2019. The primary data used in this research were from ScienceDirect databased by collecting some studies that assess the risk of dengue using GIS applications.
 Results: The results of reviews of research in several countries which use GIS applications in assessing the risk of dengue incidence, ie, in Swat, Pakistan evaluated the impact of the slope, population density, and the distance to the river through GIS applications. Then in Seremban and Putrajaya, Malaysia implemented a participatory approach to identify the spatial risk of dengue in the community. Research in Lahore, Pakistan, analyzed the risk of dengue. Study in Colombia conducted GWR to evaluate the association between socioeconomic factors and the environment with dengue fever incidence. Recently, research in Taiwan integrated GIS to detect the correlation between population density and the possibility of human contact with mosquitoes.
 Conclusions: Based on the results of the review, it can be drawn that asses the dengue risk with GIS applications is highly relevant because it can determine the factors which affect the incidence of dengue. Besides, it can determine the spatial correlation between risk factors and the incidence of dengue, as well as to evaluate the impact of the dengue occurrence.
 
 
 
 
 

Hazard Level of Dengue Haemorrhagic Fever in Gorontalo Regency: Prediction of Spatial Distribution with AHP-GIS Integration

“…Penggunaan analisis spasial dalam sistem informasi geografis (SIG) dalam dunia kesehatan menjadi salah satu teknik utama untuk mengidentifikasi asosiasi spasial dari beberapa faktor dan telah digunakan oleh beberapa peneliti di seluruh dunia (Franch-Pardo et al, 2020;Murad, 2018;Musa et al, 2013;Nakhapakorn & Tripathi, 2005;Saran et al, 2020;Sulistyawati, 2020). Integrasi AHP-SIG juga telah banyak diterapkan dalam menganalisis distribusi spasial wahab penyakit, seperti DBD (Ajim Ali & Ahmad, 2018;Nazri Che et al, 2016), Malaria (Bhatt & Joshi, 2014Rakotoarison et al, 2020), virus zika (Li et al, 2017).…”

Dengue hemorrhagic fever vulnerability assessment in Gorontalo Regency using analytic hierarchy process and geoinformation techniques

“…Spatial analysis can identify DHF clusters that are larger than what would be expected based on the underlying environmental characteristics, climatology, and demographic structure. The integration of the analytical hierarchy process (AHP) method in GIS to solve public health concerns has gotten a lot of interest from researchers [8], [9], [12], [14]. Multi-criteria decision making techniques can be utilised to make the public health challenges more plain, logical, and efficient.…”