GIS-aided planning of insecticide spraying to control dengue transmission

Hone-Jay Chu,Ta-Chien Chan,Fang-Ju Jao

doi:10.1186/1476-072x-12-42

Hone-Jay Chu, Ta-Chien Chan + Show 1 more

Open Access

https://doi.org/10.1186/1476-072x-12-42

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Abstract

BackgroundThe purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever.MethodsThe optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model.ResultsThe results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered.ConclusionsThe model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources.

Highlights

Dengue fever is a high-incidence, vector-borne infectious disease, and an estimated 390 million (95% credible interval 284-528 million) dengue infections occur per year around the world, distributed in tropical countries [1]
The high frequency indicators are located in the North, East and Middle-West Districts
The proposed model in this study would allow the temporal variability of dengue based on incorporating a time-varying, predefined control area

Summary

Introduction

Dengue fever is a high-incidence, vector-borne infectious disease, and an estimated 390 million (95% credible interval 284-528 million) dengue infections occur per year around the world, distributed in tropical countries [1]. During the initial stage of an epidemic, local health departments will mobilize insecticide spraying resources within peridomestic space to prevent dengue vector breeding. Based on one experimental study in southern Taiwan, the effectiveness of insecticide spraying programming formulation [9] to dynamically plan the insecticide spraying area for prevention of the transmission of dengue fever. The 2007 dengue epidemic in Tainan City, located in southern Taiwan, was utilized as a case study and to compare the difference between the GIS-aided strategy and the empirical spraying area. The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever

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