GIS-aided planning of insecticide spraying to control dengue transmission.
BACKGROUND
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.


METHODS
The 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.


RESULTS
The 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.


CONCLUSIONS
The 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.
Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, 115 Nankang, Taipei, Taiwan. dachianpig@gmail.com.
Hone-Jay
HJ
Chu
Ta-Chien
TC
Chan
Fang-Ju
FJ
Jao
D000330:Aedes / Q000187:drug effects; D000818:Animals; D003715:Dengue / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission*; D018562:Disease Transmission, Infectious / Q000517:prevention & control*; D040362:Geographic Information Systems / Q000639:trends; D006801:Humans; D007306:Insecticides / Q000008:administration & dosage*; D009032:Mosquito Control / Q000379:methods* / Q000639:trends; D010934:Planning Techniques; D013624:Taiwan / Q000453:epidemiology
D007306:Insecticides