Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

Abstract

Abstract. The aim of this study was to use geographical information systems to demonstrate the Dengue fever (DF) risk on a monthly basis in Jeddah, Saudi Arabia with the purpose to provide documentation serving to improve surveillance and monitor the Aedes aegypti mosquito vector. Getis-Ord Gi* statistics and a frequency index covering a five-year period (2006)(2007)(2008)(2009)(2010) were used to map DF and model the risk spatio-temporally. The results show that monthly hotspots were mainly concentrated in central Jeddah districts and that the pattern changes considerably with time. For example, on a yearly basis, for the month of January, the Burman district was identified as a low risk area in 2006, a high-risk area in 2007, medium risk in 2008, very low risk in 2009 and low risk in 2010. The results demonstrate that it would be useful to follow the monthly DF pattern, based on the average weekly frequency, as this can facilitate the allocation of resources for the treatment of the disease, preventing its prevalence and monitoring its vector.

Patterns of Urban Housing Shape Dengue Distribution in Singapore at Neighborhood and Country Scales

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Modelagem geoestatística dos casos de dengue e da variação termopluviométrica em João Pessoa, Brasil

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Dengue Hemorrhagic Fever Virus in Saudi Arabia: A Review

“…Dengue virus was mainly reported from the Western and South-western regions of Saudi Arabia Arabia (Wills et al 1985;Abdullah & Merdan 1995). Mathematical modelling showed that central Jeddah districts were the hotspots and the pattern changes greatly with time (Khormi et al 2011). Using modelling techniques, a total of 111 districts in Jeddah were investigated for the risk of Dengue fever (Khormi & Kumar 2012).…”