Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10126
Title: Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment
Contributor(s): Khormi, Hassan (author); Kumar, Lalit  (author)orcid 
Publication Date: 2012
Open Access: Yes
DOI: 10.4081/gh.2012.135Open Access Link
Handle Link: https://hdl.handle.net/1959.11/10126
Abstract: An important option in preventing the spread of dengue fever (DF) is to control and monitor its vector ('Aedes aegypti') as well as to locate and destroy suitable mosquito breeding environments. The aim of the present study was to use a combination of environmental and socioeconomic variables to model areas at risk of DF. These variables include clinically confirmed DF cases, mosquito counts, population density in inhabited areas, total populations per district, water access, neighbourhood quality and the spatio-temporal risk of DF based on the average, weekly frequency of DF incidence. Out of 111 districts investigated, 17 (15%), covering a total area of 121 km², were identified as of high risk, 25 (22%), covering 133 km², were identified as of medium risk, 18 (16%), covering 180 km², were identified as of low risk and 51 (46%), covering 726 km², were identified as of very low risk. The resultant model shows that most areas at risk of DF were concentrated in the central part of Jeddah county, Saudi Arabia. The methods used can be implemented as routine procedures for control and prevention. A concerted intervention in the medium- and high-risk level districts identified in this study could be highly effective in reducing transmission of DF in the area as a whole.
Publication Type: Journal Article
Source of Publication: Geospatial Health, 6(2), p. 171-176
Publisher: Universita degli Studi di Napoli
Place of Publication: Italy
ISSN: 1827-1987
1970-7096
Field of Research (FOR): 050206 Environmental Monitoring
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Other Links: http://www.geospatialhealth.unina.it/summary.php?ida=157
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