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https://hdl.handle.net/1959.11/10340
Title: | The importance of appropriate temporal and spatial scales for dengue fever control and management | Contributor(s): | Khormi, Hassan (author); Kumar, Lalit (author) | Publication Date: | 2012 | DOI: | 10.1016/j.scitotenv.2012.05.001 | Handle Link: | https://hdl.handle.net/1959.11/10340 | Abstract: | It is important to have appropriate models for the surveillance and control of mosquito-borne diseases, such as dengue fever (DF). These models need to be based on appropriate temporal and spatial scales. The aim of this study was to illustrate the impact of different temporal and spatial scales on DF control decisions. We applied the Getis-Ord Gi* statistic at different temporal and spatial scales to examine the local level of spatial clusters at these scales in order to identify and visualize areas where numbers of adult female Aedes mosquitoes were extreme and geographically homogenous. The modeled hotspot areas were different, depending on whether they were modeled on weekly, monthly or yearly aggregated data. A similar result was found when using different spatial scales for modeling, with different scales giving different hotspot regions. For 2006, the highest risk areas (18 districts) were mostly identified in the central districts with a high rate of similarity (95%) compared to the highest risk areas (19) identified in the averaged five-year period model. Knowledge of appropriate temporal and spatial scales can provide an opportunity to specify the health burden of DF and its vector within the hotspots, as well as set a platform that can help to pursue further investigations into associated factors responsible for increased disease risk based on different temporal and spatial scales. | Publication Type: | Journal Article | Source of Publication: | Science of the Total Environment, v.430, p. 144-149 | Publisher: | Elsevier BV | Place of Publication: | Netherlands | ISSN: | 1879-1026 0048-9697 |
Fields of Research (FoR) 2008: | 050206 Environmental Monitoring | Fields of Research (FoR) 2020: | 410599 Pollution and contamination not elsewhere classified | Socio-Economic Objective (SEO) 2008: | 960405 Control of Pests, Diseases and Exotic Species at Regional or Larger Scales | Socio-Economic Objective (SEO) 2020: | 180204 Control of pests, diseases and exotic species in coastal and estuarine environments | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article |
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