Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9636
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dc.contributor.authorKhormi, Hassanen
dc.contributor.authorKumar, Laliten
dc.date.accessioned2012-03-07T11:26:00Z-
dc.date.issued2011-
dc.identifier.citationDengue Bulletin, v.35, p. 15-34en
dc.identifier.issn1020-895Xen
dc.identifier.issn0250-8362en
dc.identifier.urihttps://hdl.handle.net/1959.11/9636-
dc.description.abstractUnderstanding the distribution of dengue fever in time and space is the foundation for its control and management programmes. Different technologies, especially the Geographic Information System (GIS) and its tools and methods, have been used to illustrate and visualize the prevalence of some mosquito-borne diseases and abundance of their vectors. The aim of this study was to illustrate the spatial distribution and spatial pattern of this disease and female 'Aedes aegypti' mosquitoes in the epidemic-prone area of Jeddah, and also to show the hot spot districts with the highest risk levels. The study was conducted in Jeddah county, Saudi Arabia. The clinically-confirmed cases registries of dengue fever have been continuously and systematically collected since 2006 by the Dengue Fever Operation Room of Jeddah Health Affairs. The computerized databases of these two government departments have recorded weekly notifications of dengue fever cases and its vector (female 'Aedes' mosquito). The female 'Aedes' mosquito counts and identification were provided by the laboratory of mosquito, which belongs to the Jeddah Municipality. Two GIS techniques were used to achieve the aims of this study. The multi-distance spatial cluster (Ripley's K-function) was used to estimate the spatial pattern and distribution while the Getis Ord Gi* statistic was used to model and visualize the hot spots and the risk models. The results showed that the spatial patterns and distribution of dengue fever cases from 2006 to 2009 were clustered at multiple distances with statistically significant clustering. They also showed that most 'Aedes' mosquitoes were clustered while some of them were dispersed at larger distances, especially in 2007, 2008, 2009 and 2010. Also, areas with various risk levels of dengue fever and its vector were identified in different geographical locations (districts) for different epidemic years using the Getis-Ord Gi*. Identifying dengue fever and its vector cluster and hot spots can be greatly enhanced through the use of a variety of analytical techniques that are available in the Geographic Information System. Getis-Ord Gi* and multi-distance spatial cluster (Ripley's K-function) can be implemented as routine procedures along with dengue fever control and prevention programmes.en
dc.languageenen
dc.publisherWorld Health Organizationen
dc.relation.ispartofDengue Bulletinen
dc.titleIdentifying and visualizing spatial patterns and hot spots of clinically-confirmed dengue fever cases and female 'Aedes aegypti' mosquitoes in Jeddah, Saudi Arabiaen
dc.typeJournal Articleen
dc.subject.keywordsEnvironmental Monitoringen
local.contributor.firstnameHassanen
local.contributor.firstnameLaliten
local.subject.for2008050206 Environmental Monitoringen
local.subject.seo2008960405 Control of Pests, Diseases and Exotic Species at Regional or Larger Scalesen
local.profile.schoolIT Voice Systemsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailhkhormi@une.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryC2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20120307-11080en
local.publisher.placeIndiaen
local.format.startpage15en
local.format.endpage34en
local.identifier.volume35en
local.contributor.lastnameKhormien
local.contributor.lastnameKumaren
dc.identifier.staffune-id:hkhormien
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:9827en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleIdentifying and visualizing spatial patterns and hot spots of clinically-confirmed dengue fever cases and female 'Aedes aegypti' mosquitoes in Jeddah, Saudi Arabiaen
local.output.categorydescriptionC2 Non-Refereed Article in a Scholarly Journalen
local.relation.urlhttp://www.searo.who.int/en/Section10/Section332_1097.htmen
local.search.authorKhormi, Hassanen
local.search.authorKumar, Laliten
local.uneassociationUnknownen
local.year.published2011en
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