Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13613
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dc.contributor.authorKhormi, Hassanen
dc.contributor.authorKumar, Laliten
dc.contributor.authorElzahrany, Ramzeen
dc.date.accessioned2013-11-05T17:31:00Z-
dc.date.created2013en
dc.date.issued2013-
dc.identifier.urihttps://hdl.handle.net/1959.11/13613-
dc.description.abstractThe incidence of dengue fever (DF) and its vector ('Aedes aegypti') is largely associated with environmental, meteorological and socioeconomic conditions. DF is considered by the World Health organization (WHO) to be one of the most important mosquito-borne diseases globally. It has been recognised as the most prevalent arboviral disease in Saudi Arabia generally and Jeddah particularly. The transmission pattern of DF is sensitive to socio ecological factors including environmental variation, socioeconomic variables and mosquito density. The aim of this study was mainly to model and develop models for dengue fever risks based on different environmental, meteorological and socioeconomic variables and to assess the association between these variables, DF cases and 'Aedes aegypti' in a geographic information system (GIS) environment. Different variables, including clinically confirmed cases of DF, mosquito counts, meteorological factors (e.g. temperature and relative humidity), population density based on inhabited areas, total population per district, neighbourhood quality, subsurface water and monthly spatio-temporal risk of DF based on average weekly frequency of DF incidence have been used. A number of spatial, analytical and descriptive methods for gathering, analysing and modelling data were used in this study, such as Getis-Ord Gi*, multi-distance spatial cluster (Ripley's K-function), frequency index, derivation of socioeconomic factors from high-resolution satellite images, Spearman's and Person's correlations, multiple regression analysis and geographically weighted regression (GWR).en
dc.languageenen
dc.titleModelling of dengue fever and its vector risks based on the impacts of socioeconomic, meteorological and environmental factors: a Geographic Information System-based case study of Jeddah, Saudi Arabiaen
dc.typeThesis Doctoralen
dcterms.accessRightsUNE Greenen
dc.subject.keywordsHealth Information Systems (incl Surveillance)en
local.contributor.firstnameHassanen
local.contributor.firstnameLaliten
local.contributor.firstnameRamzeen
local.subject.for2008111711 Health Information Systems (incl Surveillance)en
local.subject.seo2008920407 Health Protection and/or Disaster Responseen
dcterms.RightsStatementCopyright 2013 - Hassan Muhsan A Khormien
dc.date.conferred2013en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailkhormi10@hotmail.comen
local.profile.emaillkumar@une.edu.auen
local.profile.emailrelzahra@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20130108-152722en
local.title.subtitlea Geographic Information System-based case study of Jeddah, Saudi Arabiaen
local.access.fulltextYesen
local.contributor.lastnameKhormien
local.contributor.lastnameKumaren
local.contributor.lastnameElzahranyen
dc.identifier.staffune-id:hkhormien
dc.identifier.staffune-id:lkumaren
dc.identifier.staffune-id:relzahraen
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:13825en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleModelling of dengue fever and its vector risks based on the impacts of socioeconomic, meteorological and environmental factorsen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.relation.urlhttp://www.geospatialhealth.unina.it/summary.php?ida=157en
local.relation.urlhttp://www.geospatialhealth.unina.it/summary.php?ida=142en
local.thesis.borndigitalyesen
local.search.authorKhormi, Hassanen
local.search.supervisorKumar, Laliten
local.search.supervisorElzahrany, Ramzeen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/7ac046e8-a40c-4987-9c1d-660357ffc8cfen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/84a6feb5-914f-4a31-a3b2-ec14013469fden
local.uneassociationYesen
local.year.conferred2013en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/7ac046e8-a40c-4987-9c1d-660357ffc8cfen
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/84a6feb5-914f-4a31-a3b2-ec14013469fden
local.subject.for2020460102 Applications in healthen
local.subject.for2020420310 Health surveillanceen
local.subject.seo2020200406 Health protection and disaster responseen
Appears in Collections:School of Environmental and Rural Science
Thesis Doctoral
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