Spatiotemporal and socioeconomic risk factors for dengue at the province level in Vietnam, 2013–2015: Clustering analysis and regression model

cg.authorship.typesCGIAR and developing country instituteen
cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationLondon School of Hygiene and Tropical Medicineen
cg.contributor.affiliationUppsala Universityen
cg.contributor.affiliationSwedish University of Agricultural Sciencesen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationNational Institute of Hygiene and Epidemiology, Vietnamen
cg.contributor.affiliationMinistry of Health, Vietnamen
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.donorSwedish Research Council for Environment, Agricultural Sciences and Spatial Planningen
cg.coverage.countryVietnam
cg.coverage.iso3166-alpha2VN
cg.coverage.regionAsia
cg.coverage.regionSouth-eastern Asia
cg.creator.identifierJohanna Lindahl: 0000-0002-1175-0398en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.3390/tropicalmed5020081en
cg.isijournalISI Journalen
cg.issn2414-6366en
cg.issue2en
cg.journalTropical Medicine and Infectious Diseaseen
cg.reviewStatusPeer Reviewen
cg.subject.ilriEPIDEMIOLOGYen
cg.subject.ilriHUMAN HEALTHen
cg.volume5en
dc.contributor.authorAshmore, P.en
dc.contributor.authorLindahl, Johanna F.en
dc.contributor.authorColón-González, F.J.en
dc.contributor.authorVu Sinh Namen
dc.contributor.authorDang Quang Tanen
dc.contributor.authorMedley, G.F.en
dc.date.accessioned2020-06-08T17:12:02Zen
dc.date.available2020-06-08T17:12:02Zen
dc.identifier.urihttps://hdl.handle.net/10568/108409
dc.titleSpatiotemporal and socioeconomic risk factors for dengue at the province level in Vietnam, 2013–2015: Clustering analysis and regression modelen
dcterms.abstractDengue is a serious infectious disease threat in Vietnam, but its spatiotemporal and socioeconomic risk factors are not currently well understood at the province level across the country and on a multiannual scale. We explore spatial trends, clusters and outliers in dengue case counts at the province level from 2011–2015 and use this to extract spatiotemporal variables for regression analysis of the association between dengue case counts and selected spatiotemporal and socioeconomic variables from 2013–2015. Dengue in Vietnam follows anticipated spatial trends, with a potential two-year cycle of high-high clusters in some southern provinces. Small but significant associations are observed between dengue case counts and mobility, population density, a province’s dengue rates the previous year, and average dengue rates two years previous in first and second order contiguous neighbours. Significant associations were not found between dengue case counts and housing pressure, access to electricity, clinician density, province-adjusted poverty rate, percentage of children below one vaccinated, or percentage of population in urban settings. These findings challenge assumptions about socioeconomic and spatiotemporal risk factors for dengue, and support national prevention targeting in Vietnam at the province level. They may also be of wider relevance for the study of other arboviruses, including Japanese encephalitis, Zika, and Chikungunya.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2020-05-19en
dcterms.bibliographicCitationAshmore, P., Lindahl, J.F., Colón-González, F.J., Vu Sinh Nam, Dang Quang Tan and Medley, G.F. 2020. Spatiotemporal and socioeconomic risk factors for dengue at the province level in Vietnam, 2013–2015: Clustering analysis and regression model. Tropical Medicine and Infectious Disease 5(2): 81.en
dcterms.issued2020-05-19en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherMDPIen
dcterms.subjectrisk analysisen
dcterms.subjectvectorsen
dcterms.subjectdiseasesen
dcterms.subjectepidemiologyen
dcterms.typeJournal Article

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: