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dc.contributor.authorSophie O. Vanwambekeen_US
dc.contributor.authorBirgit H.B. van Bethemen_US
dc.contributor.authorNardlada Khantikulen_US
dc.contributor.authorChantal Burghoorn-Maasen_US
dc.contributor.authorKamolwan Panarten_US
dc.contributor.authorLinda Oskamen_US
dc.contributor.authorEric F. Lambinen_US
dc.contributor.authorPradya Somboonen_US
dc.date.accessioned2018-09-11T08:55:00Z-
dc.date.available2018-09-11T08:55:00Z-
dc.date.issued2006-01-18en_US
dc.identifier.issn1476072Xen_US
dc.identifier.issn1476072Xen_US
dc.identifier.other2-s2.0-32944474077en_US
dc.identifier.other10.1186/1476-072X-5-5en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=32944474077&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/61558-
dc.description.abstractBackground: Dengue is a mosquito-borne viral infection that is now endemic in most tropical countries. In Thailand, dengue fever/dengue hemorrhagic fever is a leading cause of hospitalization and death among children. A longitudinal study among 1750 people in two rural and one urban sites in northern Thailand from 2001 to 2003 studied spatial and temporal determinants for recent dengue infection at three levels (time, individual and household). Methods: Determinants for dengue infection were measured by questionnaire, land-cover maps and GIS. IgM antibodies against dengue were detected by ELISA. Three-level multi-level analysis was used to study the risk determinants of recent dengue infection. Results: Rates of recent dengue infection varied substantially in time from 4 to 30%, peaking in 2002. Determinants for recent dengue infection differed per site. Spatial clustering was observed, demonstrating variation in local infection patterns. Most of the variation in recent dengue infection was explained at the time-period level. Location of a person and the environment around the house (including irrigated fields and orchards) were important determinants for recent dengue infection. Conclusion: We showed the focal nature of asymptomatic dengue infections. The great variation of determinants for recent dengue infection in space and time should be taken into account when designing local dengue control programs. © 2006 Vanwambeke et al; licensee BioMed Central Ltd.en_US
dc.subjectBusiness, Management and Accountingen_US
dc.subjectComputer Scienceen_US
dc.subjectMedicineen_US
dc.titleMulti-level analyses of spatial and temporal determinants for dengue infectionen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Health Geographicsen_US
article.volume5en_US
article.stream.affiliationsUniversite Catholique de Louvainen_US
article.stream.affiliationsRoyal Tropical Institute - KITen_US
article.stream.affiliationsOff. of Vector-Borne Disease Controlen_US
article.stream.affiliationsErasmus University Rotterdamen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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