Publication:
Space–time clustering characteristics of malaria in bhutan at the end stages of elimination

dc.contributor.authorKinley Wangdien_US
dc.contributor.authorKinley Penjoren_US
dc.contributor.authorTobgyalen_US
dc.contributor.authorSaranath Lawpoolsrien_US
dc.contributor.authorRic N. Priceen_US
dc.contributor.authorPeter W. Gethingen_US
dc.contributor.authorDarren J. Grayen_US
dc.contributor.authorElivelton Da Silva Fonsecaen_US
dc.contributor.authorArchie C.A. Clementsen_US
dc.contributor.otherFaculty of Tropical Medicine, Mahidol Universityen_US
dc.contributor.otherThe Faculty of Health Sciencesen_US
dc.contributor.otherMenzies School of Health Researchen_US
dc.contributor.otherUniversidade Federal de Uberlândiaen_US
dc.contributor.otherThe Australian National Universityen_US
dc.contributor.otherNuffield Department of Medicineen_US
dc.contributor.otherTelethon Kids Instituteen_US
dc.contributor.otherMinistry of Healthen_US
dc.date.accessioned2022-08-04T08:41:21Z
dc.date.available2022-08-04T08:41:21Z
dc.date.issued2021-06-01en_US
dc.description.abstractMalaria in Bhutan has fallen significantly over the last decade. As Bhutan attempts to eliminate malaria in 2022, this study aimed to characterize the space–time clustering of malaria from 2010 to 2019. Malaria data were obtained from the Bhutan Vector-Borne Disease Control Program data repository. Spatial and space–time cluster analyses of Plasmodium falciparum and Plasmodium vivax cases were conducted at the sub-district level from 2010 to 2019 using Kulldorff’s space–time scan statistic. A total of 768 confirmed malaria cases, including 454 (59%) P. vivax cases, were reported in Bhutan during the study period. Significant temporal clusters of cases caused by both species were identified between April and September. The most likely spatial clusters were detected in the central part of Bhutan throughout the study period. The most likely space–time cluster was in Sarpang District and neighboring districts between January 2010 to June 2012 for cases of infection with both species. The most likely cluster for P. falciparum infection had a radius of 50.4 km and included 26 sub-districts with a relative risk (RR) of 32.7. The most likely cluster for P. vivax infection had a radius of 33.6 km with 11 sub-districts and RR of 27.7. Three secondary space–time clusters were detected in other parts of Bhutan. Spatial and space–time cluster analysis identified high-risk areas and periods for both P. vivax and P. falciparum malaria. Both malaria types showed significant spatial and spatiotemporal variations. Operational research to understand the drivers of residual transmission in hotspot sub-districts will help to overcome the final challenges of malaria elimination in Bhutan.en_US
dc.identifier.citationInternational Journal of Environmental Research and Public Health. Vol.18, No.11 (2021)en_US
dc.identifier.doi10.3390/ijerph18115553en_US
dc.identifier.issn16604601en_US
dc.identifier.issn16617827en_US
dc.identifier.other2-s2.0-85106213206en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/77041
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85106213206&origin=inwarden_US
dc.subjectEnvironmental Scienceen_US
dc.subjectMedicineen_US
dc.titleSpace–time clustering characteristics of malaria in bhutan at the end stages of eliminationen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85106213206&origin=inwarden_US

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