Publication:
A spatio-temporal analysis of scrub typhus and murine typhus in laos; implications from changing landscapes and climate

dc.contributor.authorTamalee Robertsen_US
dc.contributor.authorDaniel M. Parkeren_US
dc.contributor.authorPhilip L. Bulterysen_US
dc.contributor.authorSayaphet Rattanavongen_US
dc.contributor.authorIvo Elliotten_US
dc.contributor.authorKoukeo Phommasoneen_US
dc.contributor.authorMayfong Mayxayen_US
dc.contributor.authorVilada Chansamouthen_US
dc.contributor.authorMatthew T. Robinsonen_US
dc.contributor.authorStuart D. Blacksellen_US
dc.contributor.authorPaul N. Newtonen_US
dc.contributor.otherFaculty of Tropical Medicine, Mahidol Universityen_US
dc.contributor.otherMinistry of Health Laosen_US
dc.contributor.otherStanford University School of Medicineen_US
dc.contributor.otherMahosot Hospital, Laoen_US
dc.contributor.otherNuffield Department of Medicineen_US
dc.contributor.otherUniversity of California, Irvineen_US
dc.date.accessioned2022-08-04T09:16:25Z
dc.date.available2022-08-04T09:16:25Z
dc.date.issued2021-08-01en_US
dc.description.abstractBackground Scrub typhus (ST) and murine typhus (MT) are common but poorly understood causes of fever in Laos. We examined the spatial and temporal distribution of ST and MT, with the intent of informing interventions to prevent and control both diseases. Methodology and principle findings This study included samples submitted from 2003 to 2017 to Mahosot Hospital, Vientiane, for ST and MT investigation. Serum samples were tested using IgM rapid diagnostic tests. Patient demographic data along with meteorological and environmental data from Laos were analysed. Approximately 17% of patients were positive for either ST (1,337/8,150 patients tested) or MT (1,283/7,552 patients tested). While both diseases occurred in inhabitants from Vientiane Capital, from the univariable analysis MT was positively and ST negatively associated with residence in Vientiane Capital. ST was highly seasonal, with cases two times more likely to occur during the wet season months of July-September compared to the dry season whilst MT peaked in the dry season. Multivariable regression analysis linked ST incidence to fluctuations in relative humidity whereas MT was linked to variation in temperature. Patients with ST infection were more likely to come from villages with higher levels of surface flooding and vegetation in the 16 days leading up to diagnosis. Conclusions The data suggest that as cities expand, high risk areas for MT will also expand. With global heating and risks of attendant higher precipitation, these data suggest that the incidence and spatial distribution of both MT and ST will increase.en_US
dc.identifier.citationPLoS Neglected Tropical Diseases. Vol.15, No.8 (2021)en_US
dc.identifier.doi10.1371/journal.pntd.0009685en_US
dc.identifier.issn19352735en_US
dc.identifier.issn19352727en_US
dc.identifier.other2-s2.0-85114098830en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/77984
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114098830&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleA spatio-temporal analysis of scrub typhus and murine typhus in laos; implications from changing landscapes and climateen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114098830&origin=inwarden_US

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