Please use this identifier to cite or link to this item: https://doi.org/10.1038/srep09679
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dc.titleA national assessment of the epidemiology of severe fever with thrombocytopenia syndrome, China
dc.contributor.authorLiu, K
dc.contributor.authorZhou, H
dc.contributor.authorSun, R.-X
dc.contributor.authorYao, H.-W
dc.contributor.authorLi, Y
dc.contributor.authorWang, L.-P
dc.contributor.authorDi, M
dc.contributor.authorLi, X.-L
dc.contributor.authorYang, Y
dc.contributor.authorGray, G.C
dc.contributor.authorCui, N
dc.contributor.authorYin, W.-W
dc.contributor.authorFang, L.-Q
dc.contributor.authorYu, H.-J
dc.contributor.authorCao, W.-C
dc.date.accessioned2020-10-26T09:08:22Z
dc.date.available2020-10-26T09:08:22Z
dc.date.issued2015
dc.identifier.citationLiu, K, Zhou, H, Sun, R.-X, Yao, H.-W, Li, Y, Wang, L.-P, Di, M, Li, X.-L, Yang, Y, Gray, G.C, Cui, N, Yin, W.-W, Fang, L.-Q, Yu, H.-J, Cao, W.-C (2015). A national assessment of the epidemiology of severe fever with thrombocytopenia syndrome, China. Scientific Reports 5 : 9679. ScholarBank@NUS Repository. https://doi.org/10.1038/srep09679
dc.identifier.issn2045-2322
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/180473
dc.description.abstractFirst discovered in rural areas of middle-eastern China in 2009, severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne zoonosis affecting hundreds of cases reported in China each year. Using the national surveillance data from 2010 to 2013, we conducted this retrospective epidemiological study and risk assessment of SFTS in China. We found that the incidence of SFTS and its epidemic areas are continuing to grow, but the case fatality rate (CFR) has steadily decreased. SFTS most commonly affected elderly farmers who acquired infection between May and July in middle-eastern China. However, other epidemiological characteristics such as incidence, sex ratio, CFR, and seasonality differ substantially across the affected provinces, which seem to be consistent with local agricultural activities and the seasonal abundance of ticks. Spatial scan statistics detected three hot spots of SFTS that accounted for 69.1% of SFTS cases in China. There was a strong association of SFTS incidence with temporal changes in the climate within the clusters. Multivariate modeling identified climate conditions, elevation, forest coverage, cattle density, and the presence of Haemaphysalis longicornis ticks as independent risk factors in the distribution of SFTS, based on which a predicted risk map of the disease was derived.
dc.publisherNature Publishing Group
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectadolescent
dc.subjectadult
dc.subjectaged
dc.subjectagriculture
dc.subjectanimal
dc.subjectarea under the curve
dc.subjectchild
dc.subjectChina
dc.subjectclimate
dc.subjectcluster analysis
dc.subjectcomplication
dc.subjectfemale
dc.subjectfever
dc.subjecthuman
dc.subjectincidence
dc.subjectinfant
dc.subjectmale
dc.subjectmiddle aged
dc.subjectpathology
dc.subjectpreschool child
dc.subjectreceiver operating characteristic
dc.subjectretrospective study
dc.subjectrisk assessment
dc.subjectseason
dc.subjectseverity of illness index
dc.subjectsyndrome
dc.subjectthrombocytopenia
dc.subjectvery elderly
dc.subjectyoung adult
dc.subjectZoonoses
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectAgriculture
dc.subjectAnimals
dc.subjectArea Under Curve
dc.subjectChild
dc.subjectChild, Preschool
dc.subjectChina
dc.subjectClimate
dc.subjectCluster Analysis
dc.subjectFemale
dc.subjectFever
dc.subjectHumans
dc.subjectIncidence
dc.subjectInfant
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectRetrospective Studies
dc.subjectRisk Assessment
dc.subjectROC Curve
dc.subjectSeasons
dc.subjectSeverity of Illness Index
dc.subjectSyndrome
dc.subjectThrombocytopenia
dc.subjectYoung Adult
dc.subjectZoonoses
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1038/srep09679
dc.description.sourcetitleScientific Reports
dc.description.volume5
dc.description.page9679
dc.published.statepublished
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