Please use this identifier to cite or link to this item: https://doi.org/10.1038/srep09679
Title: A national assessment of the epidemiology of severe fever with thrombocytopenia syndrome, China
Authors: Liu, 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
Keywords: adolescent
adult
aged
agriculture
animal
area under the curve
child
China
climate
cluster analysis
complication
female
fever
human
incidence
infant
male
middle aged
pathology
preschool child
receiver operating characteristic
retrospective study
risk assessment
season
severity of illness index
syndrome
thrombocytopenia
very elderly
young adult
Zoonoses
Adolescent
Adult
Aged
Aged, 80 and over
Agriculture
Animals
Area Under Curve
Child
Child, Preschool
China
Climate
Cluster Analysis
Female
Fever
Humans
Incidence
Infant
Male
Middle Aged
Retrospective Studies
Risk Assessment
ROC Curve
Seasons
Severity of Illness Index
Syndrome
Thrombocytopenia
Young Adult
Zoonoses
Issue Date: 2015
Publisher: Nature Publishing Group
Citation: Liu, 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
Rights: Attribution 4.0 International
Abstract: First 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.
Source Title: Scientific Reports
URI: https://scholarbank.nus.edu.sg/handle/10635/180473
ISSN: 2045-2322
DOI: 10.1038/srep09679
Rights: Attribution 4.0 International
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