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A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China
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 epid...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4407178/ https://www.ncbi.nlm.nih.gov/pubmed/25902910 http://dx.doi.org/10.1038/srep09679 |
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author | Liu, Kun Zhou, Hang Sun, Ruo-Xi Yao, Hong-Wu Li, Yu Wang, Li-Ping Di Mu Li, Xin-Lou Yang, Yang Gray, Gregory C. Cui, Ning Yin, Wen-Wu Fang, Li-Qun Yu, Hong-Jie Cao, Wu-Chun |
author_facet | Liu, Kun Zhou, Hang Sun, Ruo-Xi Yao, Hong-Wu Li, Yu Wang, Li-Ping Di Mu Li, Xin-Lou Yang, Yang Gray, Gregory C. Cui, Ning Yin, Wen-Wu Fang, Li-Qun Yu, Hong-Jie Cao, Wu-Chun |
author_sort | Liu, Kun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4407178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44071782015-05-05 A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China Liu, Kun Zhou, Hang Sun, Ruo-Xi Yao, Hong-Wu Li, Yu Wang, Li-Ping Di Mu Li, Xin-Lou Yang, Yang Gray, Gregory C. Cui, Ning Yin, Wen-Wu Fang, Li-Qun Yu, Hong-Jie Cao, Wu-Chun Sci Rep Article 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. Nature Publishing Group 2015-04-23 /pmc/articles/PMC4407178/ /pubmed/25902910 http://dx.doi.org/10.1038/srep09679 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Liu, Kun Zhou, Hang Sun, Ruo-Xi Yao, Hong-Wu Li, Yu Wang, Li-Ping Di Mu Li, Xin-Lou Yang, Yang Gray, Gregory C. Cui, Ning Yin, Wen-Wu Fang, Li-Qun Yu, Hong-Jie Cao, Wu-Chun A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China |
title | A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China |
title_full | A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China |
title_fullStr | A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China |
title_full_unstemmed | A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China |
title_short | A National Assessment of the Epidemiology of Severe Fever with Thrombocytopenia Syndrome, China |
title_sort | national assessment of the epidemiology of severe fever with thrombocytopenia syndrome, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4407178/ https://www.ncbi.nlm.nih.gov/pubmed/25902910 http://dx.doi.org/10.1038/srep09679 |
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