Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/95710
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Type: Journal article
Title: Spatiotemporal transmission dynamics of hemorrhagic fever with renal syndrome in China, 2005–2012
Author: Zhang, W.
Wang, L.
Liu, Y.
Yin, W.
Hu, W.
Magalhaes, R.
Ding, F.
Sun, H.
Zhou, H.
Li, S.
Haque, U.
Tong, S.
Glass, G.
Bi, P.
Clements, A.
Liu, Q.
Li, C.
Citation: PLoS Neglected Tropical Diseases, 2014; 8(11):e3344-1-e3344-10
Publisher: Public Library of Science
Issue Date: 2014
ISSN: 1935-2727
1935-2735
Statement of
Responsibility: 
Wen-Yi Zhang, Li-Ya Wang, Yun-Xi Liu, Wen-Wu Yin, Wen-Biao Hu, Ricardo J. Soares. Magalhaes, Fan Ding, Hai-Long Sun, Hang Zhou, Shen-Long Li, Ubydul Haque, Shi-Lu Tong, Gregory E. Glass, Peng Bi, Archie C. A. Clements, Qi-Yong Liu, Cheng-Yi Li
Abstract: BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by many serotypes of hantaviruses. In China, HFRS has been recognized as a severe public health problem with 90% of the total reported cases in the world. This study describes the spatiotemporal dynamics of HFRS cases in China and identifies the regions, time, and populations at highest risk, which could help the planning and implementation of key preventative measures. METHODS: Data on all reported HFRS cases at the county level from January 2005 to December 2012 were collected from Chinese Center for Disease Control and Prevention. Geographic Information System-based spatiotemporal analyses including Local Indicators of Spatial Association and Kulldorff's space-time scan statistic were performed to detect local high-risk space-time clusters of HFRS in China. In addition, cases from high-risk and low-risk counties were compared to identify significant demographic differences. RESULTS: A total of 100,868 cases were reported during 2005-2012 in mainland China. There were significant variations in the spatiotemporal dynamics of HFRS. HFRS cases occurred most frequently in June, November, and December. There was a significant positive spatial autocorrelation of HFRS incidence during the study periods, with Moran's I values ranging from 0.46 to 0.56 (P<0.05). Several distinct HFRS cluster areas were identified, mainly concentrated in northeastern, central, and eastern of China. Compared with cases from low-risk areas, a higher proportion of cases were younger, non-farmer, and floating residents in high-risk counties. CONCLUSIONS: This study identified significant space-time clusters of HFRS in China during 2005-2012 indicating that preventative strategies for HFRS should be particularly focused on the northeastern, central, and eastern of China to achieve the most cost-effective outcomes.
Keywords: Humans; Hemorrhagic Fever with Renal Syndrome; Incidence; Cluster Analysis; Adult; Middle Aged; China; Female; Male; Spatio-Temporal Analysis
Rights: © 2014 Zhang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
RMID: 0030015595
DOI: 10.1371/journal.pntd.0003344
Appears in Collections:Public Health publications

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