Spatiotemporal patterns of hemorrhagic fever with renal syndrome in Hebei Province, China, 2001‐2016. Issue 3 (13th November 2018)

• Record Type: Journal Article
• Authors: Cai, Yanan; Wei, Yamei; Han, Xu; Han, Zhanying; Liu, Shiyou; Zhang, Yanbo; Xu, Yonggang; Qi, Shunxiang; Li, Qi
• Is Part Of: Journal of medical virology. Volume 91:Issue 3(2019)
• Page Start: 337
• Page End: 346
• Publication Date: 2018-11-13
• Subjects: hemorrhagic fever with renal syndrome (HFRS) -- scan statistic -- spatial autocorrelation -- spatiotemporal clusters; Virology -- Periodicals; 616
• DOI: 10.1002/jmv.25293
• Languages: English
• ISSNs: 0146-6615

Abstract

Abstract : Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in China, where approximately 90% of the total human cases in the world are reported. The Hebei province, one of areas with the highest prevalence, has reported HFRS cases every year in the last two decades. This study describes the spatiotemporal patterns of HFRS in the Hebei province from 2001 to 2016, detects the high‐risk spatiotemporal clusters of HFRS, and provides valuable information for planning and implementation of local preventive measures. For the purpose of the analysis, HFRS cases recorded during the sixteen years in the Hebei province were aggregated into three temporal periods (2001‐2006, 2007‐2012, and 2013‐2016). Spatiotemporal analyses, including Global spatial autocorrelation analysis and Kulldorff's scan statistical analysis, were applied to analyze te spatiotemporal clusters of HFRS at the county level. The results revealed that the spatial extent of the HFRS epidemic in the Hebei province changed dynamically from 2001 to 2016, which indicated that a comprehensive preventative strategy should be implemented in the northeastern regions of the Hebei province in spring. Abstract : Geographic Information System was firstly applied to describe the geo‐graphic distribution pattern of HFRS. Long‐term surveillance data of HFRS was used to delineate the spatiotemporal dynamic trend of HFRS.