Analysis of factors influencing hemorrhagic fever with renal syndrome and its prediction in Weifang, China from 2013 to 2021

Hui Zhang, Wan-Ying Zhao, Yan-Qing Yang, Xue-Yan Guo, Yi-Han Shi, Qi-Yong Liu, Jing Li · 2025

Read Analysis of factors influencing hemorrhagic fever with renal syndrome and its prediction in Weifang, China from 2013 to 2021 by Hui Zhang, Wan-Ying Zhao, Yan-Qing Yang, Xue-Yan Guo, Yi-Han Shi, Qi-Yong Liu, Jing Li (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12824518.txt.

Description

Hui Zhang and six co-authors charted a rodent-borne fever illness in Weifang, China, across the years twenty thirteen to twenty twenty-one, in a study from twenty twenty-five. The illness, hemorrhagic fever with renal syndrome, harms the kidneys. Weifang logged two thousand one hundred eighteen cases in the span. The team linked case counts to weather, farm, and economic data, then built models to call future risk.

Cases followed a clear seasonal rhythm. Heat, air pressure, crop area, and output all tracked case counts closely. Two rodent species took turns as the main reservoir across the span. Rodent density showed a U-shaped link to cases, while heat showed a peak near a set threshold. Climate acted both directly and through rodent numbers. A Bayesian time-series model forecast case trends well, and the authors say such forecasts can sharpen local prevention work.

Catalog record

CREATORHui Zhang, Wan-Ying Zhao, Yan-Qing Yang, Xue-Yan Guo, Yi-Han Shi, Qi-Yong Liu, Jing Li
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE25 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12824518

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