Using empirical dynamic modeling to identify the impact of meteorological factors on hemorrhagic fever with renal syndrome in Weifang, Northeastern China, from 2011 to 2020.

• Príomhchruthaitheoirí: Liang Zheng (Údar), Qi Gao (Údar), Shengnan Yu (Údar), Yijin Chen (Údar), Yuan Shi (Údar), Minghao Sun (Údar), Ying Liu (Údar), Zhiqiang Wang (Údar), Xiujun Li (Údar)
• Formáid: LEABHAR
• Foilsithe / Cruthaithe: Public Library of Science (PLoS), 2024-06-01T00:00:00Z.
• Ábhair: article
• Rochtain ar líne: Connect to this object online.

<h4>Background</h4>Hemorrhagic Fever with Renal Syndrome (HFRS) continues to pose a significant public health threat to the well-being of the population. Given that the spread of HFRS is susceptible to meteorological factors, we aim to probe into the meteorological drivers of HFRS. Thus,...