Literature DB >> 28696305

Interannual cycles of Hantaan virus outbreaks at the human-animal interface in Central China are controlled by temperature and rainfall.

Huaiyu Tian1, Pengbo Yu2, Bernard Cazelles3,4, Lei Xu5,6, Hua Tan7, Jing Yang1, Shanqian Huang1, Bo Xu8, Jun Cai8, Chaofeng Ma9, Jing Wei2, Shen Li2, Jianhui Qu10, Marko Laine11, Jingjun Wang12, Shilu Tong13,14,15, Nils Chr Stenseth16, Bing Xu17,8.   

Abstract

Hantavirus, a rodent-borne zoonotic pathogen, has a global distribution with 200,000 human infections diagnosed annually. In recent decades, repeated outbreaks of hantavirus infections have been reported in Eurasia and America. These outbreaks have led to public concern and an interest in understanding the underlying biological mechanisms. Here, we propose a climate-animal-Hantaan virus (HTNV) infection model to address this issue, using a unique dataset spanning a 54-y period (1960-2013). This dataset comes from Central China, a focal point for natural HTNV infection, and includes both field surveillance and an epidemiological record. We reveal that the 8-y cycle of HTNV outbreaks is driven by the confluence of the cyclic dynamics of striped field mouse (Apodemus agrarius) populations and climate variability, at both seasonal and interannual cycles. Two climatic variables play key roles in the ecology of the HTNV system: temperature and rainfall. These variables account for the dynamics in the host reservoir system and markedly affect both the rate of transmission and the potential risk of outbreaks. Our results suggest that outbreaks of HTNV infection occur only when climatic conditions are favorable for both rodent population growth and virus transmission. These findings improve our understanding of how climate drives the periodic reemergence of zoonotic disease outbreaks over long timescales.

Entities:  

Keywords:  Hantaan virus; climate change; spillover to humans; time-series data; wildlife reservoir

Mesh:

Year:  2017        PMID: 28696305      PMCID: PMC5544290          DOI: 10.1073/pnas.1701777114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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