ArticleEmerging microbes & infections2017
Meteorological factors affect the epidemiology of hemorrhagic fever with renal syndrome via altering the breeding and hantavirus-carrying states of rodents and mites: a 9 years' longitudinal study.
Article in Emerging microbes & infections, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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37 citing papers in PubMed, 65 citations in OpenAlex.
- Spatiotemporal dynamics of the capture rate of Rattus tanezumi and its implications for rodent-borne diseases in the Three Gorges Reservoir Area, China.Environmental monitoring and assessment · 2026Article
- First Molecular Detection of Orthohantaviruses (Pathogens (Basel, Switzerland) · 2025Article
- Precise staging of severe fever with thrombocytopenia syndrome: Integrating the extent of organ damage for prognostic and therapeutic applications.PLoS neglected tropical diseases · 2025Article
- Environmental Change and Hemorrhagic Fever with Renal Syndrome Transmission Risk on the China-Russia Border.EcoHealth · 2025Article
- Article
- An analysis of rodent density patterns and its spatial-temporal correlations using geographically and temporally weighted regression in southeastern China.Frontiers in veterinary science · 2025Article
- Asymmetric association between meteorological factors and human infections with hemorrhagic fever with renal syndrome: A 16-year ecological trend study in Shaanxi, China.One health (Amsterdam, Netherlands) · 2024Article
- Evaluating climate-dependent distribution of orthohantaviruses with monitoring wild rodents: One Health PerspectiveBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024Article
- Review
- Epidemic Characteristics and Meteorological Risk Factors of Hemorrhagic Fever With Renal Syndrome in 151 Cities in China From 2015 to 2021: Retrospective Analysis.JMIR public health and surveillance · 2024Article
- Asymmetric impact of climatic parameters on hemorrhagic fever with renal syndrome in Shandong using a nonlinear autoregressive distributed lag model.Scientific reports · 2024Article
- Spatial-temporal drivers and incidence heterogeneity of hemorrhagic fever with renal syndrome transmission in Shandong Province, China, 2016-2022.BMC public health · 2024Article
- Epidemiology of Hemorrhagic Fever with Renal Syndrome and Host Surveillance in Zhejiang Province, China, 1990-2021.Viruses · 2024Article
- Orientia, Rickettsia, and the microbiome in rodent attached chiggers in North Carolina, USA.PloS one · 2024Article
- Long- and Short-Run Asymmetric Effects of Meteorological Parameters on Hemorrhagic Fever with Renal Syndrome in Heilongjiang: A Population-Based Retrospective Study.Transboundary and emerging diseases · 2024Article
- ZoonoticViruses · 2023Review
- A rapid diagnosis and treatment of Ornithonyssus bacoti infection.Parasitology research · 2023Article
- Urbanization-Related Environmental Factors and Hemorrhagic Fever with Renal Syndrome: A Review Based on Studies Taken in China.International journal of environmental research and public health · 2023Review
- Assessing the Relationship between Climate Variables and Hemorrhagic Fever with Renal Syndrome Transmission in Eastern China: A Multi-Cities Time Series Study.Transboundary and emerging diseases · 2023Article
- Meteorological change and hemorrhagic fever with renal syndrome epidemic in China, 2004-2018.Scientific reports · 2022Article
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Authors and funding
16 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence of hemorrhagic fever with renal syndrome (HFRS) in Qingdao, China was three times higher than that of the average national level. Here we characterized the epidemiology, ecological determinants and pathogen evolution of HFRS in Qingdao during 2007-2015. In this longitudinal study, a total of 1846 HFRS patients and 41 HFRS-related deaths were reported. HFRS in Qingdao peaked once a year in the fourth quarter. We built a time series generalized additive model, and found that meteorological factors in the previous quarter could accurately predict HFRS occurrence. To explore how meteorological factors influenced the epidemic of HFRS, we analyzed the relationship between meteorological factors and hantavirus-carrying states of the hosts (including rodents and shrews). Comprehensive analysis showed humidity was correlated to high host densities in the third quarter and high hantavirus-carrying rates of animal hosts in the third to fourth quarters, which might contribute to HFRS peak in the fourth quarter. We further compared the L segments of hantaviruses from HFRS patients, animal hosts and ectoparasites. Phylogenetic analysis showed that hantaviruses in gamasid and trombiculid mites were the same as those from the hosts. This indicated mites also contributed to the transmission of hantavirus. Furthermore, Hantaan virus from HFRS patients, hosts and mites in Qingdao formed a distinct phylogenetic cluster. A new clade of Seoul virus was also identified in the hosts. Overall, meteorological factors increase HFRS incidence possibly via facilitating hosts' reproduction and consequent mite-mediated hantavirus transmission. New hantavirus subtypes evolved in Qingdao represent new challenges of fighting against HFRS.
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