ArticleScientific reports2022
Meteorological change and hemorrhagic fever with renal syndrome epidemic in China, 2004-2018.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Land-cover, land-use and human hantavirus infection risk: a systematic review.Pathogens and global health · 2024Pooled it
- The effects of meteorological factors on hemorrhagic fever with renal syndrome in Yichun, China: a major Apodemus-type endemic city.Scientific reports · 2026Article
- Urbanization influences hemorrhagic fever with renal syndrome transmission: 34-year evidence from China's national surveillance.Infectious Disease Modelling · 2026Article
- NPC1 promotes HTNV replication by controlling innate immune response.Frontiers in immunology · 2026Article
- Human-animal interfaces and zoonotic disease risks in China: a review of contact behaviors and risk communication.Science in One Health · 2026Review
- Nonlinear effects of meteorological factors on foodborne disease outbreaks in yantai from 2014 to 2024.Scientific reports · 2025Article
- Spatio-temporal clustering and meteorological factors influencing HFRS incidence in mainland China, 2004-2021.Epidemiology and infection · 2025Article
- Virome diversity in small mammals from south China: Insights into virus evolution, transmission, and ecology.Virologica Sinica · 2025Article
- Short-Term Effects of Meteorological Factors on Severe Fever With Thrombocytopenia Syndrome Incidence in Xinyang, China.GeoHealth · 2025Article
- Association between hydrometeorological conditions and hemorrhagic fever with renal syndrome in Shandong Province, China, from 2005 to 2019.PLoS neglected tropical diseases · 2025Article
- Epidemiological Characteristics and Trends of Zoonotic Diseases in China from 2015 to 2022.Tropical medicine and infectious disease · 2025Article
- Impact and lag effects of meteorology, air pollution and their interaction on HFRS: A case study of cities in Central China.One health (Amsterdam, Netherlands) · 2025Article
- Meteorological drivers of hemorrhagic fever with renal syndrome in China's Jiaodong Peninsula: an ecological time-series study from 2020 to 2024.Frontiers in public health · 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
- Spatiotemporal distribution and meteorological factors of hemorrhagic fever with renal syndrome in Hubei province.PLoS neglected tropical diseases · 2024Article
- DNA Vaccines Encoding HTNV GP-Derived Th Epitopes Benefited from a LAMP-Targeting Strategy and Established Cellular Immunoprotection.Vaccines · 2024Article
- The 2016 Severe Floods and Incidence of Hemorrhagic Fever With Renal Syndrome in the Yangtze River Basin.JAMA network open · 2024Article
- 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
- 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.PLoS neglected tropical diseases · 2024Article
- Asymmetric impact of climatic parameters on hemorrhagic fever with renal syndrome in Shandong using a nonlinear autoregressive distributed lag model.Scientific reports · 2024Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Hemorrhagic fever with renal syndrome (HFRS), caused by hantavirus, is a serious public health problem in China. Despite intensive countermeasures including Patriotic Health Campaign, rodent control and vaccination in affected areas, HFRS is still a potential public health threat in China, with more than 10,000 new cases per year. Previous epidemiological evidence suggested that meteorological factors could influence HFRS incidence, but the studies were mainly limited to a specific city or region in China. This study aims to evaluate the association between monthly HFRS cases and meteorological change at the country level using a multivariate distributed lag nonlinear model (DLNM) from 2004 to 2018. The results from both univariate and multivariate models showed a non-linear cumulative relative risk relationship between meteorological factors (with a lag of 0-6 months) such as mean temperature (Tmean), precipitation, relative humidity (RH), sunshine hour (SH), wind speed (WS) and HFRS incidence. The risk for HFRS cases increased steeply as the Tmean between - 23 and 14.79 °C, SH between 179.4 and 278.4 h and RH remaining above 69% with 50-95 mm precipitation and 1.70-2.00 m/s WS. In conclusion, meteorological factors such as Tmean and RH showed delayed-effects on the increased risk of HFRS in the study and the lag varies across climate factors. Temperature with a lag of 6 months (RR = 3.05) and precipitation with a lag of 0 months (RR = 2.08) had the greatest impact on the incidence of HFRS.
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