ArticleJAMA network open2024
The 2016 Severe Floods and Incidence of Hemorrhagic Fever With Renal Syndrome in the Yangtze River Basin.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Regional heterogeneity of spatial-temporal characteristics and meteorological-environmental driving factors of hemorrhagic fever with renal syndrome in China.One health (Amsterdam, Netherlands) · 2026Article
- Spatiotemporal pattern of hemorrhagic fever with renal syndrome and driving factors in Shandong Province of China, 2018-2024.PLoS neglected tropical diseases · 2026Article
- Correlating hemorrhagic fever with renal syndrome incidence and research publications in China: insights from epidemiological and bibliometric analysis.One health outlook · 2025Article
- Notified Vector-Borne Diseases - China, 2005-2024.China CDC weekly · 2025Article
- Mapping global risk of bat and rodent borne disease outbreaks to anticipate emerging threats.Scientific reports · 2025Article
- Association between hydrometeorological conditions and hemorrhagic fever with renal syndrome in Shandong Province, China, from 2005 to 2019.PLoS neglected tropical diseases · 2025Article
- Vulnerability characteristics and adaptation strategies of public health systems in different regions of China.Frontiers in public health · 2025Review
- 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
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Importance: Hemorrhagic fever with renal syndrome (HFRS), a neglected zoonotic disease, has received only short-term attention in postflood prevention and control initiatives, possibly because of a lack of evidence regarding the long-term association of flooding with HFRS. Objectives: To quantify the association between severe floods and long-term incidence of HFRS in the Yangtze River basin and to examine the modifying role of geographical factors in this association. Design, Setting, and Participants: This cross-sectional study collected data on HFRS cases between July 1, 2013, and June 30, 2019, from 58 cities in 4 provinces (Anhui, Hubei, Hunan, and Jiangxi) in the Yangtze River basin of China, with a breakpoint of flooding in July 2016, generating monthly data. The 3 years after July 2016 were defined as the postflood period, while the 3 years before the breakpoint were defined as the control period. Statistical analysis was performed from October to December 2023. Exposures: City-level monthly flooding, elevation, ruggedness index, and closest distance from each city to the Yangtze River and its tributaries. Main Outcomes and Measures: The primary outcomes were the number of city-level monthly HFRS cases and the number of type 1 (spring or summer) and type 2 (autumn or winter) HFRS cases. Results: A total of 11 745 patients with HFRS were reported during the study period: 5216 patients (mean [SD] age, 47.1 [16.2] years; 3737 men [71.6%]) in the control period and 6529 patients (mean [SD] age, 49.8 [15.8] years; 4672 men [71.6%]) in the postflood period. The pooled effects of interrupted time series analysis indicated a long-term association between flooding and HFRS incidence (odds ratio, 1.38; 95% CI, 1.13-1.68), with type 1 cases being at highest risk (odds ratio, 1.71; 95% CI, 1.40-2.09). The metaregression results indicated that elevation and ruggedness index were negatively associated with the risk of HFRS, while the distance to rivers interacted with these associations. Conclusions and Relevance: This cross-sectional study of the long-term association between flooding and HFRS incidence, as well as the modification effects of geographical factors, suggests that severe floods were associated with an increased risk of HFRS within 3 years. This study provides evidence for the development of HFRS prevention and control strategies after floods.
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