{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T18:12:47Z","timestamp":1793124767675,"version":"4.5.0"},"reference-count":42,"publisher":"American Medical Association (AMA)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi240902-4\"><jats:title>Importance<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi240902-5\"><jats:title>Objectives<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi240902-6\"><jats:title>Design, Setting, and Participants<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi240902-7\"><jats:title>Exposures<\/jats:title><jats:p>City-level monthly flooding, elevation, ruggedness index, and closest distance from each city to the Yangtze River and its tributaries.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi240902-8\"><jats:title>Main Outcomes and Measures<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi240902-9\"><jats:title>Results<\/jats:title><jats:p>A total of 11\u202f745 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.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi240902-10\"><jats:title>Conclusions and Relevance<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2024.29682","type":"journal-article","created":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T17:51:30Z","timestamp":1724349090000},"page":"e2429682","source":"Crossref","is-referenced-by-count":13,"title":["The 2016 Severe Floods and Incidence of Hemorrhagic Fever With Renal Syndrome in the Yangtze River Basin"],"prefix":"10.1001","volume":"7","author":[{"given":"Haoqiang","family":"Ji","sequence":"first","affiliation":[{"name":"Department of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong Province, Jinan, People\u2019s Republic of China"},{"name":"National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping District, 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Changping District, Beijing, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Shang","sequence":"additional","affiliation":[{"name":"Department of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong Province, Jinan, People\u2019s Republic of China"},{"name":"National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping District, Beijing, People\u2019s Republic of China"},{"name":"World Health Organization Collaborating Centre for Vector Surveillance and Management, Changping District, Beijing, People\u2019s Republic of China"},{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong Province, Jinan, People\u2019s Republic of China"},{"name":"Shandong University Climate Change and Health Center, Shandong Province, Jinan, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenxu","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping District, Beijing, People\u2019s Republic of China"},{"name":"World Health Organization Collaborating Centre for Vector Surveillance and Management, Changping District, Beijing, People\u2019s Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiyong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong Province, Jinan, People\u2019s Republic of China"},{"name":"National Key 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