{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T09:16:21Z","timestamp":1788340581880,"version":"build-2803163510"},"reference-count":58,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T00:00:00Z","timestamp":1784678400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T00:00:00Z","timestamp":1784678400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12201562"],"award-info":[{"award-number":["12201562"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Zoonoses and Public Health"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Brucellosis is a major zoonotic disease that poses significant public health and socio\u2010economic threats. In China, human brucellosis incidence has continued to rise, including in highly developed regions such as Zhejiang Province, despite relatively low levels of livestock husbandry. This study investigates the recent surge in human brucellosis in Zhejiang, aiming to identify key risk factors and inform prevention strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We collected case data from 11 municipal divisions of Zhejiang Province (2018\u20132023). To overcome limitations of conventional clustering methods, we applied Bayesian spatiotemporal models, global autocorrelation analysis, variance inflation factor analysis and Spearman correlation analysis. Sheep and cattle production, socio\u2010economic metrics and climatic variables were incorporated to examine disease distribution, quantify risk factors and identify high\u2010risk areas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Human brucellosis showed marked regional variation and spatiotemporal clustering. Elevated risks were observed in Huzhou, Jiaxing, Quzhou and Lishui, while Zhoushan, Ningbo, Taizhou, Wenzhou and Hangzhou displayed lower risks. Live sheep imports and slaughter volumes were the dominant factors, positively correlated with incidence (RR\u2009=\u20091.1816, 95% CI: 1.0096\u20131.3880; RR\u2009=\u20091.6175, 95% CI: 1.1883\u20132.3546). These findings underscore the importance of livestock trade and slaughter practices in shaping transmission dynamics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Targeted prevention strategies are urgently needed in developed regions such as Zhejiang. We recommend strengthening the brucellosis prevention framework, enhancing regulatory oversight of live sheep transport and slaughter in high\u2010risk areas and leveraging modern information technologies (e.g., AI and big data) for surveillance and decision support. This study advances the theoretical and practical framework for brucellosis prevention and offers insights for both regional and national disease control, contributing to public health protection and sustainable livestock development.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/zph.70076","type":"journal-article","created":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T04:20:12Z","timestamp":1784780412000},"page":"547-562","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatiotemporal Analysis of the Primary Factors and Risk Quantification of Human Brucellosis Prevention and Control in Zhejiang Province of China"],"prefix":"10.1111","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1715-9141","authenticated-orcid":false,"given":"Juan","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology (School of Artificial Intelligence) Zhejiang Sci\u2010Tech University  Hangzhou People's Republic of China"},{"name":"Ministry of Education Key Laboratory of NSLSCS, School of Mathematical Sciences Nanjing Normal University  Nanjing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology (School of Artificial Intelligence) Zhejiang Sci\u2010Tech University  Hangzhou People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhejiang Provincial Center for Animal Disease Control and Prevention  Hangzhou People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology (School of Artificial Intelligence) Zhejiang Sci\u2010Tech University  Hangzhou People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8204-7616","authenticated-orcid":false,"given":"Yongzhong","family":"Song","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory of NSLSCS, School of Mathematical Sciences Nanjing Normal University  Nanjing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimin","family":"Sun","sequence":"additional","affiliation":[{"name":"Zhejiang Provincial Center for Disease Control and Prevention  Hangzhou People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongli","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang Provincial Center for Animal Disease Control and Prevention  Hangzhou People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2718-595X","authenticated-orcid":false,"given":"Huaiping","family":"Zhu","sequence":"additional","affiliation":[{"name":"LAMPS and Centre of Diseases Modeling CDM, Department of Mathematics and Statistics York University  Toronto Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,22]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"24 Network of Weather.2024.\u201cHistorical Data of Meteorological Observation in Zhejiang Province.\u201dhttps:\/\/www.tianqi24.com\/hangzhou\/history.html."},{"key":"e_1_2_10_3_1","unstructured":"Agriculture and Rural Affairs of Zhejiang Province.2022.\u201cFive\u2010Year Action Plan for Brucellosis Prevention and Control in Zhejiang Province 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