{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T05:44:04Z","timestamp":1777268644694,"version":"3.51.4"},"update-to":[{"DOI":"10.1371\/journal.pntd.0013066","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T00:00:00Z","timestamp":1746489600000}}],"reference-count":37,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23A20496, 82173577"],"award-info":[{"award-number":["U23A20496, 82173577"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Zhejiang Province Vanguard Goose-Leading Initiative","award":["2024C03216"],"award-info":[{"award-number":["2024C03216"]}]},{"DOI":"10.13039\/501100008990","name":"Department of Science and Technology of Zhejiang Province","doi-asserted-by":"crossref","award":["2025C02186"],"award-info":[{"award-number":["2025C02186"]}],"id":[{"id":"10.13039\/501100008990","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Key Program of Health Commission of Zhejiang Province\/Science Foundation of National Health Commission","award":["WKJ-ZJ-2523"],"award-info":[{"award-number":["WKJ-ZJ-2523"]}]}],"content-domain":{"domain":["www.plosntds.org"],"crossmark-restriction":false},"short-container-title":["PLoS Negl Trop Dis"],"abstract":"<jats:sec id=\"sec014\">\n<jats:title>Background<\/jats:title>\n<jats:p>Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease, garnering increasing attention due to rising case numbers and expanding geographical reach. However, there is limited research on the potential factors influencing the distribution of SFTS.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec015\">\n<jats:title>Methods<\/jats:title>\n<jats:p>Data on SFTS cases in Zhejiang province were obtained from 2011 to 2022. Data on ecoclimatic factors, land cover, and human population density at the county level were also collected. Spatial autocorrelation analysis was used to analyze the epidemic characteristics and spatial clustering. A boosted regression tree (BRT) model was used to assess ecoclimatic and socioenvironmental drivers for the distributions of SFTS.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec016\">\n<jats:title>Results<\/jats:title>\n<jats:p>The SFTS cases increased from 9 in 2011\u20131,103 in 2022 with an average incidence rate of 0.099 per 100,000. There is an obvious seasonality to SFTS cases, primarily occurring between April and August. We detected global spatial autocorrelation of SFTS cases in all years (P\u2009&lt;\u20090.05) except 2011, 2012 and 2014. Local spatial autocorrelation analysis suggested that the \u201cHigh-high\u201d agglomeration areas are mainly distributed in the hilly terrain of the east coast of Zhejiang province. Furthermore, factors such as mean temperature of wettest quarter (relative contribution, RC\u2009=\u200918.51%) and annual precipitation (9.29%) were found to have significantly contribution to the occurrence of SFTS. The model-predicted risk areas, particularly in Daishan County (predicted probability of cases: 0.986), Linhai city (0.972), and Tiantai County (0.971), align with reported cases.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec017\">\n<jats:title>Conclusions<\/jats:title>\n<jats:p>These findings suggested that SFTS incidence has increased and spatially expanded over the past few years. It is necessary to expand the scope and improve the sensitivity of surveillance, especially in western, southern and northern Zhejiang.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pntd.0013066","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T17:30:14Z","timestamp":1745602214000},"page":"e0013066","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":3,"title":["Epidemiological characteristics and risk distribution prediction of severe fever with thrombocytopenia syndrome in Zhejiang Province, 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