{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T14:48:40Z","timestamp":1772894920101,"version":"3.50.1"},"reference-count":32,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100013139","name":"Humanities and Social Science Fund of Ministry of Education of China","doi-asserted-by":"publisher","award":["24YJA770014"],"award-info":[{"award-number":["24YJA770014"]}],"id":[{"id":"10.13039\/501100013139","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012149","name":"National Key Scientific Instrument and Equipment Development Projects of China","doi-asserted-by":"publisher","award":["11AZS009"],"award-info":[{"award-number":["11AZS009"]}],"id":[{"id":"10.13039\/501100012149","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosntds.org"],"crossmark-restriction":false},"short-container-title":["PLoS Negl Trop Dis"],"abstract":"<jats:p>Based on plague disaster and climate data from China between 1912 and 1949, this study comprehensively employed the Mann-Whitney U test, mutation test, and optimal parameter geographic detector to investigate the relationship between plague epidemic characteristics and climate change across different geographic regions. Findings reveal significant spatiotemporal divergence in plague epidemics between northern and southern China: Southern plague exhibits a clearly defined \u201chigh-amplitude stable decline\u201d trend, while northern plague shows a slow downward trajectory amid intense fluctuations, lacking a significant linear trend. Moreover, all three plague hotspots highly overlap with natural reservoirs. This divergence stems from fundamentally different climate-driven mechanisms in the north and south, with interactive detection indicating that synergistic effects between dual factors generally outweigh single-factor impacts. Northern plague is jointly controlled by precipitation fluctuations and thermal variations, primarily driven by the interaction between annual precipitation and trends in annual mean high temperatures (q-value: 31.46%); In contrast, southern plague is more sensitive to warming transitions in the climate system, primarily governed by the synergistic effects of annual temperature difference variations and trends in low temperatures, precipitation, and mean temperature (q-values: 38.44%, 34.92%, and 34.77%). Spatio-temporal coupling analysis further reveals that climate abruptions act as temporal triggers for epidemic shifts: Northern plague exhibits delayed peaks 1\u20132 years after precipitation abruptions, while Southern plague frequency declines during high-temperature abruptions. Spatially, high-value zones of Northern annual high-temperature trends form ecological barriers segmenting adjacent hotspots, whereas Southern low-value zones of annual temperature difference trends correspond to plague hotspots. By elucidating historical variations in plague sensitivity to climate fluctuations, this study provides crucial historical evidence and reference for contemporary plague surveillance and public health risk assessment under climate change.<\/jats:p>","DOI":"10.1371\/journal.pntd.0014036","type":"journal-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T18:35:53Z","timestamp":1772822153000},"page":"e0014036","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Study on the differentiated impact of climate change on plague epidemics in Northern and Southern China, 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