{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T13:55:36Z","timestamp":1792418136440,"version":"4.4.0"},"reference-count":33,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Dengue remains a major mosquito\u2010borne disease in China. The COVID\u201019 pandemic and associated non\u2010pharmaceutical interventions (NPIs) profoundly altered human mobility and public health responses, potentially reshaping dengue transmission dynamics. However, comprehensive nationwide evidence on their long\u2010term epidemiological impact is limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to evaluate changes in dengue epidemiology in China before, during, and after the COVID\u201019 pandemic, with a focus on temporal periodicity, importation and indigenous transmission, counterfactual deviations from pre\u2010pandemic trends, and spatial risk redistribution.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We conducted a nationwide retrospective spatiotemporal study using reported dengue cases in China from 2015 to 2024. Epidemiological characteristics were compared across pre\u2010pandemic, pandemic, and post\u2010pandemic phases. Morlet wavelet analysis was used to assess temporal periodicity. A SARIMA model fitted to pre\u2010pandemic data generated counterfactual forecasts for 2020\u20132024. Spatial patterns were evaluated using provincial incidence mapping, Global Moran's\n                      <jats:italic>I<\/jats:italic>\n                      , and Local Indicators of Spatial Association.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 87\u2009182 dengue cases were reported, with major peaks in 2019 and 2024. Imported cases declined sharply during 2020\u20132022 and rebounded after 2023, whereas indigenous transmission became increasingly dominant. Annual periodicity weakened during the pandemic but re\u2010emerged after 2023. Observed incidence during 2020\u20132022 was frequently below counterfactual expectations, while substantial positive deviations appeared from mid\u20102023 and intensified in 2024. Post\u2010pandemic dengue risk re\u2010emerged in South and Southwest China and expanded inland, with weaker provincial clustering.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>COVID\u201019 and related NPIs substantially reshaped dengue epidemiology in China, suppressing transmission during 2020\u20132022 but followed by a marked post\u2010pandemic resurgence, increasing indigenous transmission, disrupted but re\u2010emerging seasonality, and broader inland spread.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jmv.71162","type":"journal-article","created":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T10:49:03Z","timestamp":1790333343000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Changes in Dengue Epidemiology in China Before, During, and After COVID\u201019 2015\u20132024: A Retrospective National Surveillance and Spatiotemporal Study"],"prefix":"10.1002","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7717-113X","authenticated-orcid":false,"given":"Yu","family":"Chen","sequence":"first","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 &amp; Chinese Academy of Preventive Medicine Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0628-4748","authenticated-orcid":false,"given":"Meng","family":"Shang","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 &amp; Chinese Academy of Preventive Medicine Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengping","family":"Dou","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 &amp; Chinese Academy of Preventive Medicine Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoxu","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 &amp; Chinese Academy of Preventive Medicine Beijing China"},{"name":"Department of Vector Control, School of Public Health Cheeloo College of Medicine, Shandong University Jinan City Shandong Province China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoqiang","family":"Ji","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 &amp; Chinese Academy of Preventive Medicine Beijing China"},{"name":"Department of Vector Control, School of Public Health Cheeloo College of Medicine, Shandong University Jinan City Shandong Province China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4066-7988","authenticated-orcid":false,"given":"Qiyong","family":"Liu","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 &amp; 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