{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T02:06:11Z","timestamp":1787018771888,"version":"build-2736575974"},"reference-count":29,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T00:00:00Z","timestamp":1763078400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"the Innovation Project of GUET Graduate Education","award":["2023YJSCX01"],"award-info":[{"award-number":["2023YJSCX01"]}]},{"DOI":"10.13039\/100012547","name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region","doi-asserted-by":"publisher","award":["2024GXNSFAA010475"],"award-info":[{"award-number":["2024GXNSFAA010475"]}],"id":[{"id":"10.13039\/100012547","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Science and Technology Project of Guangxi","award":["GuikeAD25069086"],"award-info":[{"award-number":["GuikeAD25069086"]}]},{"name":"Innovation Project of Guangxi Graduate Education","award":["JGY2025159"],"award-info":[{"award-number":["JGY2025159"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12561089"],"award-info":[{"award-number":["12561089"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Med Decis Making"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Cervical cancer, driven predominantly by persistent high-risk human papillomavirus (HPV) infection, ranks as the fourth most common malignancy in women worldwide. China faces barriers to achieving the World Health Organization (WHO) 2030 elimination targets due to low vaccination rates and complex demographics. Strategic intervention optimization is critical for accelerating elimination.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We developed an age-stratified deterministic compartmental model integrating demographic data and HPV transmission dynamics, capturing heterogeneity in age, sex, sexual activity, and intervention efficacy. The model simulated cervical cancer natural history, including HPV infection, progression to precancerous lesions, and invasive cancer and was calibrated using epidemiological data from the Global Burden of Disease. We evaluated multiple vaccination scenarios (varying coverage rates, age groups, and durations) to project incidence trajectories, estimate elimination timelines, and calculate the reproduction number. Sensitivity analyses were conducted to assess parameter effects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Without vaccination, HPV infection becomes endemic (R\n                      <jats:sub>0<\/jats:sub>\n                      = 1.38), causing 2.92\u2009million cervical cancer cases in China during 2021 to 2070. Maintaining the 2020 vaccination rate would prevent 1.01\u2009million cases in this period. While prioritizing females aged 15 to 26 y maximizes the per-dose impact, expanding vaccination to all females aged \u226515 y is essential for achieving elimination before 2040. Even single-year vaccination would confer &gt;50-y protection. A higher vaccination rate accelerates elimination: annual rates of 0.09, 0.15, and 0.21 among females aged \u226515 y achieve elimination by 2037, 2035, and 2034, respectively, accelerating timelines by 15 to 20\u2009y compared with strategies targeting only 15- to 26-y-olds.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>HPV vaccination is pivotal for reducing cervical cancer burden in China, with prioritizing women aged 15 to 26 y as the optimal strategy. Expanding vaccination to all women aged \u226515 y can accelerate the achievement of WHO elimination targets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:list list-type=\"bullet\">\n                      <jats:list-item>\n                        <jats:p>An age-stratified model simulates HPV transmission patterns and assesses cervical cancer interventions.<\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>\n                          Without intervention, HPV remains endemic (R\n                          <jats:sub>0<\/jats:sub>\n                          = 1.38), causing 2.92\u2009million cervical cancer cases in China (2021\u20132070).\n                        <\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>Prioritizing 15- to 26-y-olds maximizes the per-dose impact, but expanding to 15+ y cohorts is essential for elimination.<\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>Even a single year of vaccination offers &gt;50\u2009y of protection.<\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>Females \u226515 y vaccinated annually at rates of 0.09, 0.15, and 0.21 achieve elimination by 2037, 2035, and 2034, respectively.<\/jats:p>\n                      <\/jats:list-item>\n                    <\/jats:list>\n                  <\/jats:sec>","DOI":"10.1177\/0272989x251388915","type":"journal-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T19:05:41Z","timestamp":1763147141000},"page":"310-320","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Vaccination Strategies against HPV Infection and Cervical Cancer in China: A Transmission Modeling Study"],"prefix":"10.1177","volume":"46","author":[{"given":"Yuanyuan","family":"Shi","sequence":"first","affiliation":[{"name":"School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, China"},{"name":"Center for Applied Mathematics of Guangxi (GUET), Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1553-5456","authenticated-orcid":false,"given":"Ning","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, China"},{"name":"Center for Applied Mathematics of Guangxi (GUET), Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyi","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1047-929X","authenticated-orcid":false,"given":"Jiufeng","family":"Sun","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7201-8925","authenticated-orcid":false,"given":"Jianling","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data 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