{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T02:32:40Z","timestamp":1783823560313,"version":"3.55.0"},"reference-count":53,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T00:00:00Z","timestamp":1757462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>China faces significant challenges in ending tuberculosis (TB). Active case finding (ACF) and TB preventive therapy (TPT) have proven to be critical measures in reducing TB incidence. This study uses a transmission dynamics model to identify the optimal intervention strategies for achieving WHO\u2019s TB elimination targets in Shangrao City. The findings guide targeted TB control efforts in similar settings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>To account for COVID-19 pandemic disruptions, we first used a seasonal autoregressive integrated moving average (SARIMA) model to predict and substitute the reported TB incidence during 2020\u20132023. Subsequently, we developed an age-stratified dynamic transmission model using surveillance data from Shangrao City\u2019s Infectious Diseases Reporting System (IDRS) between 2008 and 2023 to evaluate tuberculosis transmission patterns across age groups. The model assessed the effectiveness of key interventions including active case finding (ACF), latent tuberculosis infection (LTBI) screening, and tuberculosis preventive treatment (TPT).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The model fit well with the reported data (R\n                      <jats:sup>2<\/jats:sup>\n                      \u202f=\u202f0.53,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.001). Preventive treatment measures can fully achieve the goal of reducing incidence. All five TPT regimens showed potential to meet the TB elimination targets, with the 3HP regimen (weekly rifapentine + isoniazid for 3\u202fmonths) performing the best. With the proportion of post-detection consent to TPT of 0.6 and rate of LTBI screening of 0.5, the 3HP regimen met the 2030 and 2035 incidence targets, with projected rates of 15.27\/100,000 and 7.98\/100,000, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The current TB control efforts face significant challenges, with a considerable gap remaining in achieving TB elimination targets. Combining ACF with TPT presents a promising strategy to reach these goals. Older tuberculosis (TB) patients constitute a high-risk population, and effective prevention and treatment in this group are critical to achieving future TB elimination goals. To reduce the risk of recurrence and reinfection, enhanced follow-up monitoring of older patients should be prioritised alongside targeted health education interventions tailored to high-risk groups.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2025.1614339","type":"journal-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T05:26:56Z","timestamp":1757482016000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Feasibility of ending tuberculosis in Shangrao City through active intervention measures: a mathematical study"],"prefix":"10.3389","volume":"13","author":[{"given":"Mingshu","family":"Xu","sequence":"first","affiliation":[{"name":"Shangrao Centre for Disease Control and Prevention","place":["Shangrao City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"He","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Vaccines for Infectious Disease, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Intergration in Vaccine Research, School of Public Health, Xiamen University","place":["Xiamen City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiao","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Vaccines for Infectious Disease, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Intergration in Vaccine Research, School of Public Health, Xiamen University","place":["Xiamen City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiuping","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Vaccines for Infectious Disease, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Intergration in Vaccine Research, School of Public Health, Xiamen University","place":["Xiamen City, China"]},{"name":"CIRAD, URM 17, Intertryp","place":["Montpellier, France"]},{"name":"Universit\u00e9 de Montpellier","place":["Montpellier, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Vaccines for Infectious Disease, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Intergration in Vaccine Research, School of Public Health, Xiamen University","place":["Xiamen City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Xu","sequence":"additional","affiliation":[{"name":"Shangrao Centre for Disease Control and Prevention","place":["Shangrao City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chongfei","family":"Shu","sequence":"additional","affiliation":[{"name":"Shangrao Centre for Disease Control and Prevention","place":["Shangrao City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Xia","sequence":"additional","affiliation":[{"name":"Shangrao Centre for Disease Control and Prevention","place":["Shangrao City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuyan","family":"Yang","sequence":"additional","affiliation":[{"name":"Shangrao Centre for Disease Control and Prevention","place":["Shangrao City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurent","family":"Gavotte","sequence":"additional","affiliation":[{"name":"Espace-Dev, Universit\u00e9 de Montpellier","place":["Montpellier, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roger","family":"Frutos","sequence":"additional","affiliation":[{"name":"CIRAD, URM 17, Intertryp","place":["Montpellier, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiming","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Fujian Key Clinical Specialty of Laboratory Medicine, Women and Children\u2019s Hospital, School of Medicine, Xiamen University","place":["Xiamen City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanhua","family":"Su","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Vaccines for Infectious Disease, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Intergration in Vaccine Research, School of Public Health, Xiamen University","place":["Xiamen City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolan","family":"Wang","sequence":"additional","affiliation":[{"name":"Shangrao People\u2019s Hospital","place":["Shangrao City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Liu","sequence":"additional","affiliation":[{"name":"Shangrao Centre for Disease Control and Prevention","place":["Shangrao City, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,9,10]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1186\/s12976-020-00124-9","article-title":"Modeling and dynamic analysis of tuberculosis in mainland China from 1998 to 2017: the effect of DOTS strategy and further control","volume":"17","author":"Liu","year":"2020","journal-title":"Theor Biol Med 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