|
[1]
|
World Health Organization (2024) Global Tuberculosis Report 2024. WHO.
|
|
[2]
|
魏永越, 赵杨, 陈峰, 等. 传染病动力学模型的理论基础及在疫情防控中的应用价值[J]. 中华预防医学杂志, 2020, 54(6): 602-607.
|
|
[3]
|
Castillo-Chavez, C. and Feng, Z. (1998) Global Stability of an Age-Structure Model for TB and Its Applications to Optimal Vaccination Strategies. Mathematical Biosciences, 151, 135-154. [Google Scholar] [CrossRef] [PubMed]
|
|
[4]
|
Bedson, J., Skrip, L.A., Pedi, D., Abramowitz, S., Carter, S., Jalloh, M.F., et al. (2021) A Review and Agenda for Integrated Disease Models Including Social and Behavioural Factors. Nature Human Behaviour, 5, 834-846. [Google Scholar] [CrossRef] [PubMed]
|
|
[5]
|
Zhang, Q., Yang, D., Cao, L., Liu, J., Tao, N., Li, Y., et al. (2020) Association between Economic Development Level and Tuberculosis Registered Incidence in Shandong, China. BMC Public Health, 20, Article No. 1557. [Google Scholar] [CrossRef] [PubMed]
|
|
[6]
|
张照旺, 祝光湖, 唐甜. 经济效应下耐药肺结核的控制机理——基于传播模型的动力学分析[J]. 数学的实践与认识, 2023, 53(12): 135-142.
|
|
[7]
|
Dheda, K., Gumbo, T., Gandhi, N.R., Murray, M., Theron, G., Udwadia, Z., et al. (2014) Global Control of Tuberculosis: From Extensively Drug-Resistant to Untreatable Tuberculosis. The Lancet Respiratory Medicine, 2, 321-338. [Google Scholar] [CrossRef] [PubMed]
|
|
[8]
|
钟珊珊, 彭昱, 毛蓉蓉, 等. 耐药结核病的耐药机制及治疗研究进展[J]. 药学前沿, 2024, 28(2): 341-349.
|
|
[9]
|
Mathema, B., Andrews, J.R., Cohen, T., Borgdorff, M.W., Behr, M., Glynn, J.R., et al. (2017) Drivers of Tuberculosis Transmission. The Journal of Infectious Diseases, 216, S644-S653. [Google Scholar] [CrossRef] [PubMed]
|
|
[10]
|
Churchyard, G., Kim, P., Shah, N.S., Rustomjee, R., Gandhi, N., Mathema, B., et al. (2017) What We Know about Tuberculosis Transmission: An Overview. The Journal of Infectious Diseases, 216, S629-S635. [Google Scholar] [CrossRef] [PubMed]
|
|
[11]
|
Pedersen, O.S., Holmgaard, F.B., Mikkelsen, M.K.D., Lange, C., Sotgiu, G., Lillebaek, T., et al. (2023) Global Treatment Outcomes of Extensively Drug-Resistant Tuberculosis in Adults: A Systematic Review and Meta-Analysis. Journal of Infection, 87, 177-189. [Google Scholar] [CrossRef] [PubMed]
|
|
[12]
|
姚阳阳, 谷蓉蓉, 白智远. 耐药肺结核流行现状及相关研究进展[J]. 临床医学进展, 2024, 14(8): 1156-1161.
|
|
[13]
|
Singh, V. and Chibale, K. (2021) Strategies to Combat Multi-Drug Resistance in Tuberculosis. Accounts of Chemical Research, 54, 2361-2376. [Google Scholar] [CrossRef] [PubMed]
|
|
[14]
|
中国防痨协会,《中国防痨杂志》编辑委员会, 首都医科大学附属北京胸科医院/北京市结核病胸部肿瘤研究所. 耐药结核病全口服短程治疗专家共识[J]. 中国防痨杂志, 2025, 47(7): 830-839.
|
|
[15]
|
国家感染性疾病医疗质量控制中心. 肺结核诊治质量改进专家共识[J]. 中华实验和临床感染病杂志(电子版), 2025, 19(1): 9-14.
|
|
[16]
|
https://www.mot.gov.cn/shuju/index.html, 2026-03-31.
|
|
[17]
|
https://youyang.gov.cn/, 2026-02-24.
|
|
[18]
|
Delfino, D. and Simmons, P.J. (2005) Dynamics of Tuberculosis and Economic Growth. Environment and Development Economics, 10, 719-743. [Google Scholar] [CrossRef]
|
|
[19]
|
Bonds, M.H. and Rohani, P. (2010) Herd Immunity Acquired Indirectly from Interactions between the Ecology of Infectious Diseases, Demography and Economics. Journal of The Royal Society Interface, 7, 541-547. [Google Scholar] [CrossRef] [PubMed]
|
|
[20]
|
Goerg, G.M., Patterson-Lomba, O., Hébert-Dufresne, L., et al. (2014) Escaping the Poverty Trap: Modeling the Interplay between Economic Growth and the Ecology of Infectious Disease. arXiv:1311.4079.
|
|
[21]
|
Wang, H., Jiang, L. and Wang, G. (2014) Stability of a Tuberculosis Model with a Time Delay in Transmission. Journal of North University of China, 35, 238-242.
|
|
[22]
|
Okuonghae, D. (2015) A Note on Some Qualitative Properties of a Tuberculosis Differential Equation Model with a Time Delay. Differential Equations and Dynamical Systems, 23, 181-194. [Google Scholar] [CrossRef]
|
|
[23]
|
Li, J. and Ma, M. (2016) Impact of Prevention in a Tuberculosis Model with Latent Delay. Advances in Difference Equations, 2016, 1-13. [Google Scholar] [CrossRef]
|
|
[24]
|
Guo, H. and Wu, J. (2011) Persistent High Incidence of Tuberculosis among Immigrants in a Low-Incidence Country: Impact of Immigrants with Early or Late Latency. Mathematical Biosciences and Engineering, 8, 695-709.
|
|
[25]
|
许传青, 韦宵宵, 崔景安, 等. 带有外来流入人口和快慢反应的肺结核模型研究[J]. 生物数学学报, 2017, 32(1): 75-83.
|
|
[26]
|
Xu, C., Huang, X., Cui, J., Zhang, Z., Feng, Y. and Cheng, K. (2023) Meta-Population Model about Immigrants and Natives with Heterogeneity Mixing and Vaccine Strategy of Tuberculosis in China. International Journal of Biomathematics, 16, Article 2250121. [Google Scholar] [CrossRef]
|
|
[27]
|
Zhao, Y., Li, M. and Yuan, S. (2017) International Journal of Environmental Research and Public Health, 14, Article 1192. [Google Scholar] [CrossRef] [PubMed]
|
|
[28]
|
赖铿, 江坤洪, 谢玮, 等. 2014-2020年广州市流动人口肺结核流行特征分析[J]. 中国防痨杂志, 2021, 43(8): 796-802.
|
|
[29]
|
Kapitanov, G. (2015) A Double Age-Structured Model of the Co-Infection of Tuberculosis and HIV. Mathematical Biosciences and Engineering, 12, 23-40. [Google Scholar] [CrossRef] [PubMed]
|
|
[30]
|
范琳. 营养治疗: 结核病化学治疗最重要的辅助治疗方法之一[J]. 中国防痨杂志, 2023, 45(9): 823-825.
|
|
[31]
|
Jiang, S., Wang, H. and Hu, Y. (2025) Analysis of Drug-Resistant Tuberculosis Transmission Dynamics in China Using Fractional Stochastic Model. PLOS ONE, 20, e0335889. [Google Scholar] [CrossRef]
|
|
[32]
|
Bui, V.L., Hughes, A.E., Ragonnet, R., Meehan, M.T., Henderson, A., McBryde, E.S., et al. (2024) Agent-Based Modelling of Mycobacterium Tuberculosis Transmission: A Systematic Review. BMC Infectious Diseases, 24, Article No. 1394. [Google Scholar] [CrossRef] [PubMed]
|
|
[33]
|
Yang, J., Kuniya, T., Xu, F. and Chen, Y. (2018) Journal of Biological Systems, 26, 533-552. [Google Scholar] [CrossRef]
|
|
[34]
|
Kuddus, M.A., Meehan, M.T., White, L.J., McBryde, E.S. and Adekunle, A.I. (2020) Modeling Drug-Resistant Tuberculosis Amplification Rates and Intervention Strategies in Bangladesh. PLOS ONE, 15, e0236112. [Google Scholar] [CrossRef] [PubMed]
|
|
[35]
|
Kuddus, M.A. and Paul, A.K. (2023) Global Dynamics of a Two-Strain Disease Model with Amplification, Nonlinear Incidence and Treatment. Iranian Journal of Science, 47, 259-274. [Google Scholar] [CrossRef]
|
|
[36]
|
Xu, A., Wen, Z., Wang, Y. and Wang, W. (2022) Prediction of Different Interventions on the Burden of Drug-Resistant Tuberculosis in China: A Dynamic Modelling Study. Journal of Global Antimicrobial Resistance, 29, 323-330. [Google Scholar] [CrossRef] [PubMed]
|
|
[37]
|
王廉皓, 李涛, 腊彬, 等. 基于动力学模型预测世界卫生组织推荐耐多药/利福平耐药结核病治疗方案对我国结核病流行影响的研究[J]. 疾病监测, 2024, 39(4): 420-426.
|
|
[38]
|
张华龙, 祝光湖, 陈思行. 耐药肺结核的传播动力学和关键因素分析[J]. 桂林电子科技大学学报, 2018, 38(1): 75-81.
|
|
[39]
|
DeNegre, A.A., Myers, K. and Fefferman, N.H. (2020) Impact of Chemorophylaxis Policy for Aids-Immunocompromised Patients on Emergence of Bacterial Resistance. PLOS ONE, 15, e0225861. [Google Scholar] [CrossRef] [PubMed]
|
|
[40]
|
Fuller, N.M., McQuaid, C.F., Harker, M.J., Weerasuriya, C.K., McHugh, T.D. and Knight, G.M. (2024) Mathematical Models of Drug-Resistant Tuberculosis Lack Bacterial Heterogeneity: A Systematic Review. PLOS Pathogens, 20, e1011574. [Google Scholar] [CrossRef] [PubMed]
|
|
[41]
|
Yu, Y., Shi, Y. and Yao, W. (2018) Dynamic Model of Tuberculosis Considering Multi-Drug Resistance and Their Applications. Infectious Disease Modelling, 3, 362-372. [Google Scholar] [CrossRef] [PubMed]
|
|
[42]
|
Ullah, I., Ahmad, S. and Zahri, M. (2023) Investigation of the Effect of Awareness and Treatment on Tuberculosis Infection via a Novel Epidemic Model. Alexandria Engineering Journal, 68, 127-139. [Google Scholar] [CrossRef]
|
|
[43]
|
Peter, O.J., Aldila, D., Ayoola, T.A., Balogun, G.B. and Oguntolu, F.A. (2025) Modeling Tuberculosis Dynamics with Vaccination and Treatment Strategies. Scientific African, 28, e02647. [Google Scholar] [CrossRef]
|
|
[44]
|
Jit, M. and Brisson, M. (2011) Modelling the Epidemiology of Infectious Diseases for Decision Analysis: A Primer. PharmacoEconomics, 29, 371-386. [Google Scholar] [CrossRef] [PubMed]
|
|
[45]
|
Bloom, D.E., Cafiero-Fonseca, E.T., McGovern, M.E., Prettner, K., Stanciole, A., Weiss, J., et al. (2014) The Macroeconomic Impact of Non-Communicable Diseases in China and India: Estimates, Projections, and Comparisons. The Journal of the Economics of Ageing, 4, 100-111. [Google Scholar] [CrossRef]
|
|
[46]
|
Keogh-Brown, M.R., Sumner, T., Sweeney, S., Vassall, A. and Jensen, H.T. (2024) Estimating the Health and Macroeconomic Burdens of Tuberculosis in India, 2021-2040: A Fully Integrated Modelling Study. PLOS Medicine, 21, e1004491. [Google Scholar] [CrossRef] [PubMed]
|
|
[47]
|
Yadav, P.K. and Goel, P. (2025) Mathematical Model for Analysing the Interplay between Income, Nutrition, and Tuberculosis Dynamics. Computers in Biology and Medicine, 196, Article 110858. [Google Scholar] [CrossRef] [PubMed]
|
|
[48]
|
周文雍, 文泽轩, 高梦贤, 等. 全国结核病免费医疗策略实施的效果和影响预测[J]. 中国防痨杂志, 2023, 45(9): 840-851.
|
|
[49]
|
Munro, S.A., Lewin, S.A., Smith, H.J., Engel, M.E., Fretheim, A. and Volmink, J. (2007) Patient Adherence to Tuberculosis Treatment: A Systematic Review of Qualitative Research. PLOS Medicine, 4, e238. [Google Scholar] [CrossRef] [PubMed]
|
|
[50]
|
Jiang, H., Li, R., Zhang, T., Wang, Q., Liu, H., Hua, Z., et al. (2025) Cost-Effectiveness of Preventive Treatment Regimens for Latent Tuberculosis Infection among Key Community-Level Populations. BMC Medicine, 23, Article No. 593. [Google Scholar] [CrossRef]
|
|
[51]
|
Du, H., Zahn, M.V., Loo, S.L., Alleman, T.W., Truelove, S., Patenaude, B., et al. (2025) Improving Policy Design and Epidemic Response Using Integrated Models of Economic Choice and Disease Dynamics with Behavioral Feedback. PLOS Computational Biology, 21, e1013549. [Google Scholar] [CrossRef]
|
|
[52]
|
Rist, C.L., Ngonghala, C.N., Garchitorena, A., Brook, C.E., Ramananjato, R., Miller, A.C., et al. (2015) Modeling the Burden of Poultry Disease on the Rural Poor in Madagascar. One Health, 1, 60-65. [Google Scholar] [CrossRef] [PubMed]
|
|
[53]
|
Zhang, Z., Kong, L., Lin, H. and Zhu, G. (2021) Modeling Coupling Dynamics between the Transmission, Intervention of COVID-19 and Economic Development. Results in Physics, 28, Article 104632. [Google Scholar] [CrossRef] [PubMed]
|
|
[54]
|
van den Driessche, P. and Watmough, J. (2002) Reproduction Numbers and Sub-Threshold Endemic Equilibria for Compartmental Models of Disease Transmission. Mathematical Biosciences, 180, 29-48. [Google Scholar] [CrossRef] [PubMed]
|
|
[55]
|
Freedman, H.I. and Ruan, S.G. (1995) Uniform Persistence in Functional Differential Equations. Journal of Differential Equations, 115, 173-192. [Google Scholar] [CrossRef]
|
|
[56]
|
Cheng, W., Ma, W. and Guo, S. (2016) A Class of Virus Dynamic Model with Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells and Its Stability Analysis. Journal of Biological Dynamics, 10, 393-412.
|
|
[57]
|
赵飞, 杜昕, 李涛, 等. 基于世界卫生组织公共数据库的中国结核病流行趋势与预测[J]. 临床药物治疗杂志, 2018, 16(4): 1-3+8.
|
|
[58]
|
Husereau, D., Drummond, M., Augustovski, F., de Bekker-Grob, E., Briggs, A.H., Carswell, C., et al. (2022) Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 Explanation and Elaboration: A Report of the ISPOR CHEERS II Good Practices Task Force. Value in Health, 25, 10-31. [Google Scholar] [CrossRef] [PubMed]
|
|
[59]
|
Pitman, R., Fisman, D., Zaric, G.S., Postma, M., Kretzschmar, M., Edmunds, J., et al. (2012) Dynamic Transmission Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group-5. Medical Decision Making, 32, 712-721. [Google Scholar] [CrossRef] [PubMed]
|
|
[60]
|
https://www.gov.cn/zhengce/zhengceku/202412/content_6991217.htm, 2024-11-28.
|
|
[61]
|
World Health Organization (2015) End TB Strategy. WHO.
|