Lin Qianying, Shrestha Sourya, Zhao Shi, Chiu Alice P Y, Liu Yao, Yu Chunbao, Tao Ningning, Li Yifan, Shao Yang, He Daihai, Li Huaichen
Department of Applied Mathematics, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, United States.
Front Med (Lausanne). 2022 Mar 9;9:810382. doi: 10.3389/fmed.2022.810382. eCollection 2022.
Tuberculosis (TB) incidence has been in steady decline in China over the last few decades. However, ongoing demographic transition, fueled by aging, and massive internal migration could have important implications for TB control in the future. We collated data on TB notification, demography, and drug resistance between 2004 and 2017 across seven cities in Shandong, the second most populous province in China. Using these data, and age-period-cohort models, we (i) quantified heterogeneities in TB incidence across cities, by age, sex, resident status, and occupation and (ii) projected future trends in TB incidence, including drug-resistant TB (DR-TB). Between 2006 and 2017, we observed (i) substantial variability in the rates of annual change in TB incidence across cities, from -4.84 to 1.52%; (ii) heterogeneities in the increments in the proportion of patients over 60 among reported TB cases differs from 2 to 13%, and from 0 to 17% for women; (iii) huge differences across cities in the annual growths in TB notification rates among migrant population between 2007 and 2017, from 2.81 cases per 100K migrants per year in Jinan to 22.11 cases per 100K migrants per year in Liaocheng, with drastically increasing burden of TB cases from farmers; and (iv) moderate and stable increase in the notification rates of DR-TB in the province. All of these trends were projected to continue over the next decade, increasing heterogeneities in TB incidence across cities and between populations. To sustain declines in TB incidence and to prevent an increase in Multiple DR-TB (MDR-TB) in the future in China, future TB control strategies may (i) need to be tailored to local demography, (ii) prioritize key populations, such as elderly and internal migrants, and (iii) enhance DR-TB surveillance.
在过去几十年中,中国的结核病发病率一直在稳步下降。然而,由老龄化推动的持续人口结构转变以及大规模的国内人口迁移可能对未来的结核病控制产生重要影响。我们整理了2004年至2017年期间中国人口第二大省山东省七个城市的结核病报告、人口统计学和耐药性数据。利用这些数据以及年龄-时期-队列模型,我们(i)按年龄、性别、居住状况和职业对各城市结核病发病率的异质性进行了量化,(ii)预测了结核病发病率的未来趋势,包括耐多药结核病(MDR-TB)。在2006年至2017年期间,我们观察到:(i)各城市结核病发病率的年变化率存在很大差异,从-4.84%到1.52%;(ii)报告的结核病病例中60岁以上患者比例的增幅存在异质性,从2%到13%不等,女性从0%到17%不等;(iii)2007年至2017年期间,各城市流动人口中结核病报告率的年增长率差异巨大,从济南每年每10万流动人口中的2.81例到聊城每年每10万流动人口中的22.11例,农民结核病病例负担急剧增加;(iv)该省耐多药结核病报告率呈适度且稳定的上升趋势。所有这些趋势预计在未来十年将持续,各城市之间以及不同人群之间结核病发病率的异质性将增加。为了在中国维持结核病发病率的下降并防止未来耐多药结核病的增加,未来的结核病控制策略可能(i)需要根据当地人口结构进行调整,(ii)优先关注重点人群,如老年人和国内流动人口,(iii)加强耐多药结核病监测。