慢性病流行病学、理论流行病学与健康决策科学
1. 国家自然科学基金面上项目(81973132),“基于阶梯设计的心血管病风险评估及动态预警的干预效果评价”,2020/01-2023/12,在研,项目负责人;
2. 国家重点研发计划项目(2020YFC2003503),“10大慢病一体化在线智能预测预警关键技术研究”,2020/07-2023/07,在研,项目组主要成员;
3. 国家自然科学基金国际合作项目(81961128006),“糖尿病患者心血管疾病发病风险预测——中国和新西兰人群队列的比较研究”,2019/07-2021/06,已结题,项目组主要成员;
4. 国家自然科学基金面上项目(81573226),“基于通路分析和遗传风险评分的缺血性脑卒中发病风险预测”,2016/01-2019/12,已结题,项目负责人;
5. 国家自然科学基金重大研究计划滚动项目(91846112),“基于综合风险评估和人群动态预警的健康管理研究——以心血管疾病为例”,2019/01-2019/12,已结题,项目组主要成员;
6. 国家自然科学基金重大研究计划培育项目(91546120),“基于大数据的人群心血管疾病风险预测模型构建及应用研究”,2016/01-2018/12,已结题,项目组主要成员;
7. 北京市自然科学基金面上项目(7162107),“基于通路分析和家系连锁定位的缺血性脑卒中遗传流行病学研究”,2016/01-2018/12,已结题,项目负责人;
8. 国家自然科学基金重点项目(81230066),“北方农村地区居民常见慢性非传染性疾病的家系队列研究”,2013/01-2017/12,已结题,项目组主要成员;
9. 国家自然科学基金面上项目(81172744),“缺血性脑卒中遗传易感性的家系研究”,2012/01-2015/12,已结题,项目组主要成员;
10. 国家自然科学基金青年科学基金项目(81102177),“基于人群和家系复合设计的缺血性脑卒中遗传流行病学交互作用研究”,2012/01-2014/12,已结题,项目负责人;
1. Chen Q#, Liu Q#, Gong C#, Yin W, Mu D, Li Y, Ding S, Liu Y, Yang H, Zhou S, Chen S, Tao Z, Zhang Y*, Tang X*. Strategies to inTerrupt RAbies Transmission for the Elimination Goal by 2030 In China (STRATEGIC): a modelling study. BMC Medicine. 2023; 21:100. (* co-corresponding authors)
2. Li W, Chen J, He X, Wang J, Wei C, Tang X*, Gao P*. Stock volatility and hospital admissions for cardiovascular disease: results from the National Insurance Claims for Epidemiological Research (NICER) study. Lancet Regional Health - Western Pacific. 2022; 31:100595. (* co-corresponding authors)
3. Liu X, Shen P, Zhang D, Sun Y, Chen Y, Liang J, Wu J, Zhang J, Lu P, Lin H, Tang X*, Gao P*. Evaluation of Atherosclerotic Cardiovascular Risk Prediction Models in China: Results from the CHERRY Study. JACC: Asia. 2022; 2(1):33-43. (* co-corresponding authors)
4. Tang X #, Lu K#, Liu X, Jin D, Jiang W, Wang J, Zhong Y, Wei C, Wang Y*, Gao P*, Du J*. Incidence and Survival of Aortic Dissection in Urban China: Results from the National Insurance Claims for Epidemiological Research (NICER) Study. Lancet Regional Health - Western Pacific. 2021; 17:100280. (# equal contributions)
5. Liu X#, Li Q#, Chen W, Shen P, Sun Y, Chen Q, Wu J, Zhang J, Lu P, Lin H, Tang X*, Gao P*. A dynamic risk-based early warning monitoring system for population-based management of cardiovascular disease. Fundamental Research. 2021; 1(5):534-542. (* co-corresponding authors)
6. Tang X, Zhang D, He L, Wu N, Si Y, Cao Y, Huang S, Li N, Li J, Dou H, Gao P*, Hu Y*. Performance of atherosclerotic cardiovascular risk prediction models in a rural Northern Chinese population: Results from the Fangshan Cohort Study. American Heart Journal. 2019; 211:34-44.
7. Lin H#, Tang X#, Shen P, Zhang D, Wu J, Zhang J, Lu P, Si Y, Gao P*. Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) study. BMJ Open. 2018; 8:e019698. (# equal contributions)
8. Fang L#, Gao P#, Bao H, Tang X, Wang B, Feng Y, Cong S, Juan J, Fan J, Lu K, Wang N, Hu Y*, Wang L*. Chronic obstructive pulmonary disease in China: a nationwide prevalence study. Lancet Respiratory Medicine. 2018; 6(6):421-430.
9. Wang L#, Gao P#, Zhang M, Huang Z, Zhang D, Deng Q, Li Y, Zhao Z, Qin X, Jin D, Zhou M, Tang X, Hu Y*, Wang L*. Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013. JAMA. 2017; 317(24):2515-2523.
10. Tang X, Laskowitz DT, He L, Ostbye T, Bettger JP, Cao Y, Li N, Li J, Zhang Z, Liu J, Yu L, Xu H, Hu Y*, Goldstein LB*. Neighborhood socioeconomic status and the prevalence of stroke and coronary heart disease in rural China: A population-based study. International Journal of Stroke. 2015; 10(3):388-395.