赵时,教授,博士生导师
发布时间: 2024-03-21 浏览次数: 672

 

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赵时,教授,博士生导师

流行病与卫生统计学系

电子邮件:zhaoshi.cmsa@gmail.com

 

简历

赵时,博士,教授,博导,入选天津医科大学杰出青年人才支持计划。有生物统计学、流行病学、应用数学交叉的教育背景和工作经验;聚焦新发传染病疫情暴发全过程的公共卫生影响,一直专注于新发传染病建模研究、疫情风险测算、干预措施评估等理论和实践应用研究。发表第一或通讯作者(含共同)论文90+篇,包括JAMA Netw Open2篇)、Nat Cardiovasc ResBMJ MedLancet Infect DisEur Respir JDiabetes CareEmerg Infect Dis,有3篇为ESI高被引论文,累计被引用量8000+h因子35。连续3年入选爱思唯尔全球前2%顶尖科学家(2021-2023)。研究发现被CNS等顶级期刊、多个国家的疾控中心、多位院士团队正面引述,并被100+家海内外媒体报道。担任Eur J Med Res(影响因子:5.0)副主编和BMC Infect Dis(影响因子:3.7)编委,并为Nature子刊、Lancet子刊等60+本学术期刊审稿100+次。

个人主页:https://sites.google.com/view/sfzhao

ORCID: 0000-0001-8722-6149

ResearcherID: AAW-6992-2021

ScopusID: 57194229769

 

研究方向

新发传染病流行病学,计算流行病学,传染病传播动力学建模。

 

学习经历

博士,流行病学与生物统计学,香港中文大学医学院公共卫生及基层医疗学院,2019.08-2022.08

硕士,应用数学,香港理工大学理学院应用数学系,2016.09-2018.09

学士,应用统计学,香港理工大学理学院应用数学系,2012.08-2016.09

 

工作经历

教授,博导,天津医科大学公共卫生学院流行病与卫生统计学系,2024.01-现今

博士后研究员,香港中文大学医学院公共卫生及基层医疗学院,2022.10-2023.12

研究助理,香港理工大学医疗及社会科学院护理学院,2018.09-2019.08

 

主要承担或参与的课题

1.        香港食物及卫生局的医疗卫生研究基金项目。Strategic purchasing for health: developing a framework for the design and simulation of a need-based capitation payment model for community-based primary healthcare in Hong Kong.(基金编号:08220147)参与2024-2026

2.        香港食物及卫生局的医疗卫生研究基金项目。Developing a checklist to guide the implementation of readmission risk prediction model for heart failure patients after discharge: a systematic scoping review and semi-structured interview.(基金编号:20210491)参与2023-2025

3.        香港食物及卫生局的医疗卫生研究基金项目。Comparing the timing, diagnosis, and patient characteristics among short-, medium-, and long-term hospital readmissions in a cohort of elderly patients.(基金编号:19202591)参与2022-2023

4.        深圳市科技创新委员会新冠抗疫专项基金项目。针对广谱长效性新冠抗体和T细胞免疫疫苗研发。(基金编号:抗疫专2022032)参与2022-2023

 

书章著作

1.        编委《透过数据看疫情:突发公共卫生事件的流行病学研究和数据分析》(2023)科学技术文献出版社 ISBN978-7-5235-0236-5

2.        特邀章节作者The serial interval of the mpox (monkeypox) virus infection,《The Scientific Basis of Monkeypox: Features, Prevention, and Treatments》(2023)爱思唯尔出版社(Elsevier

 

软件著作

1.        计算机编程R语言软件包modelSSECRAN官方网页链接:https://CRAN.R-project.org/package=modelSSE

 

代表性论文

1.        S Zhao#*, W Cao#, G Liao, Z Guo, L Xu, C Shen, C Chang, X Liang, K Wang, D He, S Sun*, R Chen*, F Dominici. (2024) All cause and cause specific mortality associated with transition to daylight saving time in US: nationwide time series observational study based on weekly data. BMJ Medicine. https://doi.org/10.1136/bmjmed-2023-000771

2.        K Wang#*, S Zhao#, EKP Lee, SZM Yau, AY Wu, CT Hung, EK Yeoh*. (2024) Risks of dementia among patients with diabetes in a multidisciplinary, primary care program. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2023.55733

3.        S Zhao#, CKP Mok#, YS Tang, C Chen, Y Sun, KC Chong*, DSC Hui*. (2024) Inferring Incidence of Unreported SARS-CoV-2 Infections Using Seroprevalence of Open Reading Frame 8 Antigen, Hong Kong. Emerging Infectious Diseases. https://doi.org/10.3201/eid3002.231332

4.        K Wang#, Z Guo#, T Zeng#, S Sun, Y Lu, J Wang, S Li, Z Luan, H Li, J Zhang, Y Wang, Y Lu*, S Zhao*. (2023) Transmission Characteristics and Inactivated Vaccine Effectiveness Against Transmission of SARS-CoV-2 Omicron BA.5 Variants in Urumqi, China. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2023.5755

5.        J Huang#, S Zhao#, MKC Chong#, Y Zhou, W Lu, F Fang, PPH Cheung, KC Lai, DSC Hui, CKP Mok*. (2023) Infection rate in Guangzhou after easing the zero-COVID policy: seroprevalence results to ORF8 antigen. Lancet Infectious Diseases. https://doi.org/10.1016/S1473-3099(23)00112-3

6.        L Han#, S Zhao#, S Li#, S Gu, X Deng, L Yang*, J Ran*. (2023) Excess Cardiovascular Mortality across Multiple COVID-19 Waves in the United States from March 2020 to March 2022. Nature Cardiovascular Research. https://doi.org/10.1038/s44161-023-00220-2

7.        Z Guo#, S Zhao#*, S Sun, D He, MKC Chong*, EK Yeoh. (2022) Estimation of the serial interval of monkeypox during the early outbreak in 2022. Journal of Medical Virology. https://doi.org/10.1002/jmv.28248

8.        S Zhao*, MKC Chong, S Ryu, Z Guo, M He, B Chen, SS Musa, J Wang, Y Wu, D He*, MH Wang. (2022) Characterizing superspreading potential of infectious disease: Decomposition of individual transmissibility. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010281 本篇论文被期刊评选为方法学论文

9.        S Zhao, J Lou, L Cao, H Zheng, MKC Chong, Z Chen, RWY Chan, BCY Zee, PKS Chan, MH Wang*. (2021) Quantifying the transmission advantage associated with N501Y substitution of SARS-CoV-2 in the UK: An early data-driven analysis. Journal of Travel Medicine. https://doi.org/10.1093/jtm/taab011

10.    S Zhao*, Q Lin, J Ran, SS Musa, G Yang, W Wang*, Y Lou, D Gao, L Yang, D He*, MH Wang. (2020) Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. International Journal of Infectious Diseases. https://doi.org/10.1016/j.ijid.2020.01.050 本篇论文是ESI高被引论文

11.    S Zhao, Z Guo, S Sun, CT Hung, EYM Leung, Y Wei, H Wang, K Li, CHK Yam, TY Chow, J Gao, KM Jia, KC Chong*, EK Yeoh. (2023) Effectiveness of BNT162b2 and Sinovac vaccines against the transmission of SARS-CoV-2 during Omicron-predominance in Hong Kong: A retrospective cohort study of COVID-19 cases. Journal of Clinical Virology. https://doi.org/10.1016/j.jcv.2023.105547

12.    J Ran#, S Zhao#, L Han, G Liao, K Wang, MH Wang, D He*. (2020) A Re-analysis in Exploring the Association between Temperature and COVID-19 Transmissibility: An Ecological Study with 154 Chinese Cities. European Respiratory Journal. https://doi.org/10.1183/13993003.01253-2020

13.    J Ran#, S Zhao#, L Han#, Y Ge, MKC Chong, W Cao*, S Sun*. (2021) Increase in Diabetes Mortality Associated with COVID-19 Pandemic in the United States. Diabetes Care. https://doi.org/10.2337/dc21-0213

14.    S Zhao*. (2020) To avoid the noncausal association between environmental factor and COVID-19 when using aggregated data: simulation-based counterexamples for demonstration. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.141590

15.    S Zhao, L Stone*, D Gao, D He*. (2018) Modelling the Large-scale Yellow Fever Outbreak in Luanda, Angola, and the Impact of Vaccination. PLoS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0006158 本篇论文是国际获奖论文

 

招生专业

1.        学术学位型博士学位--流行病与卫生统计学

2.        学术学位型硕士学位--流行病与卫生统计学

3.        专业学位型硕士学位--公共卫生硕士(MPH

 

获奖记录

1.        香港理工大学杰出青年校友(学术成就),2023

2.        全球前2%顶尖科学家,爱思唯尔(Elsevier),202120222023

3.        第十六届中国新疆维吾尔自治区自然科学优秀学术论文三等奖,新疆维吾尔自治区科学技术协会,新疆维吾尔自治区科学技术厅,2022

4.        中国专家新冠肺炎国际论文学术影响力排名前100位,全球学者库,2020

5.        2018-2019年度杰出论文奖,国际疾病监测协会,2018-2019