中文

Faculty

Zhongwei Jia

Zhongwei Jia

Zhongwei Jia

  • Professor
  • urchinjj@163.com/jiazw@bjmu.edu.cn
  • Xueyuanlu 38., Haidian district, Beijing, China, 100191
  • Peking University
Personal profile

Zhongwei Jia was 2012-2013Takemi Fellow in Harvard School of Public Health and 2009-2010 Fogarty Fellow in the National Institute of Health (NIH), USA. Dr. Jia has carried out research on TB, HIV/AIDS, drug abuse and other public health and science decision making since her Ph.D study under the joint supervision of interdisciplinary mentorship. Dr. Jia began her academic career as an economic mathematics teacher in Yantai University, having taken degrees in applied mathematical and computer science from China Ocean University. But in deep her heart and mind, she is full of curiosity of life. After the pre-doctoral training of bioinformatics at Academy of Military Medical Sciences, she became interested in communicable disease ecology (epidemiology) on a PhD at Beijing University of Post and Telecommunication and China CDC under the joint supervision mentorship. Now she is an epidemiological and statistical professor in National Institute on Drug Dependence, Peking University and brings her research closer to public health including mental health.


Education experience:

Harvard School of Public Health Decision Making/Global health Fellow, 2012-2013
NIH & NCAIDS Public health/Epidemiology Fellow, 2009-2010
Beijing University of Posts and Telecommunications Medical signal and Informatics, Ph.D, 2005-2008  
Ocean University of China Computer Technology Master, 2000-2003
Ocean University of China Applied Mathematics Bachelor, 1986-1990


Main research directions

Her current works focus on ① Modelling risk of infectious diseases. ② Modeling and predicting the epidemic of Spatio-temporal transmission and evolution of drug abuse, HIV and TB By integrating data from physical space and cyberspace, and ③ Estimating the effect of the policies on control and preventions of infectious disease and drug using, further investigating the new paradigm of public health management based on internet+ and AI technologies and provide evidence for decision.


Representative scientific research projects

1. Ministry of science and technology (PI: Zhongwei Jia) , 2022/10-2024/09, modeling infectious disease globally.

2. NSFC 72174004,2022/01/01-2025/12/31, “research on policy and control measures of infectious diseases”

3. Ministry of science and technology 2020YFC0849200 (PI: Zhongwei Jia), 2020/07/01-2021/06/31, modeling the evolution and trend in one health view.

4. NSFC 91846302 (Co-PI: Zhongwei Jia) , 2019/01/01-2022/12/31, “Research on panoramic health care management and service model driven by real world big data”

5. NSFC  U1611264  (PI: Zhongwei Jia) , 2017/01/01-2020/12/31, “Investigation on alerting and predicting models of major and new infectious diseases by combining big data rising from surveillance, community and internet respectively”.

6. NSFC  91546203 (PI: Zhongwei Jia), 2016/01/01-2019/12/31, “Investigation on new paradigm of management and decision for HIV among MSM based on big data from surveillance and internet respectively”

7. NSFC  61571001 (PI: Zhongwei Jia), 2016/01/01-2019/12/31, “Investigation on social network models based on regional landscape and scale effect”

8. 2016YFA0501600 (Co-PI: Zhongwei Jia), 2016/07/01-2021/06/30, “National Key studies:  Investigation on detection and application of spatio temporal signal of protein machine in a nanodevices”

9. 0716-1541GA590508 (Co-PI: Zhongwei Jia), 2016/06/01-2017/05/31, Entrusted by Narcotics Control Bureau of Ministry of public security “Estimate total number of drug users in 56 key cities in China”

10. NSFC  81372958 (PI: Zhongwei Jia), 2014/01/01-2014/12/31, “Spatial modeling of migration TB in China”

11. NSFC 30973981 (PI: Zhongwei Jia) , 2010/01/01-2012/12/31 , “Modelling the drug-resistant of tuberculosis in China” 


10 representative papers

1. Tao Li, Xiangyu Yan, Xin Du, Fei Huang, Ni Wang, Ni, Ni, Jingjuan Ren, Yanlin Zhao, Zhongwei Jia. Extrapulmonary tuberculosis in China: a national survey[J]. International journal of infectious diseases: IJID : official publication of the International Society for Infectious Diseases, 2023, 128, 69–77.

2. Zekun Wang, Xiangyu Yan, Mingchen Zhao, Shan Zhang, Zhongwei Jia. Spatial and temporal distribution of emerging airborne viral infectious diseases outbreaks on a global scale[J]. Journal of Public Health, 2023. https://doi.org/10.1007/s10389-023-01850-3.

3. Yongjie Li, Xiangyu Yan, Zekun Wang, Mingchang Ma, Bo Zhang, Zhongwei Jia. Comparison of the Users' Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study[J]. JMIR public health and surveillance, 2023, 9, e34132. https://doi.org/10.2196/34132.

4. Mingchen Zhao, Jingyuan Chen, Qiang Wang, Zuhong Lu, Zhongwei Jia. A Landscape Analysis on Virus: based on NCBI Database[J]. China CDC Weekly. doi: 10.46234/ccdcw2022.019.

5.  Zhongwei Jia, Zuhong Lu. Modelling COVID-19 transmission: from data to intervention. Lancet Infectious Disease, 2020;20:757-758.

6.  Zhongwei Jia, Yuhua Ruan, Zuhong Lu. HIV incidence and mortality in China. The Lancet 2015; 385(9977): 1510.

7.  Zhongwei Jia, Mao Y, Zhang F, Ruan Y, Ma Y, Li J, Guo W, Liu E, Dou Z, Zhao Y, Wang L, Li Q, Xie P, Tang H, Han J, Jin X, Xu J, Xiong R, Zhao D, Li P, Wang X, Wang L, Qing Q, Ding Z, Chen RY, Liu Z, Shao Y. Antiretroviral therapy to prevent HIV transmission in serodiscordant couples in China (2003-11): a national observational cohort study. The Lancet. 2013 Oct 5; 382 (9899):1195-203.

8. Zhongwei Jia, Shiming Cheng, Lixia Wang. Tuberculosis control in China: striving to sustainability. The Lancet, 2012; 379: 2149.

9. Yiming Shao, Zhongwei Jia. Challenges and opportunities for HIV/ AIDS control in China. The Lancet, 2012; 379: 804. (38.3).

10. Zhongwei Jia*, Shi-ming Cheng, Zhi-jun Li, Xin Du, Fei Huang , Xiao-wei Jia, Peng Kong,Yun-xi Liu, Wei Chen, Wei Wang and Christopher Dye. Combining Domestic and Foreign Investment to Expand Tuberculosis Control in China. PloS Medicine. 2010; 7(11): e1000371.


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