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Prof. MING Wai Kit

  1. staff
  2. Prof. MING Wai Kit
Assistant Professor
MD, PhD(JNU), MPH(HK), MMSc(Harvard), PostDoc(Oxon), PostDoc(Harvard) DipMed(CUHK), PDipCAH(HK), CertClinDerm(Lond), FRSPH(UK)
Office Address
Room 1A-503, 5/F, Block 1, To Yuen Building, 31 To Yuen Street, City University of Hong Kong
Office Tel
+852 3442-6956
Email
wkming2@cityu.edu.hk
Biography URL
CityU Scholars

Prof. Ming is an assistant professor in public health and epidemiology and the co-program leader of the MSc Public Health and Epidemiology postgraduate program at the City University of Hong Kong. He is an experienced clinical doctor and medical educator. He has over 10 years of experience teaching and mentoring students in medical school. To date, he has supervised over 100 undergraduate and graduate research students. He undertook his postdoctoral training at Oxford and Harvard. He completed his fellowship at the Nuffield Department of Women's & Reproductive Health, University of Oxford, and the National Perinatal Epidemiology Unit in the United Kingdom in 2016 and completed his fellowship at the Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, and obtained a master's degree from Harvard University in the United States in 2018. 

As a clinician-epidemiologist, Prof. Ming's research over the last 10 years has covered topics ranging from health policy-oriented clinical research to infectious disease control and surveillance. His research team has extensive interdisciplinary collaboration experience, including clinical research, health and pharmaceutical economics, real-world research, health policy, and artificial intelligence medicine. He has had a long history of cooperation with the United States, the United Kingdom, and local universities on national-based clinical research projects. Prof. Ming's work revolves around COVID-19 research that has significant population health impacts locally and internationally. His team is the leading team in health policy research in Asia.

Prof. Ming also has extensive membership in academic societies, advisory committees, and expert panels: He is a member of Committee of Experts on Rare Diseases, Guangdong Pharmaceutical Association (since 2021); a senior member of the Community Medicine Committee, Guangdong Preventive Medicine Association (since 2020); a member of the Evidence-based Medicine Committee, Guangdong Medical Association (since 2020); a youth member of the Chinese Academy of Maternal-Fetal Medicine (since 2019); a member of the Cancer Prevention Committee, Guangdong Preventive Medicine Association (since 2019); a member of the Guangdong, Hong Kong, and Macau Bay Area Urogenital Alliance (since 2019); an external member of The Association of Licentiates of Medical Council of Hong Kong (since 2019); a fellow of the Royal Society for Public Health, United Kingdom (since 2016); a member of the Oxford University Hospital Trust, United Kingdom (since 2016); a member of the Institute of Electrical and Electronics Engineers (IEEE), United States (since 2016); and a member of the American Statistical Association (ASA), United States (since 2016).

Prof. Ming is always looking for motivated undergraduate summer research students/postgraduate internship students/PhD students/postdoctoral fellows/research assistants, especially quantitative and creative individuals who are not afraid to do something totally new.

Potential postdoctoral fellows/PhD candidates will be selected from highly qualified, early-career researchers so that they are positioned to become leaders in their respective academic fields. Fellows will have experience in independently managing a discrete area of a research project and contributing ideas for the next stage. Excellent communication skills are essential, along with experience contributing to publications and presentations. The training is focused on enhancing your ability at every stage of the research process. Using in-person seminars and dynamic workshops, lectures, and reading groups, the fellows pursue new knowledge within and across disciplines and foster intellectual exchange among the university's undergraduates, graduate students, and faculty.

Opportunities to work with big data, electronic health records, real-world data, and methodological research in this area will be available. Self-funded visiting students and visiting scholars are welcome. Potential candidates holding an MBBS, MD, PhD, DMD, DDS, PharmD, DNP, MPH, MSc, MA, MEng or an equivalent degree are eligible to apply. Graduates from the fields of medicine/nursing/economics/policy/statistics/computer science/related subjects are welcome. Clinicians, residents, and lecturers who demonstrated strong career interest in clinical/public health policy research are also eligible to apply.

Our team is committed to fostering an environment of equality, diversity, and inclusion. The working hours are flexible to complement care responsibilities.

 

Research Area

Clinical research, infectious epidemiology and control, disease modelling, medical statistics, health economics, health policy, artificial intelligence in medicine
Possible research fields:

  • Answering high-impact questions to inform clinical decision-making
  • Developing and implementing cutting-edge methods for infectious epidemiology and control
  • Developing cutting-edge tools that improve health economics research
  • Developing cutting-edge artificial intelligence applications in medical diagnoses and treatments

If you are interested in this opportunity or have any questions, contact Prof. Ming at wkming2@cityu.edu.hk

Prof. Ming's research over the last 10 years has covered topics ranging from health policy-oriented clinical research to infectious disease control and surveillance. Prof. Ming has over 100 peer-reviewed publications yielding an h-index of 13 (ISI WOS) and of 17 (Google Scholar) by November 2021. Two of them are classified as highly cited papers (ranked in the top 1% of Clinical Medicine, Essential Science Indicators) in 2021. Prof. Ming's publications and associated citation metrics are available through Google Scholar.

Selected from a total of over 100 publications by November 2021:

Infectious epidemiology and control (COVID-series)

  1. Liu, Taoran**; He, Zonglin ; Huang, Jian ; Yan, Ni ; Chen, Qian ; Huang, Fengqiu ; Zhang, Yuejia ; Akinwunmi, Omolola M. ; Akinwunmi, Babatunde O. ; Zhang, Casper J. P. ; Wu, Yibo ; Ming, Wai-Kit (Co-Corresponding author). A comparison of vaccine hesitancy of COVID-19 vaccination in China and the United States. Vaccines. 2021 Jun;9(6). 649. https://doi.org/10.3390/vaccines9060649
  2. Liu, Taoran**; Tsang, Winghei ; Xie, Yifei ; Tian, Kang ; Huang, Fengqiu ; Chen, Yanhui ; Lau, Oiying ; Feng, Guanrui ; Du, Jianhao ; Chu, Bojia ; Shi, Tingyu ; Zhao, Junjie ; Cai, Yiming ; Hu, Xueyan ; Akinwunmi, Babatunde ; Huang, Jian ; Zhang, Casper J P ; Ming, Wai-Kit (Corresponding author). Preferences for artificial intelligence clinicians before and during the covid-19 pandemic: Discrete choice experiment and propensity score matching study. Journal of Medical Internet Research. 2021 Mar;23(3). e26997. https://doi.org/10.2196/26997
  3. He, Zonglin**; Chin, Yiqiao ; Yu, Shinning ; Huang, Jian ; Zhang, Casper J P ; Zhu, Ke ; Azarakhsh, Nima ; Sheng, Jie ; He, Yi ; Jayavanth, Pallavi ; Liu, Qian ; Akinwunmi, Babatunde O. ; Ming, Wai-Kit (Corresponding author). The influence of average temperature and relative humidity on new cases of COVID-19: Time-Series analysis. JMIR Public Health and Surveillance, 7(1), [e20495]. https://doi.org/10.2196/20495
  4. Wu, Huailiang**; Sun, Weiwei; Huang, Xinyu; Yu, Shinning; Wang, Hao; Bi, Xiaoyu; Sheng, Jie; Chen, Sihan; Akinwunmi, Babatunde; Zhang, Casper J P; Ming, Wai-Kit (Corresponding author). Online antenatal care during the COVID-19 pandemic: Opportunities and challenges. Journal of Medical Internet Research. 2020 Jul;22(7). e19916. https://doi.org/10.2196/19916
  5. Wu, Huai-liang**; Huang, Jian; Zhang, Casper J.P.; He, Zonglin; Ming, Wai-Kit (Corresponding author). Facemask shortage and the novel coronavirus disease (COVID-19) outbreak: Reflections on public health measures. EClinicalMedicine. 2020 Apr;21. 100329. https://doi.org/10.1016/j.eclinm.2020.100329
  6. Liu, Qian; Zheng, Zequan**(co-first); Zheng, Jiabin; Chen, Qiuyi; Liu, Guan; Chen, Sihan; Chu, Bojia; Zhu, Hongyu; Akinwunmi, BAbatunde; Huang, Jian; Zhang, Casper J P.; Ming, Wai-Kit (Corresponding author). Health communication through news media during the early stage of the covid-19 outbreak in China: Digital topic modeling approach. Journal of Medical Internet Research. 2020 Apr;22(4). e19118. https://doi.org/10.2196/19118\

Health economics and health policy

  1. Wu, Huailiang**; Sun, Weiwei ; Chen, Hanqing ; Wu, Yanxin ; Ding, Wenjing ; Liang, Shangqiang ; Huang, Xinyu ; Chen, Haitian ; Zeng, Qing ; Li, Zhuyu ; Xiong, Peng ; Huang, Jian ; Akinwunmi, Babatunde ; Zhang, Casper J. P. ; Ming, Wai-Kit (Corresponding author). Health-related quality of life in different trimesters during pregnancy. Health and Quality of Life Outcomes. 2021;19. 182. https://doi.org/10.1186/s12955-021-01811-y
  2. Sun, Weiwei**; Huang, Xinyu; Wu, Huailiang; Zhang, Casper J. P.; Yin, Zongzhi; Fan, Qianqian; Wang, Huiyun; Jayavanth, Pallavi; Akinwunmi, Babatunde; Wu, Yanxin; Wang, Zilian; Ming, Wai-kit (Corresponding author). Maternal tobacco exposure and health-related quality of life during pregnancy: a national-based study of pregnant women in China. Health and Quality of Life Outcomes. 2021;19. 152. https://doi.org/10.1186/s12955-021-01785-x
  3. Huang, Xiaoting; Weng, Xiuhua; Lin, Shen; Liu, Yiwei; Luo, Shaohong; Wang, Hang; Ming, Wai-Kit (Co-Corresponding author); Huang, Pinfang. Half-dose fulvestrant plus anastrozole as a first-line treatment for hormone receptor-positive metastatic breast cancer: a cost-effectiveness analysis. BMJ Open. 2020 Aug;10(8). https://doi.org/10.1136/bmjopen-2019-036107
  4. Wu, Ping**; Xu, Baoping; Shen, Adong; He, Zonglin; Zhang, Casper J. P. Ming, Wai-Kit (Co-Corresponding author); Shen, Kunling. The economic burden of medical treatment of children with asthma in China. BMC Pediatrics. 2020;20. 386. https://doi.org/10.1186/s12887-020-02268-6
  5. He, Zonglin**; Tang, Yuan; Xie, Huatao; Lin, Yuchen; Liang, Shangqiang; Xu, Yuyuan; Chen, Zhili; Wu, Liang-zhi; Sheng, Jie; Bi, Xiaoyu; Pang, Muyi; Akinwunmi, Babatunde; Xiao, Xiaomin; Ming, Wai-Kit (Corresponding author). Economic burden of IADPSG gestational diabetes diagnostic criteria in China: Propensity score matching analysis from a 7-year retrospective cohort. BMJ Open Diabetes Research and Care. 2020;8(1). e001538. https://doi.org/10.1136/bmjdrc-2020-001538
  6. Wu, Liangzhi; Wu, Yanxin**(co-first); Zou, Shiqian**(co-first); Sun, Cong; Chen, Junyu; Li, Xueyan; Lin, Zihang; Guan, Lizhi; Zeng, Qing; Zhao, Sihan; Liang, Jingtong; Chen, Rui; Hu, Zhiwen; Au, Kingyan; Xie, Daipeng; Xiao, Xiaomin; Ming, Wai-Kit (Corresponding author). Eliciting women's preference for prenatal testing in China: A discrete choice experiment. BMC Pregnancy and Childbirth. 2020;20. 604. https://doi.org/10.1186/s12884-020-03270-7
  7. Dai, Weiqian**; Liu, Chang; Liu, Jiahe; Lin, Yaduan; Cheng, Yu; Ming, Wai-Kit (Corresponding author). Preference of individuals in the treatment strategies of acute myocardial infarction in China: A discrete choice experiment. Health and Quality of Life Outcomes. 2020;18. 217. https://doi.org/10.1186/s12955-020-01466-1
  8. Wu, Huailiang**; Chan, Nga-Kwo; Zhang, Casper J P; Ming, Wai-Kit (Corresponding author). The role of the sharing economy and artificial intelligence in health care: Opportunities and challenges. Journal of Medical Internet Research. 2019 Oct;21(10). e13469. https://doi.org/10.2196/13469
  9. Ming, Wai-Kit; Yu, Wing-Yin; Tsang, Owen Tak-Yin; Chan, Paul Kay-Sheung; You, Joyce Hoi-Sze. Economic analysis of herpes zoster in a hospital setting in Hong Kong. Acta Dermato-Venereologica. 2019 May 1;99(6):616-617. https://doi.org/10.2340/00015555-3118
  10. Jiang, Xinchan; Ming, Wai-Kit; You, Joyce H. S. Potential cost-effectiveness of wearable cardioverter-defibrillator for patients with implantable cardioverter-defibrillator explant in a high-income city of China. Journal of Cardiovascular Electrophysiology. 2019 Nov;30(11):2387-2396. https://doi.org/10.1111/jce.14153

AI technology

  1. Shen, Jiayi**; Chen, Jiebin; Zheng, Zequan; Zheng, Jiabin; Liu, Zherui; Song, Jian; Wong, Sum Yi; Wang, Xiaoling; Huang, Mengqi; Fang, Po-Han; Jiang, Bangsheng; Tsang, Winghei; He, Zonglin; Liu, Taoran; Akinwunmi, Babatunde; Wang, Chi Chiu; Zhang, Casper J P; Huang, Jian; Ming, Wai-Kit (Co-Corresponding author). An innovative artificial intelligence-based app for the diagnosis of gestational diabetes mellitus (GDM-AI): Development study. Journal of Medical Internet Research. 2020 Sep;22(9). e21573. https://doi.org/10.2196/21573
  2. Mok, Tsz-Ngai** ; Chen, Junyuan ; Pan, Jinghua ; Ming, Wai-Kit (Co-first) ; He, Qiyu ; Sin, Tat-Hang ; Deng, Jialin ; Li, Jieruo ; Zha, Zhengang. Use of a virtual reality simulator for tendon repair training: Randomized controlled trial. JMIR Serious Games. 2021 Jul;9(3). e27544. https://doi.org/10.2196/27544
  3. Xu, Yangfan**; Tong, Meiqinzi; Ming, Wai-Kit; Lin, Yangyang; Mai, Wangxiang; Huang, Weixin; Chen, Zhuoming. A depth camera–based, task-specific virtual reality rehabilitation game for patients with stroke: Pilot usability study. JMIR Serious Games. 2021 Mar;9(1). e20916. https://doi.org/10.2196/20916
  4. Bao, Yuekun**; Ming, Wai-Kit; Mou, Zhi-Wei; Kong, Qi-Hang; Li, Ang; Yuan, Ti-Fei; Mi, Xue-Song. Current Application of Digital Diagnosing Systems for Retinopathy of Prematurity. Computer Methods and Programs in Biomedicine. 2021 Mar;200.105871. https://doi.org/10.1016/j.cmpb.2020.105871
  5. Shen, Jiayi**; Zhang, Casper J P; Jiang, Bangsheng; Chen, Jiebin; Song, Jian; Liu, Zherui; He, Zonglin; Wong, Sum Yi; Fang, Po-Han; Ming, Wai-Kit (Corresponding author). Artificial intelligence versus clinicians in disease diagnosis: Systematic review. JMIR Medical Informatics. 2019 Jul;7(3). e10010. https://doi.org/10.2196/10010
  6. Mackillop, Lucy; Hirst, Jane Elizabeth; Bartlett, Katy Jane; Birks, Jacqueline Susan; Clifton, Lei; Farmer, Andrew J.; Gibson, Oliver; Kenworthy, Yvonne; Levy, Jonathan Cummings; Loerup, Lise; Rivero-Arias, Oliver; Ming, Wai-Kit; Velardo, Carmelo; Tarassenko, Lionel. Comparing the efficacy of a mobile phone-based blood glucose management system with standard clinic care in women with gestational diabetes: Randomized controlled trial. JMIR mHealth and uHealth. 2018 Mar 1;6(3). e71. https://doi.org/10.2196/mhealth.9512

A full list of publications is available at CityU Scholar.