Prof. Marc CHONG

marc

Professor Marc Ka-chun CHONG (莊家俊教授)

PhD (CUHK), BSc (CUHK)

​Assistant Professor

JC School of Public Health and Primary Care

​Email: marc@cuhk.edu.hk

Author Identifications:

ORCID:  0000-0001-5610-1298

Personal Website:

CCRB – http://www2.ccrb.cuhk.edu.hk/web/?page_id=461

Biography

Marc Ka-chun CHONG received his BSc degree in Statistics and PhD degree in Public Health from the Chinese University of Hong Kong (CUHK) in 2006 and 2011 respectively. He became a postdoctoral fellow after completing his PhD study, and has been appointed as a research assistant professor and assistant professor respectively in 2015 and in 2019 in CUHK. He is interested in mathematical modelling in public health applications such as infectious disease modelling and health policy evaluation. He is also an Associate Researcher (by courtesy) in Shenzhen Research Institute and Assistant Professor (by courtesy) in Department of Obstetrics and Gynaecology, Faculty of Medicine in CUHK.

 

Marc works as a biostatistician in the Centre for Clinical Research and Biostatistics (former Centre for Clinical Trials) since 2006, possessing rich experience in conducting various statistical analysis of academic and industrial clinical trials. He is/was also a statistical consultant for different official projects, for example, Development of Refined Population-based Model to Inform Resource Allocation, Surgical Outcomes Monitoring and Improvement Programme, and Intensive Care Units Outcomes Monitoring Program held by Hospital Authority.

 

In 2012, Marc got the Best Young Scholars Paper Award in the Second Joint Biostatistics Symposium (Beijing). Since the start of his early career in late 2015, he authored and coauthored 37 research papers. He is/was a principal investigator of eight research and teaching grants. Currently, he is the Statistical Advisor of the Hong Kong Medical Journal and Academic/Associate Editors for several international journals. Marc is a course coordinator for Biostatistics (PHPC2015), Topics in Linear Models (BIOS6001), and Pharmaceutical Statistics Computing in SAS (BIOS5007).

 

Research interest

  • Infectious disease epidemiology and modelling
  • Climatic impacts on activity of infectious diseases
  • Mathematical modelling for health policy evaluation
  • Artificial intelligence for healthcare applications

 

Teaching

  • JC School of Public Health and Primary Care, CUHK
    • Biostatistics (PHPC2015)
    • Introduction to Biostatistics (BIOS5001)
    • Linear Models (BIOS5002)
    • Clinical Trials (BIOS5005)
    • Pharmaceutical Statistics Computing in SAS (BIOS5007)
    • Topics in Linear Models (BIOS6001
  • Faculty of Medicine, CUHK
    • Community and Family Medicine Module (MEDU4010)
    • Biostatistics I (MEDP6001)
    • Biostatistics II (MEDP6002)
    • Biostatistics III (MEDP6003
  • School of Chinese Medicine, CUHK
    • Research Methodologies in Acupuncture (BCME6506)
    • Current Research Methodologies in Chinese Medicine and Thesis (BCME6160)
  • Department of Imaging and Interventional Radiology, CUHK
    • Critical Review Studies (DIUS5014)

 

E-learning

  • A Flipped Classroom of System Dynamics Modelling for Public Health.
  • A Flipped Classroom of SAS Programming for Statistical Analysis in Public Health

 

Selected Grants in PI capacity

  • Spatial resources allocation and dynamics planning for public healthcare services. National Natural Science Foundation of China. 1/1/2020-31/12/2022. (RMB$475,000)
  • Evaluating the sugar-sweetened beverages tax in Hong Kong: An integrated study. Health and Medical Research Fund. 1/9/19-31/8/21. (HK$957,830)
  • Development of objective measure of psychotropic substances abuse using Automatic Retinal Image Analysis (ARIA), Beat Drugs Fund Regular Funding Scheme. 1/7/19-31/6/21. (HK$2,613,260)
  • Long Term Effectiveness of Elderly Health Care Voucher Scheme Strategies: A System Dynamics Simulation Analysis. Health and Medical Research Fund. 1/4/17-30/9/18. (HK$351,516).
  • An infectious diseases modeling study to analyze different vaccination strategies for measles elimination. Shenzhen Municipal Science and Technology Program – Basic research project. 1/11/15-31/10/17. (RMB$150,000)

 

Selected Publications (*corresponding author)

  • Chong KC, Lee TC, Bialasiewicz S, Chen J, Smith DW, Choy WS, Krajden M, Jalal H, Jennings L, Alexander B, Lee HK. Association between meteorological variations and activities of influenza A and B across different climate zones: a multi-region modelling analysis across the globe. Journal of Infection. 2019. (In press)
  • Chong KC, Liang J, Jia KM, Kobayashi N, Wang MH, Wei L, Lau SYF, Sumi A. Latitudes Mediate the Association between Influenza Activity and Meteorological Factors: A Nationwide Modelling Analysis in 45 Japanese Prefectures from 2000 to 2018. Science of the Total Environment. 2019. (In press)
  • Chong KC, Leung CC, Yew WW, Zee BC, Tam GC, Wang MH, Jia KM, Chung PH, Lau SY, Han X, Yeoh EK. Mathematical modelling of the impact of treating latent tuberculosis infection in the elderly in a city with intermediate tuberculosis burden. Scientific Reports. 2019;9(1):4869.
  • Chong KC, Zhang C, Jia KM, Zee BCY, Luo T, Wang L, Tam GCH, Sun R, Wang MH, Guan X. Targeting Adults for Supplementary Immunization Activities of Measles Control in Central China: A Mathematical Modelling Study. Scientific Reports. 2018; 8:16124.
  • Chong KC, Hu P, Lau SYF, Jia KM, Liang W, Wang MH, Zee BCY, Sun R, Zheng H. Monitoring the age-specificity of measles transmissions during 2009-2016 in Southern China. PloS one. 2018;13(10):e0205339.
  • Lau SYF, Chen E, Wang M, Liu S, Zee BCY, Han X, Yu Z, Sun R, Chong KC*, Wang X. Association between meteorological factors, spatiotemporal effects, and prevalence of influenza A subtype H7 in environmental samples in Zhejiang province, China. Science of the Total Environment. 2019; 663:793-803.
  • Lau SYF, Wang X, Wang M, Liu S, Zee BCY, Han X, Yu Z, Sun R, Chong KC*, Chen E. Identification of meteorological factors associated with human infection with avian influenza A H7N9 virus in Zhejiang Province, China. Science of the Total Environment. 2018; 644:696-709.
  • Chong KC, Zee BC, Wang MH. Approximate Bayesian algorithm to estimate the basic reproduction number in an influenza pandemic using arrival times of imported cases. Travel Medicine and Infectious Diseases. 2018;23:80-86.
  • Chong KC, Wang MH, Zee BCY. A Statistical Method Utilizing Information of Imported Cases to Estimate the Transmissibility for an Influenza Pandemic. BMC Medical Research Methodology. 17:31; 2017.
  • Chong KC, Zhang C, Zee BCY, Luo T, Wang L, Tam GCH, Jia KM, Sun R, Wang MH, Guan X. Interpreting the transmissibility of measles in two different post periods of supplementary immunization activities in Hubei, China. Vaccine, 35:1024-1029; 2017.