Dr Tim Tsang obtained his BSc (Mathematics) and MPhil (Mathematics) from The Hong Kong University of Science and Technology, and PhD (Public Health) from The University of Hong Kong. After graduation, he spent three years as a postdoctoral associate in biostatistics at University of Florida.

His research interest is to develop mathematical and statistical methods for infectious disease dynamics and epidemiology. He develops statistical methods to analyze different types of infectious disease data for acute infectious disease such as COVID-19, human and avian influenza, dengue, norovirus and zika. He develops statistical models to perform estimations and simulations for assessment of control measure and public health interventions. Also, he is interested in integrating infectious disease data from different sources to obtain comprehensive insights for infections and transmissions.

Website: https://sites.google.com/connect.hku.hk/timktsang/home

(*joint-first or†corresponding author)

1. Tsang TK†, Wu P, Lau EHY, Cowling BJ. Accounting for imported cases in estimating the time-varying reproductive number of COVID-19 in Hong Kong. J Infect Dis. 2021 Jun 4:jiab299 [2019 IF 5.0]
2. Lau YC, Tsang TK†, Kennedy-Shaffer L, et al. Joint Estimation Of Generation Time And Incubation Period For Coronavirus Disease (Covid-19). J Infect Dis. 2021 Aug 23:jiab424. [2019 IF 5.0]
   
3. Xin H, Li Y, Wu P, Li Z, Lau EHY, Qin Y, Wang L, Cowling BJ, Tsang TK†, Li Z. Estimating the latent period of coronavirus disease 2019 (COVID-19). Clin Infect Dis. 2021 Aug 28.ciab746 [2019 IF 8.3]
4. Wu P, Liu F, Chang Z, Lin Y, Ren M, Zheng C, Li Y, Peng Z, Qin Y, Yu J, Geng M, Yang X, Zhao H, Li Z, Zhou S, Ran L, Cowling BJ, Lai S, Chen Q, Wang L, Tsang TK†, Li Z. Assessing asymptomatic, pre-symptomatic and asymptomatic transmission risk of SARS-CoV-2. Clin Infect Dis. 2021 Mar 27:ciab271 [2019 IF 8.3]
5. Tsang TK, Wu P, Lin Y, et al. Effect of changing case definitions for COVID-19 on the epidemic curve and transmission parameters in mainland China: a modelling study. Lancet Public Health. 2020 May;5(5):e289-e296. doi: 10.1016/S2468-2667(20)30089-X. Epub 2020 Apr 21. [2019 IF 16.3]
6. Tsang TK, Lee KH, Foxman B, et al. Association between the respiratory microbiome and susceptibility to influenza virus infection. Clinical Infectious Diseases. 2019; Sep 28. pii: ciz968. doi: 10.1093/cid/ciz968. [2019 IF 8.3]
7. Tsang TK*, Ghebremariam S*, Gresh L*,et al. Effect of exposure history on dengue infection and pathogenicity. Nat Commun. 2019 Mar 18;10(1):1246[2019 IF 12.1]
8. Tsang TK, Fang VJ, Perera RA, et al. Indirect protection from vaccinating children against influenza in households. Nat. Commun. 2019; 10, 106. [2019 IF 12.1]
9. Tsang TK*, Chen TM*, Longini IM, et al. Transmissibility of Norovirus in Urban Versus Rural Households in a Large Community Outbreak in China. Epidemiology. 2018 Sep;29(5):675-683 [2018 IF 4.7]
10. Tsang TK, Lau LL, Cauchemez S, Cowling BJ. Review of household transmission of influenza virus. Trends Microbiol. 2016;24(2):123-33 [2019 IF 13.5]
11. Tsang TK, Cowling BJ, Fang VJ, et al. Influenza A virus shedding and infectivity in households. J Infect Dis. 2015;212(9):1420-8. [2019 IF 5.0]
12. Tsang TK, Cauchemez S, Perera RA, et al. Association between antibody titers and protection against influenza virus infection within households. J Infect Dis. 2014;210(5):684-92. [2019 IF 5.0]