PREM Kiesha

Kiesha Prem is an Assistant Professor at the NUS Saw Swee Hock School of Public Health and the London School of Hygiene & Tropical Medicine. As an infectious disease modeller, she builds computational models to understand the population impact and cost-effectiveness of interventions against infectious diseases. Her research involves evaluating the population impact and cost-effectiveness of single-dose schedules for Human Papillomavirus (HPV) vaccination globally, reviewing new evidence on HPV vaccination and responding to questions from governments and other decision-makers. Kiesha led the development and updates of the global age- and location-specific synthetic contact matrices for infectious disease transmission. She also leads the NUS public health office in Lao PDR and provides technical expertise to the national Tuberculosis and HIV programmes and other local partners in Cambodia.

• NUS Saw Swee Hock School of Public Health (Primary)
• London School of Hygiene & Tropical Medicine

• Population impact and cost-effectiveness of vaccination
• Social mixing patterns
• Human Papillomavirus (HPV) and interventions
• Tuberculosis and control
• Sexually transmitted infections

• Infectious disease modelling
• Health decision science

• Doctor of Philosophy (PhD) in Public Health
• Bachelor of Science with Honours (B.Sc. Hons.) in Statistics

• “Women in Modelling at LSHTM” Initiative by the Bill & Melinda Gates Foundation, 2023

• Assistant Professor, Faculty of Epidemiology and Population Health, LSHTM, Aug 2021–Present
• Visiting Research Fellow, Saw Swee Hock School of Public Health
• NUS, May 2019–July 2023
• Research Fellow in Infectious Disease, Faculty of Epidemiology and Population Health, LSHTM, May 2019–Jul 2021
• Postdoctoral Fellow, Biostatistics and Modelling Domain, Saw Swee Hock School of Public Health NUS, Jan 2019–Apr 2019
• Research Assistant, Biostatistics and Modelling Domain, Saw Swee Hock School of Public Health NUS, Jul 2014–Dec 2018

• Programme Leader (NUS Public Health office in Lao PDR)

• World Health Organization

• Prem K, Choi YH, Bénard É, Burger EA, Hadley L, Laprise JF, Regan MC, Drolet M, Sy S, Abbas K, Portnoy A, Kim JJ, Brisson M, Jit M. Global impact and cost-effectiveness of one-dose versus two-dose human papillomavirus vaccination schedules: a comparative modelling analysis. BMC Medicine. 2023
• Prem K, Liu Y, Russell TW, Kucharski AJ, Eggo RM, Davies N, CMMID COVID-19 working group, Jit M, Klepac P. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study. The Lancet Public Health. 2020
• Davies NG, Klepac P, Liu Y, Prem K, Jit M, Eggo RM. Age-dependent effects in the transmission and control of COVID-19 epidemics. Nature Medicine. 2020 Jun 16;1–7. Available from: https://doi.org/10.1038/s41591-020-0962-9
• Prem K, Zandvoort K van, Klepac P, Eggo RM, Davies NG, Cook AR, Jit M. Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era. PLoS Computational Biology. 2021 Jul 26;17(7):e1009098.
• Prem K, Cook AR, Jit M. Projecting social contact matrices in 152 countries using contact surveys and demographic data. PLoS Computational Biology. 2017;13(9).