Dr Sheetal Silal
Honorary Visiting Research Fellow
My primary area of research is mathematical modelling of infectious diseases. This is the application of mathematical modelling and computer simulation through techniques such as differential equation modelling and agent based simulation to predict the dynamics and control of infectious diseases to evaluate, among other things, the potential impact of control programmes in reducing morbidity and mortality.
My research focuses on using mathematics and statistics to model the control and elimination of malaria and other infectious diseases in South Africa, sub-Saharan Africa and the Asia Pacific region. My research agenda for the next five years is to incorporate mathematical disease modelling into computer-based applications that can be used to predict the impact of malaria policy on a population of interest to aid the design of effective malaria policies. These tools will be made available to the National Malaria Control Programmes (NMCPs) of various countries in Africa.
Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.
Pollett S. et al, (2021), PLoS medicine, 18
Investment case for malaria elimination in South Africa: a financing model for resource mobilization to accelerate regional malaria elimination.
Njau J. et al, (2021), Malaria journal, 20
Operational research: A multidisciplinary approach for the management of infectious disease in a global context.
Silal SP. and Modelling and Simulation Hub, Africa (MASHA) None., (2021), European journal of operational research, 291, 929 - 934
The Role of Remdesivir in South Africa: Preventing COVID-19 Deaths Through Increasing Intensive Care Unit Capacity.
Nichols BE. et al, (2021), Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 72, 1642 - 1644
Cost-effectiveness of Remdesivir and Dexamethasone for COVID-19 Treatment in South Africa
Jo Y. et al, (2021), Open Forum Infectious Diseases, 8