Dr Sheetal Silal
Honorary Visiting Research Fellow in Tropical Disease Modelling
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.
Mobilizing resources with an investment case to mitigate cross-border malaria transmission and achieve malaria elimination in South Africa.
Kollipara A. et al, (2023), Global health action, 16
Differential in-hospital mortality and intensive care treatment over time: Informing hospital pathways for modelling COVID-19 in South Africa.
Jamieson L. et al, (2023), PLOS global public health, 3
The National COVID-19 Epi Model (NCEM): Estimating cases, admissions and deaths for the first wave of COVID-19 in South Africa.
Silal SP. et al, (2023), PLOS global public health, 3
The role of modelling and analytics in South African COVID-19 planning and budgeting.
Meyer-Rath G. et al, (2023), PLOS global public health, 3
Seasonal targeting of the RTS,S/AS01 malaria vaccine: a complementary tool but sustained funding is required.
Silal SP., (2022), The Lancet. Global health, 10, e1693 - e1694