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.
Recent publications
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A cost-effectiveness analysis of South Africa's COVID-19 vaccination programme.
Edoka I. et al, (2024), Vaccine
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Contribution of vaccination to improved survival and health: modelling 50 years of the Expanded Programme on Immunization.
Shattock AJ. et al, (2024), Lancet (London, England), 403, 2307 - 2316
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Report from the World Health Organization's immunization and vaccines-related implementation research advisory committee (IVIR-AC) meeting, virtual gathering, 26 February-1 March 2024.
Lambach P. et al, (2024), Vaccine, 42, 3379 - 3383
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Strengthening health policy modelling in Africa.
Thumbi SM. et al, (2024), The Lancet. Global health, 12, e555 - e556
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The Full Value of Vaccine Assessments Concept-Current Opportunities and Recommendations.
White RG. et al, (2024), Vaccines, 12