We employ mathematical modelling skills to understand the emergence, transmission, spread and control of infectious diseases. The goal of our research is to gain insights from data and provide evidence that guides policies on prevention and control of these infectious diseases to improve public health.
Modelling the impact of different interventions on the control of Malaria at a subnational level in Kenya
The impact of measles vaccine dosage and coverage on the elimination efforts in Kenya
Modelling for a vaccine trial, the case of chikungunya virus
Modelling the optimal treatment strategies for schistosomiasis elimination in Kenya
Modelling the optimal intervention strategies for soil transmitted helminths elimination in Kenya
Accelerating rabies elimination in Kenya:A modelling study
Assessing Progress Towards Taenia Solium Control in Kenya: Insights from a Modelling Study
Evaluating and mitigating the potential indirect effect of COVID-19 on control programmes for seven neglected tropical diseases: a modelling study. Click here
Accelerating progress towards the 2030 neglected tropical diseases targets: how can quantitative modeling support programmatic decisions? Click here
How Does Treatment Coverage and Proportion Never Treated Influence the Success of Schistosoma mansoni Elimination as a Public Health Problem by 2030?
Preprint: How improvements to drug effectiveness impact mass drug administration for control and elimination of schistosomiasis Click here
Strengthening health policy modelling in Africa Click here
