Research
Research Interests
I hold a PhD specialising in outbreak response modelling and decision-making. My work focuses on developing methods and open-source tools to evaluate the impact of pharmaceutical and non-pharmaceutical interventions on the spread of vaccine-preventable diseases.
Key interests:
- Compartmental modelling to quantify intervention impacts during epidemics.
- Real-time forecasting and nowcasting of infections and \(R_t\) using Bayesian methods with tools like EpiNow2, epinowcast, epidemia, and EpiEstim.
- Building reproducible pipelines and open source packages for outbreak analytics and model implementation.
- Improving science research culture.
Published work
You can find my published work on my Google Scholar profile.
Recent work
Top 5 most cited publications
Ongoing research work
- Evaluating the tradeoffs of using temporally aggregated data for epidemiological forecasts: a case study of COVID-19 in South Africa.
- A surveillance pipeline to detect changes in reported COVID-19 severity (case fatality, case hospitalization, and hospital fatality).
- Age-structured compartmental model for estimating the timing of detection of polio-related acute flaccid paralysis in South Africa (generalizable to other settings).
- A two-strain compartmental model for studying the impact of the timing of the emergence of variants on control strategies.