Office: MSB 5:11
Themes: Mathematical Biology, Epidemiology
Techniques: ODEs, PDEs, stochastic models, branching processes, numerial simulation, Bayesian model fitting
I am a mathematical epidemiologist interested in population-level disease dynamics. I have a particular interest in vector-borne transmission and neglected tropical diseases. I am keen on developing new modelling approaches and theory as well as answering highly focused applied research questions which can aid in the control or elimination of diseases.
I currently research and develop models for the vector-borne disease human African trypanosomiasis (HAT), more commonly known as sleeping sickness. I lead the newly funded Bill and Melinda Gates Foundation (BMGF) research project, HAT Modelling and Economic Predictions for Policy (HAT MEPP), which aims to inform strategic decision-making around strategies for the elimination of HAT. An international, multidisciplinary group of mathematical modellers and economists will work together with other researchers and national programmes to assess local elimination strategies, provide cost-effectiveness analyses and deliver an elimination investment case.
I also work under the Neglected Tropical Disease (NTD) Modelling Consortium which is funded by BGMF. Using novel mathematical models fitted to human case data from various endemic foci, my aim on this project has been to assess the likelihood that the World Health Organization's 2020 goal of elimination as a public health problem will be met for this disease. I have also evaluated the relative effectiveness of complimentary strategies in addition to typical medical interventions such as vector control, improved passive surveillence and targeting high-risk groups in screening.
Some of the other diseases I have worked on are:
- Visceral leishmaniasis
- Avian malaria in the Hawaiian honeycreeper
Most relevant recent publications:
Mahamat, M. H., Peka, M., Rayaisse, J. B., Rock, K. S., ... & Courtin, F. (2017). Adding tsetse control to medical activities contributes to decreasing transmission of sleeping sickness in the Mandoul focus (Chad). PLoS neglected tropical diseases, 11(7), e0005792.
Rock, K. S., Pandey, A., Ndeffo-Mbah, M. L., Atkins, K. E., Lumbala, C., Galvani, A., & Keeling, M. J. (2017). Data-driven models to predict the elimination of sleeping sickness in former Equateur province of DRC. Epidemics, 18, 101-112.
Rock, K. S., Torr, S. J., Lumbala, C., & Keeling, M. J. (2017). Predicting the Impact of intervention strategies for sleeping sickness in two high-endemicity health zones of the Democratic Republic of Congo. PLoS neglected tropical diseases, 11(1), e0005162.
Africa sleeping sickness meeting (27th-29th March 2017). Held at the University of Warwick.
Recent research grants:
HAT Modelling and Economic Predictions for Policy (HAT MEPP) with Matt Keeling, Paul Brown, Jason Madan, Funded by: Gates Foundation, Project Start Date 09-11-2017 - Project End Date 28-02-2021
Personal Homepage: https://go.warwick.ac.uk/hatmepp