MEMVIE (Mathematical & Economic Modelling for Vaccination and Immunisation Evaluation)

The MEMVIE (Mathematical & Economic Modelling for Vaccination and Immunisation Evaluation) project involves the construction of novel mathematical and statistical models for simulating the spread of infectious diseases in humans, and evaluating the cost-effectiveness of different vaccination interventions. The outputs of the models are used in conjunction with independent modelling done by the UK Health Security Agency (part of the Department of Health), to advise on future vaccination policy in the UK. Another pioneering aspect of the MEMVIE project is the development of a framework for public involvement in mathematical and health economic modelling.

The project teams leads are Matt Keeling (epidemiological modelling lead), Stavros Petrou (health economic modelling lead) and Sophie Staniszewska (public involvement lead).

As a Postdoctoral Researcher, I worked on the MEMVIE project between June 2017 - September 2019. My focus at that time was on modelling seasonal influenza.

Since September 2023, I am a co-investigator on the latest iteration of the MEMVIE project.

Peer-reviewed publications:

• Developing a Framework for Public Involvement in Mathematical and Economic Modelling: Bringing New Dynamism to Vaccination Policy Recommendations.
  Sophie Stanizewska, Edward M Hill, Richard Grant, Peter Grove, Jarina Porter, Tinevimbo Shiri, Sue Tulip, Jane Whitehurst, Claire Wright, Samik Datta, Stavros Petrou, Matt J Keeling. (2021)
  Patient. doi:10.1007/s40271-020-00476-x
  

• Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation.
  Edward M Hill, Stavros Petrou, Henry Forster, Simon de Lusignan, Ivelina Yonova, Matt J Keeling (2020)
  PLoS Comput Biol 16(10): e1008278. doi:10.1371/journal.pcbi.1008278
  

• Seasonal influenza: Modelling approaches to capture immunity propagation.
  Edward M Hill, Stavros Petrou, Simon de Lusignan, Ivelina Yonova, Matt J Keeling (2019)
  PLoS Comput Biol 15(10): e1007096. doi:10.1371/journal.pcbi.1007096