DrMarc Baguelin

My research focuses on advancing mathematical models to inform and enhance public health policy decisions. I believe that improving methodological and computational tools has the power to leverage science for better decision-making. My contributions span assessing the impact of immunisation campaigns, integrating serological data into models for understanding transmission, and modelling outbreak responses. I am a vocal advocate for open data and transparent coding in public health decision-making.

My group develops inference methods and tools for modelling infectious disease transmission and potential interventions, focusing on a Bayesian evidence synthesis approach where multiple data streams can be used to inform parameters of complex mechanistic models in real-time applications.

Selected Grants:
- UK Research and Innovation (UKRI) COVID-19 rolling scheme - Co-Investigator: “Multiresolution predictive dynamics of COVID-19 risk and intervention effects” (Sep 2020 - Feb 2022) - £550,702.42
- NIHR (Global Health Research Groups) Co-Investigator and Work Package Leader: Modelling and cost-effectiveness “Evidence to Policy pathway to Immunisation in China” (2017-2021) - £1.81 million
- European Commission (Horizon 2020) Work Package Leader: Modelling and cost-effectiveness “Integrated Monitoring of Vaccines in Europe” (I-MOVE+) (2015-2018) - £2.5 million
- MRC (Infection and Immunity Board) Co-Investigator: "Historical serology and herd immunity of influenza viruses" (2013-2016) - £1.1 million
- Wellcome Trust (Project Award) Principal Investigator: "Coupling epidemiological and genetic using mathematical modelling" (2012-2014) - £262,342