Centre for Mathematical Modelling of Infectious Diseases

Centre for Mathematical Modelling of Infectious Diseases
Name	Centre for Mathematical Modelling of Infectious Diseases
Formation	2007
Type	Research centre
Headquarters	London
Leader title	Director
Parent organization	London School of Hygiene & Tropical Medicine

Centre for Mathematical Modelling of Infectious Diseases is an interdisciplinary research centre that develops quantitative models to study the transmission, control, and prevention of infectious diseases. The centre integrates methods from Alan Turing-inspired modelling traditions, Ronald Ross-style epidemiology, and contemporary computational approaches pioneered at institutions such as Imperial College London, Harvard University, and Wellcome Trust. It operates within a network of public health, academic, and policy organisations including World Health Organization, European Centre for Disease Prevention and Control, and national public health agencies.

History

The centre was established to bridge theoretical work from researchers influenced by Kermack and McKendrick with applied public health practice found at London School of Hygiene & Tropical Medicine, University of Oxford, and University of Cambridge. Early collaborations linked investigators formerly associated with Institut Pasteur, National Institutes of Health, and University of Edinburgh, drawing on legacies from figures such as Francis Crick and John Snow-related traditions in outbreak investigation. The centre expanded its remit during major global events including responses to 2009 swine flu pandemic, 2014 West African Ebola epidemic, and the COVID-19 pandemic, aligning with funders like Bill & Melinda Gates Foundation, UK Research and Innovation, and National Science Foundation.

Research Programmes and Methodologies

Research programmes combine stochastic and deterministic frameworks rooted in the work of Andrey Kolmogorov and Norbert Wiener, using techniques from Richard Bellman-style control theory, Claude Shannon-informed information theory, and machine-learning advances from groups at Google DeepMind and Microsoft Research. Methodologies encompass phylogenetic inference linked to David Reich-era genomics, Bayesian hierarchical modelling reminiscent of Thomas Bayes and Pierre-Simon Laplace, and contact-network analysis drawing on concepts from Erdős–Rényi and Duncan Watts. The centre employs high-performance computing infrastructure comparable to clusters at CERN and leverages data assimilation methods used by European Space Agency-supported projects. Collaborative statistical methods reference work from Bradley Efron, Donald Rubin, and Jerome Friedman.

Key Projects and Contributions

Notable projects include real-time epidemic forecasting analogous to efforts by Centers for Disease Control and Prevention modelling teams, genomic epidemiology initiatives linked to Wellcome Sanger Institute, and vaccine impact evaluation comparable to analyses from Gavi, the Vaccine Alliance. The centre contributed modelling that informed responses to outbreaks involving pathogens studied by WHO Strategic Advisory Group of Experts on Immunization, and produced transmission estimates paralleling seminal work by Neil Ferguson and Iain Murray. Contributions to antimicrobial resistance modelling echo research at Wellcome Trust Sanger Institute and ReAct, while modelling of vector-borne disease dynamics connects to research at Rockefeller Foundation-affiliated projects and London School of Hygiene & Tropical Medicine partners. The centre's outputs have been presented at forums such as Royal Society, Royal Statistical Society, and Academy of Medical Sciences.

Collaborations and Partnerships

The centre maintains partnerships with academic institutions including University College London, King's College London, Johns Hopkins University, Columbia University, and Erasmus University Rotterdam, and engages with public health agencies such as Public Health England, Public Health Agency of Canada, and Australian Department of Health. International collaborations span African Union-linked networks, Pan American Health Organization, and research consortia funded by European Commission programmes. Partnerships with industry and non-profits include projects with Bill & Melinda Gates Foundation, Medecins Sans Frontieres, and technology collaborations with Amazon Web Services and IBM Research.

Education and Training

Educational activities include doctoral supervision linked to Doctor of Philosophy programmes at London School of Hygiene & Tropical Medicine and postdoctoral fellowships modeled after schemes at Wellcome Trust and Marie Skłodowska-Curie Actions. Short courses and workshops draw on pedagogical resources similar to those at National Institutes of Health training centres and summer schools inspired by École Polytechnique and Santa Fe Institute. Training emphasises quantitative skills seen in curricula from Massachusetts Institute of Technology, California Institute of Technology, and Stanford University, and includes modules on genomic epidemiology, statistical inference, and policy translation exemplified by programmes at Harvard T.H. Chan School of Public Health.

Impact on Policy and Public Health Guidance

Modelling outputs have informed guidance from bodies such as World Health Organization, National Health Service, and European Medicines Agency, influencing vaccine prioritisation similar to decisions made by Joint Committee on Vaccination and Immunisation and intervention strategies discussed in advisory groups like Scientific Advisory Group for Emergencies. The centre's analyses supported decision-making during emergencies paralleling interventions advised during the 2014 Ebola outbreak and policy frameworks used in the COVID-19 pandemic response, interfacing with legislative and regulatory processes in regions governed by institutions like United Nations and Council of the European Union.

Category:Infectious disease modelling