Active Public Health & Healthcare Mathematics & Statistics

JUNIPER Partnership

In plain English

AI plain-English summary

The COVID-19 pandemic turned epidemic modelling into a real-time decision-making tool, and the JUNIPER consortium helped lead that shift—now it is expanding into a permanent national resource. This matters because the pandemic exposed a gap: models were built in a crisis, but the methods, data links, and policy connections developed under pressure were never systematically integrated into routine science. Without that integration, the next outbreak will again force researchers to improvise. JUNIPER will embed the lessons learned—tracking new variants, optimising vaccine deployment, modelling transmission in schools—into the mainstream discipline. If this succeeds, the UK will have a standing infrastructure that can answer urgent policy questions within days of a novel outbreak: should schools close, who gets vaccinated first, how do changing behaviours alter spread? The work also tackles harder, slower questions—how to fold behavioural data and genomic surveillance into predictions—that will make future models more reliable. This is not fundamental science; it is applied infrastructure for epidemic response, designed to keep public health decisions grounded in the best available data.

View original technical description
The COVID-19 pandemic placed public health and epidemiology in the public and political spotlight. During the pandemic, a range of models and analysis were called upon to help understand the changing patterns of disease and the likely implications of changes to control measures. This led to major scientific advances that have expanded our ideas of what epidemic models can achieve. The existing JUNIPER consortium was instrumental in many of these advances, with developments in identifying and understanding the spread of new variants, the optimal deployment of vaccines, modelling infection dynamics within schools and universities, and making longer-term projections assessing behavioural uncertainties, vaccination and the relaxation of controls. We now have an opportunity to build on these developments, bringing the ideas that were developed as emergency responses into the mainstream discipline, so that the lessons learned and scientific developments can have the widest benefit. The award will grow the existing JUNIPER consortium into a nationwide resource, with seminars, meetings and collaborative workshops. We will also continue to develop the international aspects of the programme, learning from the best in the world and exporting our knowledge and experience. This award will also build on the successes and reputation of the existing JUNIPER consortium to enable researchers in a wide number of related disciplines to bring their expertise into predictive models. Our focused interdisciplinary workshops will enable researchers to address key questions such as "how should behaviour be incorporated into epidemiological predictions and what are the key data sources on changing behaviour?" and "how do we make the most of new data sources, such as rapid genomics or environmental sampling, to generate more reliable predictions?" The science of infectious disease dynamics will be at its most powerful when model development, data sources and policy demands are all aligned. The JUNIPER partnership will ensure that the UK remains a leading force in using pandemic models to address the challenges posed by new outbreaks. Through focused meetings with policy advisors and public health experts, we will ensure that models and data are in place to address key questions that will arise during any novel outbreak, such as "do we need to close schools to protect children or the wider community?" and "who should we target for vaccination to minimise the scale of the outbreak?".

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Researchers

Julia Rose Gog (Principal Investigator)Matthew Keeling (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

COVID-19 Modelling Consortium: quantitative epidemiological predictions in response to an evolving pandemic
International Public Policy Observatory
Waves, Lock-Downs, and Vaccines - Decision Support and Model with Superb Geographical and Sociological Resolution
Tackling epidemic threats by advancing the science of human interactions and infection
Planning for a pandemic: a global disease modelling platform

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Research Grant

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