Challenges on the interaction of models and policy for pandemic control.
The COVID-19 pandemic has seen infectious disease modelling at the forefront of government decision-making. Models have been widely used throughout the pandemic to estimate pathogen spread and explore the potential impact of different intervention strategies. Infectious disease modellers and policymakers have worked effectively together, but there are many avenues for progress on this interface. In this paper, we identify and discuss seven broad challenges on the interaction of models and policy for pandemic control. We then conclude with suggestions and recommendations for the future.
Isaac Newton Institute for Mathematical Sciences (EP/R014604/1, EP/P001173/1, RG92770)
Scottish Funding Council (EP/R014604/1, RG92770, EP/P001173/1)
University of Edinburgh (EP/P001173/1, EP/R014604/1, RG92770)
Alan Turing Institute (EP/R014604/1, RG92770, EP/P001173/1)
Wellcome Trust (EP/R014604/1, RG92770, EP/P001173/1)