Preparing for the next pandemic takes more than better models: expert consensus recommendations for infectious disease modelling

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Abstract

Infectious disease modelling shapes pandemic policy. How that modelling should and should not be done remains untested for agreement. We combined a systematic review with a modified Delphi study among 41 experts in modelling, epidemiology, public health, and social sciences. The experts reworked statements drawn from the review, then rated them. All 40 statements reached consensus, and endorsement was strongest for 38 of them, at the highest possible median. Consensus was strongest on timely data availability, global modelling cooperation, and clear communication of model results and their scope of validity. However, by our assignment, modelling groups can act on only 18 recommendations independently. The rest need agencies, funders, or policy advisors to act between pandemics, demanding sustained funding, institutional mandates, and coordination beyond modelling. The panel worked primarily in high-income countries, so we offer these recommendations and ten priorities as an opening to a global discussion on improving pandemic preparedness.

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