Infectious Disease Modeling: Recommendations for Public Health Decision-Makers

Infectious disease modeling plays an important role in the response to infectious disease outbreaks, perhaps most notably during the coronavirus disease 2019 (COVID-19) pandemic. In our experience working with state and local governments during COVID-19 and previous public health crises, we have observed that, while the scientific literature focuses on models' accuracy and underlying assumptions, an important limitation on the effective application of modeling to public health decision-making is the ability of decision-makers and modelers to work together productively. We therefore propose a set of guiding principles, informed by our experience, for working relationships between decision-makers and modelers. We hypothesize that these guidelines will improve the utility of infectious disease modeling for public health decision-making, irrespective of the particular outbreak in question and of the precise modeling approaches being used.

Automated summary

This article focuses on the importance of collaboration between decision-makers and modelers in effectively applying infectious disease modeling to public health decision-making. It proposes a set of guiding principles to improve the working relationships between decision-makers and modelers, aiming to enhance the utility of infectious disease modeling in public health decision-making.