Data needs for integrated economic-epidemiological models of pandemic mitigation policies

TL;DR

This paper reviews the data requirements for integrated economic-epidemiological models of pandemics, emphasizing the need for comprehensive data to improve understanding and policy response effectiveness.

Contribution

It highlights the specific data needs for modeling the interplay between economic activity and disease spread, advancing interdisciplinary pandemic modeling efforts.

Findings

Integrated models require detailed human interaction and economic data.

Current data gaps hinder accurate modeling of pandemic impacts.

Enhanced data collection can improve policy response strategies.

Abstract

The COVID-19 pandemic and the mitigation policies implemented in response to it have resulted in economic losses worldwide. Attempts to understand the relationship between economics and epidemiology has lead to a new generation of integrated mathematical models. The data needs for these models transcend those of the individual fields, especially where human interaction patterns are closely linked with economic activity. In this article, we reflect upon modelling efforts to date, discussing the data needs that they have identified, both for understanding the consequences of the pandemic and policy responses to it through analysis of historic data and for the further development of this new and exciting interdisciplinary field.