Published May 24, 2023 | Version v1
Journal article Open

Balancing economic and epidemiological interventions in the early stages of pathogen emergence

  • 1. Princeton University
  • 2. Università di Pisa
  • 3. Rennes School of Business
  • 4. Luiss University
  • 5. Université Grenoble Alpes
  • 6. Rice University
  • 7. University of Chicago

Description

The global pandemic of COVID-19 has underlined the need for more coordinated responses to emergent pathogens. These responses need to balance epidemic control in ways that concomitantly minimize hospitalizations and economic damages. We develop a hybrid economic-epidemiological modeling framework that allows us to examine the interaction between economic and health impacts over the first period of pathogen emergence when lockdown, testing, and isolation are the only means of containing the epidemic. This operational mathematical setting allows us to determine the optimal policy interventions under a variety of scenarios that might prevail in the first period of a large-scale epidemic outbreak. Combining testing with isolation emerges as a more effective policy than lockdowns, substantially reducing deaths and the number of infected hosts, at lower economic cost. If a lockdown is put in place early in the course of the epidemic, it always dominates the "laissez-faire" policy of doing nothing.

Data availability

All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. All the code for numerical optimization and model simulation is available at https://doi.org/10.5281/zenodo.7498153.

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Additional details

Identifiers

DOI
10.1126/sciadv.ade6169
Other
oai:uchicago.tind.io:6133

Funding

French Government Subsidy
SCSP no. 210 292 814
Italian Ministry of University and Research (MIUR)
PRIN project
French National Research Agency
“Investissements d’Avenir” program
French National Research Agency
Center of excellence LABEX MME-DII
University of Chicago

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Ecology and Evolution