Design of COVID-19 staged alert systems to ensure healthcare capacity with minimal closures

Nat Commun. 2021 Jun 18;12(1):3767. doi: 10.1038/s41467-021-23989-x.

Abstract

Community mitigation strategies to combat COVID-19, ranging from healthy hygiene to shelter-in-place orders, exact substantial socioeconomic costs. Judicious implementation and relaxation of restrictions amplify their public health benefits while reducing costs. We derive optimal strategies for toggling between mitigation stages using daily COVID-19 hospital admissions. With public compliance, the policy triggers ensure adequate intensive care unit capacity with high probability while minimizing the duration of strict mitigation measures. In comparison, we show that other sensible COVID-19 staging policies, including France's ICU-based thresholds and a widely adopted indicator for reopening schools and businesses, require overly restrictive measures or trigger strict stages too late to avert catastrophic surges. As proof-of-concept, we describe the optimization and maintenance of the staged alert system that has guided COVID-19 policy in a large US city (Austin, Texas) since May 2020. As cities worldwide face future pandemic waves, our findings provide a robust strategy for tracking COVID-19 hospital admissions as an early indicator of hospital surges and enacting staged measures to ensure integrity of the health system, safety of the health workforce, and public confidence.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • COVID-19 / epidemiology*
  • COVID-19 / therapy*
  • COVID-19 / transmission
  • COVID-19 / virology
  • Computer Simulation
  • Delivery of Health Care / methods
  • Delivery of Health Care / statistics & numerical data
  • Hospitalization / statistics & numerical data*
  • Humans
  • Intensive Care Units / statistics & numerical data
  • Intensive Care Units / supply & distribution
  • Quarantine / methods
  • SARS-CoV-2 / isolation & purification
  • Texas / epidemiology