Effects of Varying Approaches to Lifting COVID-19 Pandemic Restrictions in the United States
Galarraga, J. E.; Popovsky, D.; Delijani, K.; Hanson, H.; Hanlon, M.
Show abstract
BackgroundPolicy approaches to lifting COVID-19 restrictions have varied significantly across the United States. An evaluation of the effects of state reopening policies on population health outcomes can inform ongoing and future pandemic responses. This study evaluates the approaches to lifting social distancing restrictions based on adherence to the Centers for Disease Control and Prevention (CDC) guidance established during the first wave of the COVID-19 pandemic. MethodsWe performed a retrospective study using difference-in-differences analyses to examine the effects of reopening policies on COVID-19 outcomes with risk-adjustment for population density, temporal changes, and concurrent mask policy implementation. We examined the effects of reopening policies on per capita case rates and rates of severe COVID-19 outcomes, including hospitalizations and deaths. ResultsAdherence to the CDCs reopening gating metrics and phased social distancing guidelines resulted in fewer COVID-19 cases, hospitalizations, and deaths. Phase one adherent states exhibited a 50-fold reduction in daily new cases and a 3-fold reduction in daily new deaths after reopening. Phase two adherent states experienced improvements in COVID-19 outcomes after reopening, while non-adherent states had a resurgence of worsening outcomes after lifting restrictions. ConclusionsOur study findings indicate that adherence to the CDCs reopening guidance after implementing social distancing restrictions during the COVID-19 pandemic substantially prevents new cases, hospitalizations, and deaths. Following a stepwise reopening strategy and ensuring a sustained decline in case rates and test positivity rates before lifting restrictions can mitigate on a large scale the negative effects of a pandemic on population health outcomes.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- COVID-19 cases and hospitalizations averted by case investigation and contact tracing in the United States 94%
- Geographic and Temporal Patterns in Covid-19 Mortality by Race and Ethnicity in the United States from March 2020 to February 2022 93%
- Public Preferences for Social Distancing Behaviors to Mitigate the Spread of COVID-19: A Discrete Choice Experiment 93%
Similar papers in this journal
- The COVID-19 health equity twindemic: Statewide epidemiologic trends of SARS-CoV-2 outcomes among racial minorities and in rural America 95%
- Impact of SARS-CoV-2 Vaccines on Covid-19 Incidence and Mortality in the United States 95%
- The Impact of Vaccination to Control COVID-19 Burden in the United States: A Simulation Modeling Approach 94%
Similar papers in this journal
- Late surges in COVID-19 cases and varying transmission potential partially due to public health policy changes in 5 Western states, March 10, 2020-January 10, 2021 97%
- SARS-CoV-2 Transmission Potential and Policy Changes in South Carolina, February 2020 – January 2021 96%
- Feasibility, Acceptability, and Barriers to Implementing Select Non-Pharmaceutical Interventions to Reduce the Transmission of Pandemic Influenza - United States, 2019 95%
Similar papers in this journal
- Impact of healthcare capacity disparities on the COVID-19 vaccination coverage in the United States 92%
- Understanding Convergence Between Non-Hispanic Black and White COVID-19 Mortality: A County-Level Approach 91%
- Lives saved and hospitalizations averted by COVID-19 vaccination in New York City 91%
Similar papers in this journal
- The effect of smaller classes on infection-related school absence: Evidence from the Project STAR randomized controlled trial 93%
- Structural racism and COVID-19 response: Higher risk of exposure drives disparate COVID-19 deaths among Black and Hispanic/Latinx residents of Illinois, USA 93%
- Association between vaccination rates and COVID-19 health outcomes in the United States: a population-level statistical analysis 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.