Health and Healthcare Systems

Stay-at-home orders worked to slow COVID-19's spread, study shows

Lawyer Timon Karamanos, 40, works from home, following the coronavirus disease (COVID-19) outbreak, in Athens, Greece, June 24, 2020. Picture taken June 24, 2020. REUTERS/Alkis Konstantinidis - RC22HH94NLHN

Stay-at-home orders appear to have significantly slowed the spread of the disease for the US. Image: REUTERS/Alkis Konstantinidis

Brown University
  • COVID-19 has infected more than 18 million people worldwide.
  • New research shows that stay-at-home orders significantly slowed the spread of the virus in the US.
  • After mitigation measures, the number of cases took more than two weeks to double - compared to less than three days before the stay-at-home order.

Across the globe, COVID-19 has infected more than 18 million people to date and has killed hundreds of thousands—and the United States has taken an especially hard hit.

Although the US comprises just 4.2% of the global population, it accounted for approximately 33% of all reported infections by the end of April.

However, the majority of US states eventually imposed stay-at-home orders, and those orders appear to have significantly slowed the spread of the disease for the nation as a whole.

These findings—along with a state-by-state breakdown of how quickly COVID-19 spread before and after lockdown orders—appear in the Journal of Infectious Diseases.

COVID-19 United States
Stay-at-home orders appear to have significantly slowed the spread of the disease. Image: Boston University

“Understanding the trajectory of the epidemic in the US is critical, and measuring the impact of stay-at-home orders on epidemic growth offers evidence for current and future COVID-19 control and containment measures,” says coauthor Mark Lurie, an associate professor of epidemiology at Brown University.

“While this was not a randomized trial, and therefore we cannot establish causation, what was clear in our study is that stay-at-home orders were significantly associated with slowing epidemic growth rates.”

The study calculated the pandemic doubling time—the amount of time it takes for the number of cases to double—on both a national level and for individual states. An increase in doubling time indicates a slowing pandemic.

Before the effects of widespread lockdowns became apparent—from March 4 until April 4—the national pandemic doubling time was 2.68 days. This doubling time increased significantly, to an average of 15 days, in the period between April 5 and April 30.

In other words, the number of cases doubled in less than three days before mitigation measures were put into place. In contrast, after mitigation measures, the number of cases took more than two weeks to double.

But while doubling time increased in all states, the rate of increase varied. On average, the 45 states with stay-at-home orders in place added about 12.27 days to their doubling time, indicating significant slowing of disease spread. Meanwhile, the five states without stay-at-home orders—Arkansas, Iowa, Nebraska, North Dakota, and South Dakota—added only about six days to their doubling time, and four of these states exhibited some of the worst doubling rates in the nation.

“We hope that these findings contribute to a growing body of evidence aimed at studying the full course of COVID-19 in America,” says lead coauthor Joe Silva, a PhD student at the School of Public Health. “This study does not imply stay-at-home orders were the sole factor that drove the observed increase in epidemic doubling time, but the data may be representative of the impact of multiple public health measures.”

As the researchers published their findings, they did so aware that the US is far from having successfully addressed the COVID-19 pandemic, he adds.

“Our study period included data through the end of April, and since then cases have increased beyond what was previously thought to be the peak of the pandemic within our borders,” Silva says.

“During this time, states have also removed stay-at-home orders, and it will be just as important to study the potential impacts on disease spread after these measures were no longer in place.”

Source: Kerry Benson for Brown University

Original Study DOI: 10.1093/infdis/jiaa491

Loading...
Loading...
Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

United States

Share:
The Big Picture
Explore and monitor how United States is affecting economies, industries and global issues
World Economic Forum logo

Forum Stories newsletter

Bringing you weekly curated insights and analysis on the global issues that matter.

Subscribe today

The top global health stories from 2024

Shyam Bishen

December 17, 2024

5 ways generative AI could transform clinical trials

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2024 World Economic Forum