The median incubation period of COVID-19 from exposure to the onset of symptoms is 5.1 days, researchers say, meaning the recommended 14-day quarantine period is a reasonable amount of time to monitor individuals for development of the disease
A new study led by researchers at Johns Hopkins Bloomberg School of Public Health suggests that the median incubation period for SARS-CoV-2—the new coronavirus that causes the respiratory illness COVID-19—is 5.1 days.
This median time from exposure to onset of symptoms suggests that the 14-day quarantine period used by the U.S. Centers for Disease Control and Prevention for individuals with likely exposure to the coronavirus is a reasonable amount of time to monitor individuals for development of the disease.
The analysis suggests that about 97.5% of people who develop symptoms of SARS-CoV-2 infection will do so within 11.5 days of exposure. The researchers estimated that for every 10,000 individuals quarantined for 14 days, only about 101 would develop symptoms after being released from quarantine.
The findings were published online today in the journal Annals of Internal Medicine.
For the study, the researchers analyzed 181 cases from China and other countries that were detected prior to Feb. 24, were reported in the media, and included likely dates of exposure and symptom onset. Most of the cases involved travel to or from Wuhan, China, the city at the center of the epidemic, or exposure to individuals who had been to Hubei, the province for which Wuhan is the capital.
The CDC and many other public health authorities around the world have been using a 14-day quarantine or active-monitoring period for individuals who are known to be at high risk of infection due to contact with known cases or travel to a heavily affected area.
“Based on our analysis of publicly available data, the current recommendation of 14 days for active monitoring or quarantine is reasonable, although with that period some cases would be missed over the long-term,” says study senior author Justin Lessler, an associate professor in the Bloomberg School’s Department of Epidemiology.
The global outbreak of SARS-CoV-2 infection emerged in December 2019 in Wuhan, a city of 11 million people in central China, and has resulted in more than 113,000 confirmed cases around the world and nearly 4,000 deaths from pneumonia caused by the virus, according to the COVID-19 tracker map developed by engineers at Johns Hopkins University. The majority of the cases are from Wuhan and the surrounding Hubei province, although dozens of other countries have been affected, including the U.S., but chiefly South Korea, Iran, and Italy to date.
An accurate estimate of the disease incubation period for a new virus makes it easier for epidemiologists to gauge the likely dynamics of the outbreak. It also allows public health officials to design effective quarantine and other control measures. Quarantines typically slow and may ultimately stop the spread of infection, even if there are some outlier cases with incubation periods that exceed the quarantine period.
Lessler notes that sequestering people in a way that prevents them from working has both personal and societal costs, which is perhaps made most obvious when health care workers and first responders like firefighters are quarantined.
The new estimate of 5.1 days for the median incubation period of SARS-CoV-2 is similar to estimates from the earliest studies of this new virus, which were based on fewer cases. This incubation period for SARS-CoV-2 is in the same range as SARS-CoV, a different human-infecting coronavirus that caused a major outbreak centered in southern China and Hong Kong from 2002-04. For MERS-CoV, a coronavirus that has caused hundreds of cases in the Middle East, with a relatively high fatality rate, the estimated mean incubation period is 5–7 days.
Human coronaviruses that cause common colds have mean illness-incubation periods of about three days.
Lessler and colleagues have published an online tool that allows public health officials and members of the public to estimate how many cases would be caught and missed under different quarantine periods.