Researchers at Trinity College Dublin have provided an updated estimate of the incubation period for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) – the agent causes coronavirus disease 2019 (COVID-19).
Initial estimates made during the early stages of the pandemic ranged from around 4 to 7 days.
However, numerous reports have since emerged, estimating an incubation period of anything from one to 34 days.
Currently, governments are planning their mitigation strategies based on a maximum incubation period of 14 days.
Now, Prakashini Banka and Catherine Comiskey have conducted a modeling study highlighting the variability in this period, including the potential for incubation that extends beyond 14 days.
An accurate estimate of the incubation period distribution for SARS-CoV-2 is essential for modeling the virus’s spread and the effectiveness of control measures.
Banka and Comiskey warn that since the incubation period may be longer than initially estimated, detailed surveillance of self-isolation periods and other protective measures is now needed.
A pre-print version of the paper is available on the server medRxiv*, while the article undergoes peer review.
The challenges faced in modeling the spread of SARS-CoV-2
Early estimates of the SARS-CoV-2 incubation period ranged from 4.0 to 6.4 days, but since then, several studies have estimated that incubation periods range from one to 34 days.
When an epidemic results in both symptomatic and asymptomatic infections, it becomes difficult to establish disease prevalence and transmission.
“Mathematical modeling of the effective reproductive number R of an epidemic, the spread of infection, and the subsequent decisions on planning and mitigation is fully dependent on accurate and up to date estimates of the key modeling parameters,” say the researchers.
Given the improvements in surveillance and monitoring since the first cases were identified, Banka and Comiskey have now conducted a scoping review and meta-analysis of the parameters of the global incubation period of COVID-19.
The aim was to provide an updated estimate of the incubation period distribution that will help improve modeling estimates of the effective reproductive number R and, in turn, estimates of the prevalence of asymptomatic cases.
What did the researchers do?
The team searched five databases, including CINAHL, MEDLINE, PUBMED, EMBASE, ASSIA, and Global Index Medicus for studies published between January 1st, 2020, and July 27th, 2020.
After screening the articles, 64 were included, covering a total of 45,151 people aged 0 to 90 years, with a median age of 43 years.
The minimum incubation period ranged from 1 to 9 days and the maximum incubation period ranged from 4 to 34 days. The mean incubation period (based on 30 studies) was 6.71, with 95% confidence intervals ranging from 1 to 12.4 days.
A confidence interval (CI) is an estimate that indicates the range of values that the actual value could lie within. Therefore, the CI helps to quantify the uncertainty of an estimate when the true value cannot be known.
The median incubation period (based on 58 studies) was 6 days, with an interquartile range (IQR) of 1.8 to 16.3.
The IQR is a measure of where the middle 50% of values lie in a data set, indicating where most values lie. The smaller the IQR, the closer the data are to the median, while the larger the IQR, the further the data are spread from the median.
Banka and Comiskey say this study has found that the mean incubation period may be significantly longer than has previously been estimated.
“The findings highlight the variability in the mean period and the potential for further incubation beyond 14 days,” they write.
It is essential to maintain an accurate and updated estimate
The researchers say it is essential to maintain an accurate and up-to-date estimate of the SARS-CoV-2 incubation period as the virus continues to spread so that mitigation measures and advice to the general public can be properly planned.
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