In a new study, researchers have found weekly oscillations in the numbers of new daily COVID-19 cases and deaths in several countries that are more pronounced than fluctuations seen with other diseases.
The research was conducted by a team at MIT, Boston University, and Harvard Medical School.
They analyzed daily new international coronavirus case and death data from the Worldometer for the United States, Germany, Canada, Italy, Brazil, and the United Kingdom from Feb 29 to Jul 2.
In Germany and Italy, oscillations of new infections and deaths became less pronounced over time, with a 92% reduction from peak to peak in daily reported deaths from April to July, which the team said could indicate strongly slower disease transmission.
But the United States and Brazil showed only a 43% reduction in U.S. peak-to-peak oscillations in deaths during the same period, indicating that those countries have not significantly slowed transmission rates.
In the United States, the lag time between daily new cases and deaths was two days, compared with one day for Germany.
But the authors said that the lag was not caused by epidemiologic factors but rather by possible bias in the disease surveillance system.
The researchers said that the periodic oscillations in daily reported cases could have been caused by testing bias (higher testing rates on certain days of the week) but that they also saw periodic oscillations in positive testing rates, which means that other variables such as epidemiologic or social factors might be behind the observed weekly fluctuations.
They noted that previous epidemics involving other infectious agents have shown periodic oscillations, but not such high-frequency ones.
Seasonal oscillations have been observed in smallpox in Japan, India and Sweden, and dengue fever in Thailand, which suggests that immune interactions between serotypes could play a role.
Previous studies have also noted weekly oscillations in new COVID-19 cases and deaths around the world.
One such report suggested that the weekly pattern was due to less intergenerational physical distancing being observed over weekends, while another report concluded that weekly variations were caused by testing and reporting fluctuations.
The weekly oscillations should be taken into account in the estimation of COVID-19 disease spread, similar to the way experts account for seasonality in flu, the team said.
One author of the study is Qasim Bukhari.
The study is published in JAMA Network Open.
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