Study Identifies Abnormal Surge of Flu-like Illnesses in March

Modelers try a new approach to gauge the true number of COVID-19 cases in the US by using surveillance data for flu-like illnesses.

Written byKatarina Zimmer
| 5 min read
influenza-like illness ILI surge march coronavirus modeling model pandemic sars-cov-2 infection

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It’s widely accepted among experts that reported COVID-19 cases—currently around 2.6 million for the US—is a vast underestimate of the actual number of infections by the SARS-CoV-2 coronavirus due to limited testing capacity. But figuring out just how much of an underestimate it is has remained elusive.

A three-person team of researchers estimates that 8.7 million Americans could have been infected with the novel coronavirus between March 8 and 28, a period during which fewer than 120,000 new cases were documented. The findings, published last week (June 22) in Science Translational Medicine, are based on an abnormal surge of flu-like illnesses reported to a federal disease surveillance network in March, which the authors attribute largely to SARS-CoV-2.

“[The study’s] estimate is plausible but on the very high end of what other models and experts say was happening at the time,” says Nicholas Reich, a biostatistician at ...

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Meet the Author

  • katya katarina zimmer

    After a year teaching an algorithm to differentiate between the echolocation calls of different bat species, Katarina decided she was simply too greedy to focus on one field of science and wanted to write about all of them. Following an internship with The Scientist in 2017, she’s been happily freelancing for a number of publications, covering everything from climate change to oncology. Katarina is a news correspondent for The Scientist and contributes occasional features to the magazine. Find her on Twitter @katarinazimmer and read her work on her website.

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