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Usage Information

Recent endemic coronavirus infection is associated with less-severe COVID-19
Manish Sagar, … , Laura F. White, Joseph P. Mizgerd
Manish Sagar, … , Laura F. White, Joseph P. Mizgerd
Published September 30, 2020
Citation Information: J Clin Invest. 2021;131(1):e143380. https://doi.org/10.1172/JCI143380.
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Concise Communication COVID-19

Recent endemic coronavirus infection is associated with less-severe COVID-19

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Abstract

Four different endemic coronaviruses (eCoVs) are etiologic agents for the seasonal common cold, and these eCoVs share extensive sequence homology with human SARS coronavirus 2 (SARS-CoV-2). Here, we show that individuals with, as compared with those without, a recent documented infection with eCoV were tested at greater frequency for respiratory infections but had a similar rate of SARS-CoV-2 acquisition. Importantly, the patients with a previously detected eCoV had less-severe coronavirus disease 2019 (COVID-19) illness. Our observations suggest that preexisting immune responses against endemic human coronaviruses can mitigate disease manifestations from SARS-CoV-2 infection.

Authors

Manish Sagar, Katherine Reifler, Michael Rossi, Nancy S. Miller, Pranay Sinha, Laura F. White, Joseph P. Mizgerd

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Usage data is cumulative from March 2022 through March 2023.

Usage JCI PMC
Text version 14,053 328
PDF 669 86
Figure 245 2
Table 256 0
Supplemental data 114 3
Citation downloads 237 0
Totals 15,574 419
Total Views 15,993

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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