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Simulated identification of silent COVID-19 infections among children; estimated future infection rates with vaccination

04.23.21 | JAMA Network

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What The Study Did: This simulation modeling study estimates the benefits of identifying silent COVID-19 infections among children as a proxy for their vaccination.

Authors: Alison P. Galvani, Ph.D., of the Yale School of Public Health in New Haven, Connecticut, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2021.7097)

Editor's Note: The article includes conflict of interest and funding/support disclosures. Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

# # # Media advisory: The full study and commentary are linked to this news release.

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About JAMA Network Open: JAMA Network Open is the new online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.

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JAMA Network Media Relations
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How to Cite This Article

APA:
JAMA Network. (2021, April 23). Simulated identification of silent COVID-19 infections among children; estimated future infection rates with vaccination. Brightsurf News. https://www.brightsurf.com/news/L3RY4E68/simulated-identification-of-silent-covid-19-infections-among-children-estimated-future-infection-rates-with-vaccination.html
MLA:
"Simulated identification of silent COVID-19 infections among children; estimated future infection rates with vaccination." Brightsurf News, Apr. 23 2021, https://www.brightsurf.com/news/L3RY4E68/simulated-identification-of-silent-covid-19-infections-among-children-estimated-future-infection-rates-with-vaccination.html.