Simulated identification of silent COVID-19 infections among children; estimated future infection rates with vaccination
2021-04-23
(Press-News.org) 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.
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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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To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
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To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
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[Press-News.org] Simulated identification of silent COVID-19 infections among children; estimated future infection rates with vaccination
