Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study

The coronavirus disease 2019 (COVID-19) pandemic has caused more than 675 million confirmed cases and nearly 7 million deaths worldwide [1]. While testing for COVID-19 was initially centered in health care facilities, with required reporting to health departments, it is increasingly being performed...

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Autores principales: Kaul, Christina M, Cohen, Gabriel M, Silverstein, Matthew, Wallach, Andrew B, Diago-Navarro, Elizabeth, Holzman, Robert S, Foote, Mary K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270561/
https://www.ncbi.nlm.nih.gov/pubmed/37333721
http://dx.doi.org/10.1093/ofid/ofad281
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author Kaul, Christina M
Cohen, Gabriel M
Silverstein, Matthew
Wallach, Andrew B
Diago-Navarro, Elizabeth
Holzman, Robert S
Foote, Mary K
author_facet Kaul, Christina M
Cohen, Gabriel M
Silverstein, Matthew
Wallach, Andrew B
Diago-Navarro, Elizabeth
Holzman, Robert S
Foote, Mary K
author_sort Kaul, Christina M
collection PubMed
description The coronavirus disease 2019 (COVID-19) pandemic has caused more than 675 million confirmed cases and nearly 7 million deaths worldwide [1]. While testing for COVID-19 was initially centered in health care facilities, with required reporting to health departments, it is increasingly being performed in the home with rapid antigen testing [2]. Most at-home tests are self-interpreted and not reported to a provider or health department, which could lead to delayed reporting or underreporting of cases [3]. As such, there is a strong possibility that reported cases may become a less reliable indicator of transmission over time.
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spelling pubmed-102705612023-06-16 Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study Kaul, Christina M Cohen, Gabriel M Silverstein, Matthew Wallach, Andrew B Diago-Navarro, Elizabeth Holzman, Robert S Foote, Mary K Open Forum Infect Dis Brief Report The coronavirus disease 2019 (COVID-19) pandemic has caused more than 675 million confirmed cases and nearly 7 million deaths worldwide [1]. While testing for COVID-19 was initially centered in health care facilities, with required reporting to health departments, it is increasingly being performed in the home with rapid antigen testing [2]. Most at-home tests are self-interpreted and not reported to a provider or health department, which could lead to delayed reporting or underreporting of cases [3]. As such, there is a strong possibility that reported cases may become a less reliable indicator of transmission over time. Oxford University Press 2023-05-21 /pmc/articles/PMC10270561/ /pubmed/37333721 http://dx.doi.org/10.1093/ofid/ofad281 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Brief Report
Kaul, Christina M
Cohen, Gabriel M
Silverstein, Matthew
Wallach, Andrew B
Diago-Navarro, Elizabeth
Holzman, Robert S
Foote, Mary K
Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study
title Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study
title_full Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study
title_fullStr Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study
title_full_unstemmed Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study
title_short Understanding the Relationship Between Antiviral Prescription Data and COVID-19 Incidence in New York City: A Retrospective Cohort Study
title_sort understanding the relationship between antiviral prescription data and covid-19 incidence in new york city: a retrospective cohort study
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270561/
https://www.ncbi.nlm.nih.gov/pubmed/37333721
http://dx.doi.org/10.1093/ofid/ofad281
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