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Unmasking the Actual COVID-19 Case Count

This report presents a novel approach to estimate the total number of COVID-19 cases in the United States, including undocumented infections, by combining the Centers for Disease Control and Prevention’s influenza-like illness surveillance data with aggregated prescription data. We estimated that th...

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Detalles Bibliográficos
Autores principales: Kou, Samuel C, Yang, Shihao, Chang, Chia-Jung, Ho, Teck-Hua, Graver, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239241/
https://www.ncbi.nlm.nih.gov/pubmed/32409818
http://dx.doi.org/10.1093/cid/ciaa580
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author Kou, Samuel C
Yang, Shihao
Chang, Chia-Jung
Ho, Teck-Hua
Graver, Lisa
author_facet Kou, Samuel C
Yang, Shihao
Chang, Chia-Jung
Ho, Teck-Hua
Graver, Lisa
author_sort Kou, Samuel C
collection PubMed
description This report presents a novel approach to estimate the total number of COVID-19 cases in the United States, including undocumented infections, by combining the Centers for Disease Control and Prevention’s influenza-like illness surveillance data with aggregated prescription data. We estimated that the cumulative number of COVID-19 cases in the United States by 4 April 2020 was > 2.5 million.
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spelling pubmed-72392412020-05-28 Unmasking the Actual COVID-19 Case Count Kou, Samuel C Yang, Shihao Chang, Chia-Jung Ho, Teck-Hua Graver, Lisa Clin Infect Dis Major Articles and Commentaries This report presents a novel approach to estimate the total number of COVID-19 cases in the United States, including undocumented infections, by combining the Centers for Disease Control and Prevention’s influenza-like illness surveillance data with aggregated prescription data. We estimated that the cumulative number of COVID-19 cases in the United States by 4 April 2020 was > 2.5 million. Oxford University Press 2020-05-15 /pmc/articles/PMC7239241/ /pubmed/32409818 http://dx.doi.org/10.1093/cid/ciaa580 Text en © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. http://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 (http://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 Major Articles and Commentaries
Kou, Samuel C
Yang, Shihao
Chang, Chia-Jung
Ho, Teck-Hua
Graver, Lisa
Unmasking the Actual COVID-19 Case Count
title Unmasking the Actual COVID-19 Case Count
title_full Unmasking the Actual COVID-19 Case Count
title_fullStr Unmasking the Actual COVID-19 Case Count
title_full_unstemmed Unmasking the Actual COVID-19 Case Count
title_short Unmasking the Actual COVID-19 Case Count
title_sort unmasking the actual covid-19 case count
topic Major Articles and Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239241/
https://www.ncbi.nlm.nih.gov/pubmed/32409818
http://dx.doi.org/10.1093/cid/ciaa580
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