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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7239241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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