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Missing science: A scoping study of COVID-19 epidemiological data in the United States

Systematic approaches to epidemiologic data collection are critical for informing pandemic responses, providing information for the targeting and timing of mitigations, for judging the efficacy and efficiency of alternative response strategies, and for conducting real-world impact assessments. Here,...

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Detalles Bibliográficos
Autores principales: Bhatia, Rajiv, Sledge, Isabella, Baral, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555641/
https://www.ncbi.nlm.nih.gov/pubmed/36223335
http://dx.doi.org/10.1371/journal.pone.0248793
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author Bhatia, Rajiv
Sledge, Isabella
Baral, Stefan
author_facet Bhatia, Rajiv
Sledge, Isabella
Baral, Stefan
author_sort Bhatia, Rajiv
collection PubMed
description Systematic approaches to epidemiologic data collection are critical for informing pandemic responses, providing information for the targeting and timing of mitigations, for judging the efficacy and efficiency of alternative response strategies, and for conducting real-world impact assessments. Here, we report on a scoping study to assess the completeness of epidemiological data available for COVID-19 pandemic management in the United States, enumerating authoritative US government estimates of parameters of infectious transmission, infection severity, and disease burden and characterizing the extent and scope of US public health affiliated epidemiological investigations published through November 2021. While we found authoritative estimates for most expected transmission and disease severity parameters, some were lacking, and others had significant uncertainties. Moreover, most transmission parameters were not validated domestically or re-assessed over the course of the pandemic. Publicly available disease surveillance measures did grow appreciably in scope and resolution over time; however, their resolution with regards to specific populations and exposure settings remained limited. We identified 283 published epidemiological reports authored by investigators affiliated with U.S. governmental public health entities. Most reported on descriptive studies. Published analytic studies did not appear to fully respond to knowledge gaps or to provide systematic evidence to support, evaluate or tailor community mitigation strategies. The existence of epidemiological data gaps 18 months after the declaration of the COVID-19 pandemic underscores the need for more timely standardization of data collection practices and for anticipatory research priorities and protocols for emerging infectious disease epidemics.
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spelling pubmed-95556412022-10-13 Missing science: A scoping study of COVID-19 epidemiological data in the United States Bhatia, Rajiv Sledge, Isabella Baral, Stefan PLoS One Research Article Systematic approaches to epidemiologic data collection are critical for informing pandemic responses, providing information for the targeting and timing of mitigations, for judging the efficacy and efficiency of alternative response strategies, and for conducting real-world impact assessments. Here, we report on a scoping study to assess the completeness of epidemiological data available for COVID-19 pandemic management in the United States, enumerating authoritative US government estimates of parameters of infectious transmission, infection severity, and disease burden and characterizing the extent and scope of US public health affiliated epidemiological investigations published through November 2021. While we found authoritative estimates for most expected transmission and disease severity parameters, some were lacking, and others had significant uncertainties. Moreover, most transmission parameters were not validated domestically or re-assessed over the course of the pandemic. Publicly available disease surveillance measures did grow appreciably in scope and resolution over time; however, their resolution with regards to specific populations and exposure settings remained limited. We identified 283 published epidemiological reports authored by investigators affiliated with U.S. governmental public health entities. Most reported on descriptive studies. Published analytic studies did not appear to fully respond to knowledge gaps or to provide systematic evidence to support, evaluate or tailor community mitigation strategies. The existence of epidemiological data gaps 18 months after the declaration of the COVID-19 pandemic underscores the need for more timely standardization of data collection practices and for anticipatory research priorities and protocols for emerging infectious disease epidemics. Public Library of Science 2022-10-12 /pmc/articles/PMC9555641/ /pubmed/36223335 http://dx.doi.org/10.1371/journal.pone.0248793 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Bhatia, Rajiv
Sledge, Isabella
Baral, Stefan
Missing science: A scoping study of COVID-19 epidemiological data in the United States
title Missing science: A scoping study of COVID-19 epidemiological data in the United States
title_full Missing science: A scoping study of COVID-19 epidemiological data in the United States
title_fullStr Missing science: A scoping study of COVID-19 epidemiological data in the United States
title_full_unstemmed Missing science: A scoping study of COVID-19 epidemiological data in the United States
title_short Missing science: A scoping study of COVID-19 epidemiological data in the United States
title_sort missing science: a scoping study of covid-19 epidemiological data in the united states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555641/
https://www.ncbi.nlm.nih.gov/pubmed/36223335
http://dx.doi.org/10.1371/journal.pone.0248793
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