Limitations of COVID-19 testing and case data for evidence-informed health policy and practice

BACKGROUND: Coronavirus disease 2019 (COVID-19) became a pandemic within a matter of months. Analysing the first year of the pandemic, data and surveillance gaps have subsequently surfaced. Yet, policy decisions and public trust in their country’s strategies in combating COVID-19 rely on case number...

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Autores principales: Alvarez, Elizabeth, Bielska, Iwona A., Hopkins, Stephanie, Belal, Ahmed A., Goldstein, Donna M., Slick, Jean, Pavalagantharajah, Sureka, Wynfield, Anna, Dakey, Shruthi, Gedeon, Marie-Carmel, Alam, Edris, Bouzanis, Katrina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876649/
https://www.ncbi.nlm.nih.gov/pubmed/36698202
http://dx.doi.org/10.1186/s12961-023-00963-1
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author Alvarez, Elizabeth
Bielska, Iwona A.
Hopkins, Stephanie
Belal, Ahmed A.
Goldstein, Donna M.
Slick, Jean
Pavalagantharajah, Sureka
Wynfield, Anna
Dakey, Shruthi
Gedeon, Marie-Carmel
Alam, Edris
Bouzanis, Katrina
author_facet Alvarez, Elizabeth
Bielska, Iwona A.
Hopkins, Stephanie
Belal, Ahmed A.
Goldstein, Donna M.
Slick, Jean
Pavalagantharajah, Sureka
Wynfield, Anna
Dakey, Shruthi
Gedeon, Marie-Carmel
Alam, Edris
Bouzanis, Katrina
author_sort Alvarez, Elizabeth
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) became a pandemic within a matter of months. Analysing the first year of the pandemic, data and surveillance gaps have subsequently surfaced. Yet, policy decisions and public trust in their country’s strategies in combating COVID-19 rely on case numbers, death numbers and other unfamiliar metrics. There are many limitations on COVID-19 case counts internationally, which make cross-country comparisons of raw data and policy responses difficult. PURPOSE AND CONCLUSIONS: This paper presents and describes steps in the testing and reporting process, with examples from a number of countries of barriers encountered in each step, all of which create an undercount of COVID-19 cases. This work raises factors to consider in COVID-19 data and provides recommendations to inform the current situation with COVID-19 as well as issues to be aware of in future pandemics.
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spelling pubmed-98766492023-01-26 Limitations of COVID-19 testing and case data for evidence-informed health policy and practice Alvarez, Elizabeth Bielska, Iwona A. Hopkins, Stephanie Belal, Ahmed A. Goldstein, Donna M. Slick, Jean Pavalagantharajah, Sureka Wynfield, Anna Dakey, Shruthi Gedeon, Marie-Carmel Alam, Edris Bouzanis, Katrina Health Res Policy Syst Review BACKGROUND: Coronavirus disease 2019 (COVID-19) became a pandemic within a matter of months. Analysing the first year of the pandemic, data and surveillance gaps have subsequently surfaced. Yet, policy decisions and public trust in their country’s strategies in combating COVID-19 rely on case numbers, death numbers and other unfamiliar metrics. There are many limitations on COVID-19 case counts internationally, which make cross-country comparisons of raw data and policy responses difficult. PURPOSE AND CONCLUSIONS: This paper presents and describes steps in the testing and reporting process, with examples from a number of countries of barriers encountered in each step, all of which create an undercount of COVID-19 cases. This work raises factors to consider in COVID-19 data and provides recommendations to inform the current situation with COVID-19 as well as issues to be aware of in future pandemics. BioMed Central 2023-01-25 /pmc/articles/PMC9876649/ /pubmed/36698202 http://dx.doi.org/10.1186/s12961-023-00963-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Alvarez, Elizabeth
Bielska, Iwona A.
Hopkins, Stephanie
Belal, Ahmed A.
Goldstein, Donna M.
Slick, Jean
Pavalagantharajah, Sureka
Wynfield, Anna
Dakey, Shruthi
Gedeon, Marie-Carmel
Alam, Edris
Bouzanis, Katrina
Limitations of COVID-19 testing and case data for evidence-informed health policy and practice
title Limitations of COVID-19 testing and case data for evidence-informed health policy and practice
title_full Limitations of COVID-19 testing and case data for evidence-informed health policy and practice
title_fullStr Limitations of COVID-19 testing and case data for evidence-informed health policy and practice
title_full_unstemmed Limitations of COVID-19 testing and case data for evidence-informed health policy and practice
title_short Limitations of COVID-19 testing and case data for evidence-informed health policy and practice
title_sort limitations of covid-19 testing and case data for evidence-informed health policy and practice
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876649/
https://www.ncbi.nlm.nih.gov/pubmed/36698202
http://dx.doi.org/10.1186/s12961-023-00963-1
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