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A cross-country database of COVID-19 testing
Our understanding of the evolution of the COVID-19 pandemic is built upon data concerning confirmed cases and deaths. This data, however, can only be meaningfully interpreted alongside an accurate understanding of the extent of virus testing in different countries. This new database brings together...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545176/ https://www.ncbi.nlm.nih.gov/pubmed/33033256 http://dx.doi.org/10.1038/s41597-020-00688-8 |
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author | Hasell, Joe Mathieu, Edouard Beltekian, Diana Macdonald, Bobbie Giattino, Charlie Ortiz-Ospina, Esteban Roser, Max Ritchie, Hannah |
author_facet | Hasell, Joe Mathieu, Edouard Beltekian, Diana Macdonald, Bobbie Giattino, Charlie Ortiz-Ospina, Esteban Roser, Max Ritchie, Hannah |
author_sort | Hasell, Joe |
collection | PubMed |
description | Our understanding of the evolution of the COVID-19 pandemic is built upon data concerning confirmed cases and deaths. This data, however, can only be meaningfully interpreted alongside an accurate understanding of the extent of virus testing in different countries. This new database brings together official data on the extent of PCR testing over time for 94 countries. We provide a time series for the daily number of tests performed, or people tested, together with metadata describing data quality and comparability issues needed for the interpretation of the time series. The database is updated regularly through a combination of automated scraping and manual collection and verification, and is entirely replicable, with sources provided for each observation. In providing accessible cross-country data on testing output, it aims to facilitate the incorporation of this crucial information into epidemiological studies, as well as track a key component of countries’ responses to COVID-19. |
format | Online Article Text |
id | pubmed-7545176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75451762020-10-19 A cross-country database of COVID-19 testing Hasell, Joe Mathieu, Edouard Beltekian, Diana Macdonald, Bobbie Giattino, Charlie Ortiz-Ospina, Esteban Roser, Max Ritchie, Hannah Sci Data Data Descriptor Our understanding of the evolution of the COVID-19 pandemic is built upon data concerning confirmed cases and deaths. This data, however, can only be meaningfully interpreted alongside an accurate understanding of the extent of virus testing in different countries. This new database brings together official data on the extent of PCR testing over time for 94 countries. We provide a time series for the daily number of tests performed, or people tested, together with metadata describing data quality and comparability issues needed for the interpretation of the time series. The database is updated regularly through a combination of automated scraping and manual collection and verification, and is entirely replicable, with sources provided for each observation. In providing accessible cross-country data on testing output, it aims to facilitate the incorporation of this crucial information into epidemiological studies, as well as track a key component of countries’ responses to COVID-19. Nature Publishing Group UK 2020-10-08 /pmc/articles/PMC7545176/ /pubmed/33033256 http://dx.doi.org/10.1038/s41597-020-00688-8 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Hasell, Joe Mathieu, Edouard Beltekian, Diana Macdonald, Bobbie Giattino, Charlie Ortiz-Ospina, Esteban Roser, Max Ritchie, Hannah A cross-country database of COVID-19 testing |
title | A cross-country database of COVID-19 testing |
title_full | A cross-country database of COVID-19 testing |
title_fullStr | A cross-country database of COVID-19 testing |
title_full_unstemmed | A cross-country database of COVID-19 testing |
title_short | A cross-country database of COVID-19 testing |
title_sort | cross-country database of covid-19 testing |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545176/ https://www.ncbi.nlm.nih.gov/pubmed/33033256 http://dx.doi.org/10.1038/s41597-020-00688-8 |
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