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Common Pitfalls in the Interpretation of COVID-19 Data and Statistics
Policymakers, experts and the general public heavily rely on the data that are being reported in the context of the coronavirus pandemic. Daily data releases on confirmed COVID-19 cases and deaths provide information on the course of the pandemic.
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276107/ https://www.ncbi.nlm.nih.gov/pubmed/32536714 http://dx.doi.org/10.1007/s10272-020-0893-1 |
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author | Backhaus, Andreas |
author_facet | Backhaus, Andreas |
author_sort | Backhaus, Andreas |
collection | PubMed |
description | Policymakers, experts and the general public heavily rely on the data that are being reported in the context of the coronavirus pandemic. Daily data releases on confirmed COVID-19 cases and deaths provide information on the course of the pandemic. |
format | Online Article Text |
id | pubmed-7276107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-72761072020-06-08 Common Pitfalls in the Interpretation of COVID-19 Data and Statistics Backhaus, Andreas Inter Econ Forum Policymakers, experts and the general public heavily rely on the data that are being reported in the context of the coronavirus pandemic. Daily data releases on confirmed COVID-19 cases and deaths provide information on the course of the pandemic. Springer Berlin Heidelberg 2020-06-07 2020 /pmc/articles/PMC7276107/ /pubmed/32536714 http://dx.doi.org/10.1007/s10272-020-0893-1 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 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/. |
spellingShingle | Forum Backhaus, Andreas Common Pitfalls in the Interpretation of COVID-19 Data and Statistics |
title | Common Pitfalls in the Interpretation of COVID-19 Data and Statistics |
title_full | Common Pitfalls in the Interpretation of COVID-19 Data and Statistics |
title_fullStr | Common Pitfalls in the Interpretation of COVID-19 Data and Statistics |
title_full_unstemmed | Common Pitfalls in the Interpretation of COVID-19 Data and Statistics |
title_short | Common Pitfalls in the Interpretation of COVID-19 Data and Statistics |
title_sort | common pitfalls in the interpretation of covid-19 data and statistics |
topic | Forum |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276107/ https://www.ncbi.nlm.nih.gov/pubmed/32536714 http://dx.doi.org/10.1007/s10272-020-0893-1 |
work_keys_str_mv | AT backhausandreas commonpitfallsintheinterpretationofcovid19dataandstatistics |