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Undersampling in action and at scale: application to the COVID-19 pandemic
It is the purpose of this short communication to analyze the possible caveats in the statistical interpretation of collected data, particularly in the light of decision-making concerning the current COVID-19 coronavirus pandemic. A mitigation of undersampling is proposed, based on re-scaling of stat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265167/ https://www.ncbi.nlm.nih.gov/pubmed/32837310 http://dx.doi.org/10.1007/s00477-020-01821-0 |
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author | Langousis, Andreas Carsteanu, Alin Andrei |
author_facet | Langousis, Andreas Carsteanu, Alin Andrei |
author_sort | Langousis, Andreas |
collection | PubMed |
description | It is the purpose of this short communication to analyze the possible caveats in the statistical interpretation of collected data, particularly in the light of decision-making concerning the current COVID-19 coronavirus pandemic. A mitigation of undersampling is proposed, based on re-scaling of statistics that can be considered reliable, such as deaths, and epidemic properties like mortality, that may be considered comparable between countries with similar levels of health care, which would not have reached a saturation level. |
format | Online Article Text |
id | pubmed-7265167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-72651672020-06-02 Undersampling in action and at scale: application to the COVID-19 pandemic Langousis, Andreas Carsteanu, Alin Andrei Stoch Environ Res Risk Assess Short Communication It is the purpose of this short communication to analyze the possible caveats in the statistical interpretation of collected data, particularly in the light of decision-making concerning the current COVID-19 coronavirus pandemic. A mitigation of undersampling is proposed, based on re-scaling of statistics that can be considered reliable, such as deaths, and epidemic properties like mortality, that may be considered comparable between countries with similar levels of health care, which would not have reached a saturation level. Springer Berlin Heidelberg 2020-06-02 2020 /pmc/articles/PMC7265167/ /pubmed/32837310 http://dx.doi.org/10.1007/s00477-020-01821-0 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Short Communication Langousis, Andreas Carsteanu, Alin Andrei Undersampling in action and at scale: application to the COVID-19 pandemic |
title | Undersampling in action and at scale: application to the COVID-19 pandemic |
title_full | Undersampling in action and at scale: application to the COVID-19 pandemic |
title_fullStr | Undersampling in action and at scale: application to the COVID-19 pandemic |
title_full_unstemmed | Undersampling in action and at scale: application to the COVID-19 pandemic |
title_short | Undersampling in action and at scale: application to the COVID-19 pandemic |
title_sort | undersampling in action and at scale: application to the covid-19 pandemic |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265167/ https://www.ncbi.nlm.nih.gov/pubmed/32837310 http://dx.doi.org/10.1007/s00477-020-01821-0 |
work_keys_str_mv | AT langousisandreas undersamplinginactionandatscaleapplicationtothecovid19pandemic AT carsteanualinandrei undersamplinginactionandatscaleapplicationtothecovid19pandemic |