Cargando…

Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2

On January 30, 2020, the World Health Organization (WHO) declared SARS-CoV-2 a global pandemic, based on a high infection rate and a high case fatality rate (CFR). The combination of these two points led WHO to forecast a high expected mortality rate of approximately 2% of the population. The phenom...

Descripción completa

Detalles Bibliográficos
Autor principal: Shaki, Yair Y
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455007/
https://www.ncbi.nlm.nih.gov/pubmed/33884941
http://dx.doi.org/10.1177/00368504211009673
_version_ 1785096345832390656
author Shaki, Yair Y
author_facet Shaki, Yair Y
author_sort Shaki, Yair Y
collection PubMed
description On January 30, 2020, the World Health Organization (WHO) declared SARS-CoV-2 a global pandemic, based on a high infection rate and a high case fatality rate (CFR). The combination of these two points led WHO to forecast a high expected mortality rate of approximately 2% of the population. The phenomenon of Simpson’s paradox teaches us that we should be careful when we combine two variables together. Indeed, despite the high mortality rate in several places, this forecast seems to have collapsed. We believe one of the reasons for the erroneous forecasts is that combining the above points ignored a confounding variable – many of the virus carriers are asymptomatic and therefore not diagnosed.
format Online
Article
Text
id pubmed-10455007
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-104550072023-08-26 Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2 Shaki, Yair Y Sci Prog Letter to the Editor On January 30, 2020, the World Health Organization (WHO) declared SARS-CoV-2 a global pandemic, based on a high infection rate and a high case fatality rate (CFR). The combination of these two points led WHO to forecast a high expected mortality rate of approximately 2% of the population. The phenomenon of Simpson’s paradox teaches us that we should be careful when we combine two variables together. Indeed, despite the high mortality rate in several places, this forecast seems to have collapsed. We believe one of the reasons for the erroneous forecasts is that combining the above points ignored a confounding variable – many of the virus carriers are asymptomatic and therefore not diagnosed. SAGE Publications 2021-04-22 /pmc/articles/PMC10455007/ /pubmed/33884941 http://dx.doi.org/10.1177/00368504211009673 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Letter to the Editor
Shaki, Yair Y
Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
title Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
title_full Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
title_fullStr Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
title_full_unstemmed Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
title_short Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
title_sort quasi-simpson paradox in estimating the expected mortality rate from the sars-cov-2
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455007/
https://www.ncbi.nlm.nih.gov/pubmed/33884941
http://dx.doi.org/10.1177/00368504211009673
work_keys_str_mv AT shakiyairy quasisimpsonparadoxinestimatingtheexpectedmortalityratefromthesarscov2