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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2021
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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 |
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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 |