Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
- PMID: 33884941
- PMCID: PMC10455007
- DOI: 10.1177/00368504211009673
Quasi-Simpson paradox in estimating the expected mortality rate from the SARS-CoV-2
Abstract
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.
Keywords: SARS-CoV-2; Simpson’s paradox; asymptomatic.
Conflict of interest statement
The author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Comment on
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Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Los Angeles County, California, on April 10-11, 2020.JAMA. 2020 Jun 16;323(23):2425-2427. doi: 10.1001/jama.2020.8279. JAMA. 2020. PMID: 32421144 Free PMC article.
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- World Health Organization. International guidelines for certification and classification (coding) of COVID-19 as cause of death, https://www.who.int/classifications/icd/Guidelines_Cause_of_Death_COVID-... (accessed 20 April 2020).
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- Centers for Disease Control and Prevention. Weekly updates by select demographic and geographic characteristics, https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm (accessed 30 January 2020).
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