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Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study
BACKGROUND: Since the first recognition of the pandemic characteristics of SARS-CoV-2 infection, and before substantial case fatality data were available worldwide, public health agencies warned the public about the increased dangers of SARS-CoV-2 to persons with a variety of underlying physical con...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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JMIR Publications
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404263/ https://www.ncbi.nlm.nih.gov/pubmed/34547061 http://dx.doi.org/10.2196/28843 |
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author | Barletta, William Alphonse |
author_facet | Barletta, William Alphonse |
author_sort | Barletta, William Alphonse |
collection | PubMed |
description | BACKGROUND: Since the first recognition of the pandemic characteristics of SARS-CoV-2 infection, and before substantial case fatality data were available worldwide, public health agencies warned the public about the increased dangers of SARS-CoV-2 to persons with a variety of underlying physical conditions, many of which are more commonly found in persons over 50 years of age or in certain ethnic groups. OBJECTIVE: To investigate the statistical rather than the physiological basis in support of the abovementioned warnings, this study examines correlations globally on a nation-by-nation basis between the statistical data concerning COVID-19 fatalities and the statistics of potential comorbidities that may influence the severity of infection. METHODS: This study considers the statistics describing the populations of the 99 countries with the greatest numbers of SARS-CoV-2 infections at the time of the data cutoff. As national compilations of direct measures of immune system strength are not publicly available, the frequency of fatalities in those countries due to a variety of serious diseases is used as a proxy for the susceptibility of those populations to those same diseases. RESULTS: The analysis produces plots and calculations of correlations and cross-correlations of COVID-19 case fatality rates and the risks of other potential cofactors. It exposes some reasons that may underlie the degree to which advanced age increases the risk of mortality of infection with SARS-CoV-2. In contrast with the strong influences of comorbidities on the seriousness of consequences of influenzas and their associated pneumonias, the correlations of the same set of risk factors with SARS-CoV-2 infection are considerably weaker. The general characteristics of the observed correlations strengthened through 3 cycles of analysis, starting in September 2020. The strongest correlations were with chronic kidney disease and coronary disease (approximately 0.28 and 0.20, respectively). CONCLUSIONS: This study confirms early clinical observations that infection with SARS-CoV-2 presents an increased risk to persons over the age of 65 years. It does not support the suggestions presented by government agencies early in the pandemic that the risks are much greater for persons with certain common potential comorbidities. |
format | Online Article Text |
id | pubmed-8404263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-84042632021-09-14 Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study Barletta, William Alphonse JMIRx Med Original Paper BACKGROUND: Since the first recognition of the pandemic characteristics of SARS-CoV-2 infection, and before substantial case fatality data were available worldwide, public health agencies warned the public about the increased dangers of SARS-CoV-2 to persons with a variety of underlying physical conditions, many of which are more commonly found in persons over 50 years of age or in certain ethnic groups. OBJECTIVE: To investigate the statistical rather than the physiological basis in support of the abovementioned warnings, this study examines correlations globally on a nation-by-nation basis between the statistical data concerning COVID-19 fatalities and the statistics of potential comorbidities that may influence the severity of infection. METHODS: This study considers the statistics describing the populations of the 99 countries with the greatest numbers of SARS-CoV-2 infections at the time of the data cutoff. As national compilations of direct measures of immune system strength are not publicly available, the frequency of fatalities in those countries due to a variety of serious diseases is used as a proxy for the susceptibility of those populations to those same diseases. RESULTS: The analysis produces plots and calculations of correlations and cross-correlations of COVID-19 case fatality rates and the risks of other potential cofactors. It exposes some reasons that may underlie the degree to which advanced age increases the risk of mortality of infection with SARS-CoV-2. In contrast with the strong influences of comorbidities on the seriousness of consequences of influenzas and their associated pneumonias, the correlations of the same set of risk factors with SARS-CoV-2 infection are considerably weaker. The general characteristics of the observed correlations strengthened through 3 cycles of analysis, starting in September 2020. The strongest correlations were with chronic kidney disease and coronary disease (approximately 0.28 and 0.20, respectively). CONCLUSIONS: This study confirms early clinical observations that infection with SARS-CoV-2 presents an increased risk to persons over the age of 65 years. It does not support the suggestions presented by government agencies early in the pandemic that the risks are much greater for persons with certain common potential comorbidities. JMIR Publications 2021-08-26 /pmc/articles/PMC8404263/ /pubmed/34547061 http://dx.doi.org/10.2196/28843 Text en ©William Alphonse Barletta. Originally published in JMIRx Med (https://med.jmirx.org), 26.08.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Barletta, William Alphonse Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study |
title | Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study |
title_full | Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study |
title_fullStr | Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study |
title_full_unstemmed | Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study |
title_short | Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study |
title_sort | risk factors of sars-cov-2 infection: global epidemiological study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404263/ https://www.ncbi.nlm.nih.gov/pubmed/34547061 http://dx.doi.org/10.2196/28843 |
work_keys_str_mv | AT barlettawilliamalphonse riskfactorsofsarscov2infectionglobalepidemiologicalstudy |