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BCG epidemiology supports its protection against COVID-19? A word of caution

The COVID-19 pandemic, caused by type 2 Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2), puts all of us to the test. Epidemiologic observations could critically aid the development of protective measures to combat this devastating viral outbreak. Recent observations, linked nation based u...

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Autores principales: Szigeti, Reka, Kellermayer, Domos, Trakimas, Giedrius, Kellermayer, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540851/
https://www.ncbi.nlm.nih.gov/pubmed/33027297
http://dx.doi.org/10.1371/journal.pone.0240203
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author Szigeti, Reka
Kellermayer, Domos
Trakimas, Giedrius
Kellermayer, Richard
author_facet Szigeti, Reka
Kellermayer, Domos
Trakimas, Giedrius
Kellermayer, Richard
author_sort Szigeti, Reka
collection PubMed
description The COVID-19 pandemic, caused by type 2 Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2), puts all of us to the test. Epidemiologic observations could critically aid the development of protective measures to combat this devastating viral outbreak. Recent observations, linked nation based universal Bacillus Calmette-Guerin (BCG) vaccination to potential protection against morbidity and mortality from SARS-CoV-2, and received much attention in public media. We wished to validate the findings by examining the country based association between COVID-19 mortality per million population, or daily rates of COVID-19 case fatality (i.e. Death Per Case/Days of the endemic [dpc/d]) and the presence of universal BCG vaccination before 1980, or the year of the establishment of universal BCG vaccination. These associations were examined in multiple regression modeling based on publicly available databases on both April 3(rd) and May 15(th) of 2020. COVID-19 deaths per million negatively associated with universal BCG vaccination in a country before 1980 based on May 15(th) data, but this was not true for COVID-19 dpc/d on either of days of inquiry. We also demonstrate possible arbitrary selection bias in such analyses. Consequently, caution should be exercised amidst the publication surge on COVID-19, due to political/economical-, arbitrary selection-, and fear/anxiety related biases, which may obscure scientific rigor. We argue that global COVID-19 epidemiologic data is unreliable and therefore should be critically scrutinized before using it as a nidus for subsequent hypothesis driven scientific discovery.
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spelling pubmed-75408512020-10-19 BCG epidemiology supports its protection against COVID-19? A word of caution Szigeti, Reka Kellermayer, Domos Trakimas, Giedrius Kellermayer, Richard PLoS One Research Article The COVID-19 pandemic, caused by type 2 Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2), puts all of us to the test. Epidemiologic observations could critically aid the development of protective measures to combat this devastating viral outbreak. Recent observations, linked nation based universal Bacillus Calmette-Guerin (BCG) vaccination to potential protection against morbidity and mortality from SARS-CoV-2, and received much attention in public media. We wished to validate the findings by examining the country based association between COVID-19 mortality per million population, or daily rates of COVID-19 case fatality (i.e. Death Per Case/Days of the endemic [dpc/d]) and the presence of universal BCG vaccination before 1980, or the year of the establishment of universal BCG vaccination. These associations were examined in multiple regression modeling based on publicly available databases on both April 3(rd) and May 15(th) of 2020. COVID-19 deaths per million negatively associated with universal BCG vaccination in a country before 1980 based on May 15(th) data, but this was not true for COVID-19 dpc/d on either of days of inquiry. We also demonstrate possible arbitrary selection bias in such analyses. Consequently, caution should be exercised amidst the publication surge on COVID-19, due to political/economical-, arbitrary selection-, and fear/anxiety related biases, which may obscure scientific rigor. We argue that global COVID-19 epidemiologic data is unreliable and therefore should be critically scrutinized before using it as a nidus for subsequent hypothesis driven scientific discovery. Public Library of Science 2020-10-07 /pmc/articles/PMC7540851/ /pubmed/33027297 http://dx.doi.org/10.1371/journal.pone.0240203 Text en © 2020 Szigeti et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Szigeti, Reka
Kellermayer, Domos
Trakimas, Giedrius
Kellermayer, Richard
BCG epidemiology supports its protection against COVID-19? A word of caution
title BCG epidemiology supports its protection against COVID-19? A word of caution
title_full BCG epidemiology supports its protection against COVID-19? A word of caution
title_fullStr BCG epidemiology supports its protection against COVID-19? A word of caution
title_full_unstemmed BCG epidemiology supports its protection against COVID-19? A word of caution
title_short BCG epidemiology supports its protection against COVID-19? A word of caution
title_sort bcg epidemiology supports its protection against covid-19? a word of caution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540851/
https://www.ncbi.nlm.nih.gov/pubmed/33027297
http://dx.doi.org/10.1371/journal.pone.0240203
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