Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783591290880917504 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7540851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT szigetireka bcgepidemiologysupportsitsprotectionagainstcovid19awordofcaution AT kellermayerdomos bcgepidemiologysupportsitsprotectionagainstcovid19awordofcaution AT trakimasgiedrius bcgepidemiologysupportsitsprotectionagainstcovid19awordofcaution AT kellermayerrichard bcgepidemiologysupportsitsprotectionagainstcovid19awordofcaution |