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COVID 19 mortality: Probable role of microbiome to explain disparity

There is a significant difference between COVID 19 associated mortality between different countries. Generally the number of deaths per million population are higher in the developed countries despite better health care efficiency, drinking water quality and expected healthy life span (HALE) at the...

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Autores principales: Kumar, Parveen, Chander, Bal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444648/
https://www.ncbi.nlm.nih.gov/pubmed/33254516
http://dx.doi.org/10.1016/j.mehy.2020.110209
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author Kumar, Parveen
Chander, Bal
author_facet Kumar, Parveen
Chander, Bal
author_sort Kumar, Parveen
collection PubMed
description There is a significant difference between COVID 19 associated mortality between different countries. Generally the number of deaths per million population are higher in the developed countries despite better health care efficiency, drinking water quality and expected healthy life span (HALE) at the time of birth. Developing and underdeveloped countries on the other hand have lower mortality even with higher rural and slum populations along with incidence of diarrhea because of lack of sanitation. We analyzed data from 122 countries out of which 80 were high or upper middle income and 42 were low or low middle income countries. There was statistically significant positive correlation between COVID 19 deaths /million population and water current score, health efficiency, and HALE. Statistically significant negative correlation was observed with % rural population and fraction of diarrhea because of inadequate sanitation for all ages. Moreover analysis of 51 countries showed that there is significant negative correlation between COVID 19 deaths /million population and proportion of total population living in slums. We propose that high microbial exposure particularly gram negative bacteria can possibly induce interferon type I which might have a protective effect against COVID 19 since the countries with less mortality also tend to have lack of sanitation and high incidence of attendant diseases. So, far none of the predictive models have taken into account immune status of populations engendered by environmental microbial exposure or microbiome. There might be a need to look at dynamics of COVID 19 pandemic using immune perspective. The approach can potentially inform better policies including interventions.
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spelling pubmed-74446482020-08-26 COVID 19 mortality: Probable role of microbiome to explain disparity Kumar, Parveen Chander, Bal Med Hypotheses Article There is a significant difference between COVID 19 associated mortality between different countries. Generally the number of deaths per million population are higher in the developed countries despite better health care efficiency, drinking water quality and expected healthy life span (HALE) at the time of birth. Developing and underdeveloped countries on the other hand have lower mortality even with higher rural and slum populations along with incidence of diarrhea because of lack of sanitation. We analyzed data from 122 countries out of which 80 were high or upper middle income and 42 were low or low middle income countries. There was statistically significant positive correlation between COVID 19 deaths /million population and water current score, health efficiency, and HALE. Statistically significant negative correlation was observed with % rural population and fraction of diarrhea because of inadequate sanitation for all ages. Moreover analysis of 51 countries showed that there is significant negative correlation between COVID 19 deaths /million population and proportion of total population living in slums. We propose that high microbial exposure particularly gram negative bacteria can possibly induce interferon type I which might have a protective effect against COVID 19 since the countries with less mortality also tend to have lack of sanitation and high incidence of attendant diseases. So, far none of the predictive models have taken into account immune status of populations engendered by environmental microbial exposure or microbiome. There might be a need to look at dynamics of COVID 19 pandemic using immune perspective. The approach can potentially inform better policies including interventions. Elsevier Ltd. 2020-11 2020-08-24 /pmc/articles/PMC7444648/ /pubmed/33254516 http://dx.doi.org/10.1016/j.mehy.2020.110209 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Kumar, Parveen
Chander, Bal
COVID 19 mortality: Probable role of microbiome to explain disparity
title COVID 19 mortality: Probable role of microbiome to explain disparity
title_full COVID 19 mortality: Probable role of microbiome to explain disparity
title_fullStr COVID 19 mortality: Probable role of microbiome to explain disparity
title_full_unstemmed COVID 19 mortality: Probable role of microbiome to explain disparity
title_short COVID 19 mortality: Probable role of microbiome to explain disparity
title_sort covid 19 mortality: probable role of microbiome to explain disparity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444648/
https://www.ncbi.nlm.nih.gov/pubmed/33254516
http://dx.doi.org/10.1016/j.mehy.2020.110209
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