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Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection

Coronavirus disease 2019 (COVID-19) has emerged as a potentially severe disease, especially for individuals presenting with certain underlying medical conditions. We analyzed the rates of comorbidities and symptoms to reveal the potential severity of the pandemic in Volos, one of the most air-pollut...

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Autores principales: Mouliou, Dimitra S., Kotsiou, Ourania S., Gourgoulianis, Konstantinos I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392732/
https://www.ncbi.nlm.nih.gov/pubmed/34444450
http://dx.doi.org/10.3390/ijerph18168701
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author Mouliou, Dimitra S.
Kotsiou, Ourania S.
Gourgoulianis, Konstantinos I.
author_facet Mouliou, Dimitra S.
Kotsiou, Ourania S.
Gourgoulianis, Konstantinos I.
author_sort Mouliou, Dimitra S.
collection PubMed
description Coronavirus disease 2019 (COVID-19) has emerged as a potentially severe disease, especially for individuals presenting with certain underlying medical conditions. We analyzed the rates of comorbidities and symptoms to reveal the potential severity of the pandemic in Volos, one of the most air-polluted cities in Greece. Environmental and health-related predictors for SARS-CoV-2 infection were investigated. A web-based questionnaire was disseminated through social media in the first half of March 2021 during a five-month strict lockdown. Sociodemographic data, preexisting medical conditions, frequency of clinical symptoms, and COVID-19 information were recorded. The study population consisted of 2000 responders. Four-fifths of the participants reported comorbidities that could increase vulnerability to severe COVID-19. Respiratory symptoms were reported from the unemployed and from retirees, and cold-related symptoms were reported in the education sector and in undergraduates. Women and younger generations shaped social vulnerability to respiratory infections similar to the elderly. SARS-CoV-2 infection was reported in 3.7% of the study population. Common headache (OR 2; CI 1189–3013; p = 0.007) and prior pneumonia (OR 1.9; CI 1024–2898; p = 0.04) were significant predictors for susceptibility to SARS-CoV-2 infection. The importance of monitoring society through community-based questionnaires is highlighted, for predicting and preventing future widespread transmission of infectious diseases.
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spelling pubmed-83927322021-08-28 Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection Mouliou, Dimitra S. Kotsiou, Ourania S. Gourgoulianis, Konstantinos I. Int J Environ Res Public Health Article Coronavirus disease 2019 (COVID-19) has emerged as a potentially severe disease, especially for individuals presenting with certain underlying medical conditions. We analyzed the rates of comorbidities and symptoms to reveal the potential severity of the pandemic in Volos, one of the most air-polluted cities in Greece. Environmental and health-related predictors for SARS-CoV-2 infection were investigated. A web-based questionnaire was disseminated through social media in the first half of March 2021 during a five-month strict lockdown. Sociodemographic data, preexisting medical conditions, frequency of clinical symptoms, and COVID-19 information were recorded. The study population consisted of 2000 responders. Four-fifths of the participants reported comorbidities that could increase vulnerability to severe COVID-19. Respiratory symptoms were reported from the unemployed and from retirees, and cold-related symptoms were reported in the education sector and in undergraduates. Women and younger generations shaped social vulnerability to respiratory infections similar to the elderly. SARS-CoV-2 infection was reported in 3.7% of the study population. Common headache (OR 2; CI 1189–3013; p = 0.007) and prior pneumonia (OR 1.9; CI 1024–2898; p = 0.04) were significant predictors for susceptibility to SARS-CoV-2 infection. The importance of monitoring society through community-based questionnaires is highlighted, for predicting and preventing future widespread transmission of infectious diseases. MDPI 2021-08-18 /pmc/articles/PMC8392732/ /pubmed/34444450 http://dx.doi.org/10.3390/ijerph18168701 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mouliou, Dimitra S.
Kotsiou, Ourania S.
Gourgoulianis, Konstantinos I.
Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection
title Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection
title_full Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection
title_fullStr Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection
title_full_unstemmed Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection
title_short Estimates of COVID-19 Risk Factors among Social Strata and Predictors for a Vulnerability to the Infection
title_sort estimates of covid-19 risk factors among social strata and predictors for a vulnerability to the infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392732/
https://www.ncbi.nlm.nih.gov/pubmed/34444450
http://dx.doi.org/10.3390/ijerph18168701
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