An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People

The aim of this study was to investigate the prevalence of the clinical features of the SARS-CoV-2 infection in Romanian population through a novel online survey. The survey included categorical socio-demographic and health-related variables. A total of 1830 participants were selected for statistica...

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Main Authors: Constantin Ciucurel, Elena Ioana Iconaru
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/14/5082
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spelling doaj-55bbd56aa52046e8bf11da8e75197c0a2020-11-25T02:40:50ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012020-07-01175082508210.3390/ijerph17145082An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian PeopleConstantin Ciucurel0Elena Ioana Iconaru1Department of Medical Assistance and Physical Therapy, University of Pitesti, 110040 Pitesti, RomaniaDepartment of Medical Assistance and Physical Therapy, University of Pitesti, 110040 Pitesti, RomaniaThe aim of this study was to investigate the prevalence of the clinical features of the SARS-CoV-2 infection in Romanian population through a novel online survey. The survey included categorical socio-demographic and health-related variables. A total of 1830 participants were selected for statistical data processing (a response rate of 90.9%). We determined reasonable reliability of the survey section for clinical features of SARS-CoV-2 infection (Cronbach’s Alpha 0.671). Two meaningful dimensions were identified through CATPCA (Categorical Principal Component Analysis) for the survey’s items. We separated two significant clusters of items, each measuring a distinct factor: the sociodemographic characteristics linked to social distancing and the relevant clinical features of SARS-CoV-2 infection. Next, a two-step cluster analysis helped to classify the sample group taking into consideration the similarity of subjects. The clustering revealed a three-cluster solution, with significant differences between clusters and allowed the cluster detection of a group of individuals, possibly more affected by the infection with the SARS-CoV-2 virus. Through binomial logistic regression analysis, we identified a statistically significant prediction model for the presumptive diagnostic of some relevant clinical features of SARS-CoV-2 infection. Our study validated a cost-effective model for rapid assessment of the health status of subjects, adapted to the context of SARS-CoV-2 pandemic.https://www.mdpi.com/1660-4601/17/14/5082COVID-19prevalence studyonline surveyRomanian population
collection DOAJ
language English
format Article
sources DOAJ
author Constantin Ciucurel
Elena Ioana Iconaru
spellingShingle Constantin Ciucurel
Elena Ioana Iconaru
An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People
International Journal of Environmental Research and Public Health
COVID-19
prevalence study
online survey
Romanian population
author_facet Constantin Ciucurel
Elena Ioana Iconaru
author_sort Constantin Ciucurel
title An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People
title_short An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People
title_full An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People
title_fullStr An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People
title_full_unstemmed An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People
title_sort epidemiological study on the prevalence of the clinical features of sars-cov-2 infection in romanian people
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1661-7827
1660-4601
publishDate 2020-07-01
description The aim of this study was to investigate the prevalence of the clinical features of the SARS-CoV-2 infection in Romanian population through a novel online survey. The survey included categorical socio-demographic and health-related variables. A total of 1830 participants were selected for statistical data processing (a response rate of 90.9%). We determined reasonable reliability of the survey section for clinical features of SARS-CoV-2 infection (Cronbach’s Alpha 0.671). Two meaningful dimensions were identified through CATPCA (Categorical Principal Component Analysis) for the survey’s items. We separated two significant clusters of items, each measuring a distinct factor: the sociodemographic characteristics linked to social distancing and the relevant clinical features of SARS-CoV-2 infection. Next, a two-step cluster analysis helped to classify the sample group taking into consideration the similarity of subjects. The clustering revealed a three-cluster solution, with significant differences between clusters and allowed the cluster detection of a group of individuals, possibly more affected by the infection with the SARS-CoV-2 virus. Through binomial logistic regression analysis, we identified a statistically significant prediction model for the presumptive diagnostic of some relevant clinical features of SARS-CoV-2 infection. Our study validated a cost-effective model for rapid assessment of the health status of subjects, adapted to the context of SARS-CoV-2 pandemic.
topic COVID-19
prevalence study
online survey
Romanian population
url https://www.mdpi.com/1660-4601/17/14/5082
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