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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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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