Self-Reported Symptoms of SARS-CoV-2 Infection in a Nonhospitalized Population in Italy: Cross-Secti...
Self-Reported Symptoms of SARS-CoV-2 Infection in a Nonhospitalized Population in Italy: Cross-Sectional Study of the EPICOVID19 Web-Based Survey
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Author / Creator
Adorni, Fulvio , Prinelli, Federica , Bianchi, Fabrizio , Giacomelli, Andrea , Pagani, Gabriele , Bernacchia, Dario , Rusconi, Stefano , Maggi, Stefania , Trevisan, Caterina , Noale, Marianna , Molinaro, Sabrina , Bastiani, Luca , Fortunato, Loredana , Jesuthasan, Nithiya , Sojic, Aleksandra , Pettenati, Carla , Tavio, Marcello , Andreoni, Massimo , Mastroianni, Claudio , Antonelli Incalzi, Raffaele and Galli, Massimo
Publisher
Canada: JMIR Publications
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Language
English
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Publisher
Canada: JMIR Publications
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Scope and Contents
Contents
Understanding the occurrence of symptoms resembling those of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a large nonhospitalized population at the peak of the epidemic in Italy is of paramount importance; however, data are currently scarce.
The aims of this study were to evaluate the association of self-reported symptoms with SARS-CoV-2 nasopharyngeal swab (NPS) test results in nonhospitalized individuals and to estimate the occurrence of symptoms associated with coronavirus disease (COVID-19) in a larger nontested population.
EPICOVID19 is a self-administered cross-sectional voluntary web-based survey of adults throughout Italy who completed an anonymous questionnaire in the period of April 13 to 21, 2020. The associations between symptoms potentially related to SARS-CoV-2 infection and NPS results were calculated as adjusted odds ratios (aORs) with 95% CIs by multiple logistic regression analysis controlling for age, sex, education, smoking habits, and number of comorbidities. Thereafter, for each symptom and for combinations of the symptoms, we calculated the sensitivity, specificity, accuracy, and areas under the curve (AUCs) in a receiver operating characteristic (ROC) analysis to estimate the occurrence of COVID-19-like infection in the nontested population.
A total of 171,310 people responded to the survey, of whom 102,543 (59.9%) were women; mean age 47.4 years. Out of the 4785 respondents with known NPS test results, 4392 were not hospitalized. Among the 4392 nonhospitalized respondents, those with positive NPS tests (856, 19.5%) most frequently reported myalgia (527, 61.6%), olfactory and taste disorders (507, 59.2%), cough (466, 54.4%), and fever (444, 51.9%), whereas 7.7% were asymptomatic. Multiple regression analysis showed that olfactory and taste disorders (aOR 10.3, 95% CI 8.4-12.7), fever (aOR 2.5, 95% CI 2.0-3.1), myalgia (aOR 1.5, 95% CI 1.2-1.8), and cough (aOR 1.3, 95% CI 1.0-1.6) were associated with NPS positivity. Having two to four of these symptoms increased the aOR from 7.4 (95% CI 5.6-9.7) to 35.5 (95% CI 24.6-52.2). The combination of the four symptoms showed an AUC of 0.810 (95% CI 0.795-0.825) in classifying positive NPS test results and then was applied to the nonhospitalized and nontested sample (n=165,782). We found that 7739 to 20,103 of these 165,782 respondents (4.4% to 12.1%) had experienced symptoms suggestive of COVID-19 infection.
Our results suggest that self-reported symptoms are reliable indicators of SARS-CoV-2 infection in a pandemic context. A nonnegligible number of symptomatic respondents (up to 12.1%) were undiagnosed and potentially contributed to the spread of the infection.
ClinicalTrials.gov NCT04471701; https://clinicaltrials.gov/ct2/show/NCT04471701....
Alternative Titles
Full title
Self-Reported Symptoms of SARS-CoV-2 Infection in a Nonhospitalized Population in Italy: Cross-Sectional Study of the EPICOVID19 Web-Based Survey
Authors, Artists and Contributors
Author / Creator
Prinelli, Federica
Bianchi, Fabrizio
Giacomelli, Andrea
Pagani, Gabriele
Bernacchia, Dario
Rusconi, Stefano
Maggi, Stefania
Trevisan, Caterina
Noale, Marianna
Molinaro, Sabrina
Bastiani, Luca
Fortunato, Loredana
Jesuthasan, Nithiya
Sojic, Aleksandra
Pettenati, Carla
Tavio, Marcello
Andreoni, Massimo
Mastroianni, Claudio
Antonelli Incalzi, Raffaele
Galli, Massimo
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_df5feaf77f2a46718f84531cd4fd9c7e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_df5feaf77f2a46718f84531cd4fd9c7e
Other Identifiers
ISSN
2369-2960
E-ISSN
2369-2960
DOI
10.2196/21866