COVID-19-like symptoms and their relation to the SARS-CoV-2 epidemic in children and adults of an Italian birth cohort

L’esperienza toscana sul processo di dismissione dell’amianto a 28 anni dal bando: criticità e prospettive future.

Journal

Epidemiologia e prevenzione
ISSN: 1120-9763
Titre abrégé: Epidemiol Prev
Pays: Italy
ID NLM: 8902507

Informations de publication

Date de publication:
2021
Historique:
entrez: 21 9 2021
pubmed: 22 9 2021
medline: 23 9 2021
Statut: ppublish

Résumé

to estimate the population prevalence of COVID-19-like symptoms in children and adults during the first SARS-CoV-2 epidemic wave hitting Italy in the spring 2020; to assess their geographical correlation with the cumulative number of COVID-19 cases by province; to analyse their clustering within families; to estimate their sensitivity, positive predictive value (PPV) and negative predictive value (NPV) for COVID-19 diagnosis in individuals tested for SARS-CoV-2. cross-sectional study nested within a birth cohort. mothers participating in an Italian birth cohort (NINFEA) were invited to complete an online questionnaire on COVID-19-like symptoms in their household. population prevalence of COVID-19-like symptoms in children and adults, geographical correlation of COVID-19-like symptoms with the cumulative number of COVID-19 cases by province, clustering of COVID-19-like symptoms within families, and sensitivity, PPV and NPV of COVID-19-like symptoms for COVID-19 diagnosis in individuals tested for SARS-CoV-2. information was collected on 3,184 households, 6,133 adults, and 5,751 children. In the period March-April 2020, 55.4% of the NINFEA families had at least one member with at least one COVID-19-like symptom. There was a strong geographical correlation between the population cumulative incidence of COVID-19 and the prevalence of muscle pain, fatigue, low-grade fever, and breathing difficulties in adults (Spearman's rho >=0.70). Having at least one family member with a COVID-19 diagnosis, compared with none tested for SARS-CoV-2, was associated with an increased prevalence ratio (PR) of almost all COVID-19-like symptoms in adults, and only of low-grade fever (37-37.5°C; PR 4.54; 95%CI 2.20-9.40) and anosmia/dysgeusia in children. Among adults with COVID-19 diagnosis, fatigue, muscle pain, and fever had a sensitivity >=70%. In individuals tested for SARS-CoV-2, with a 16.6% prevalence of COVID-19, breathing difficulties and nausea/vomiting had the highest PPVs, with point estimates close to 60%, and with NPVs close to 90%. the geographical prevalence of COVID-19-like symptoms in adults may inform on local disease clusters, while certain symptoms in family members of confirmed COVID-19 cases could help identify the intra-familial spread of the virus and its further propagation in the community. Low-grade fever is frequent in children with at least one household member with COVID-19 and possibly indicates child infection.

Identifiants

pubmed: 34545726
doi: 10.19191/EP21.6.093
pii: 5685
doi:

Substances chimiques

Asbestos 1332-21-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

486-495

Auteurs

Maja Popovic (M)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy); maja.popovic@unito.it.

Chiara Moccia (C)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

Elena Isaevska (E)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

Giovenale Moirano (G)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

Costanza Pizzi (C)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

Daniela Zugna (D)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

Franca Rusconi (F)

Unit of Epidemiology, Meyer Children's University Hospital, Florence (Italy).

Franco Merletti (F)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

Milena Maule (M)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

Lorenzo Richiardi (L)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and Reference Centre for Epidemiology and Cancer Prevention in Piedmont (CPO Piemonte), Turin (Italy).

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Classifications MeSH