Risk factors for household transmission of SARS-Cov-2: a modelling study in the French national population-based EpiCov cohort
Rattachement africain : fr, Burkina Faso, lu. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
ABSTRACT Background Households are specific transmission settings, as they involve close and repeated contacts between individuals of different generations. Household surveys provide a unique opportunity to better understand SARS-CoV-2 transmission and the role of individual characteristics. Here, we assessed the risk of SARS-CoV-2 acquisition from household and community exposure according to age, family ties, and socioeconomic and living conditions using data from the nationwide population-based EpiCov cohort/ORCHESTRA collaboration in November-December 2020. Methods A history of SARS-CoV-2 infection was defined by a positive Euroimmun Anti-SARS-CoV-2 ELISA IgG result in November-December 2020. We applied stochastic chain binomial models fitted to the final distribution of infections in households to data from 17,983 individuals ≥5 years enrolled from 8,165 households. Models estimated the competing risks of being infected from community and household exposure. Results Young adults aged 18-24 years had the highest risk of extra-household infection (8.9%, [95% credible interval, Crl]: 7.5 – 10.4), whereas the oldest (>75) and the youngest (6-10) had the lowest risk, 2.6% (1.8 – 3.5) and 3.4% (1.9 – 5.2), respectively. Extra-household infection was also independently associated with socioeconomic conditions. Within households, the probability of person-to-person transmission increased with age: 10.6% (5.0 – 17.9) among 6-10-year-olds to 43.1% (32.6 – 53.2) among 65-74-year-olds. It was higher between partners 29.9% (25.6 - 34.3) and from mother to child 29.1% (21.4 – 37.3) than between individuals related by other family ties. Conclusion In 2020 in France, the main factors identified for extra-household infection were age and socioeconomic conditions. Intra-household infection mainly depended on age and family ties. Key Messages Young adults aged 18-24 years had the highest probability of extra-household SARS-Cov-2 acquisition over the year 2020: 8.9%, 95% credible interval (95%Crl) 7.5 – 10.4. The probability of extra-household infection increased with family income and population density in the municipality of residence and was higher in the French regions most affected by the waves of SARS-CoV-2. When estimating the probability of person-to-person transmission of SARS-CoV-2, the 65-74 year-olds had the highest susceptibility, i.e. the highest probability of SARS-CoV-2 acquisition when exposed to an infected household member (22.1%, 16.4 – 28.2) The probability of transmission was the highest between partners (29.9%, 25.6 – 34.3). The probability of transmission was higher from mother to child than from father to child: 29.1%, (21.4 – 37.3) and 14.0% (5.9 – 22.8), respectively. The probability of transmission from child to parent was higher from children <12 years than for older children: 11.8% (2.5 – 25.1) and 4.1% (0.9 – 9.0), respectively.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Risk factors for household transmission of SARS-Cov-2: a modelling study in the French national population-based EpiCov cohort
- Date Crossref
- 07/10/2022
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Inserm pays non établi dans la noticeOrganisme public
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Université de Versailles Saint-Quentin-en-Yvelines pays non établi dans la noticeUniversité ou école supérieure
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Université Paris-Saclay pays non établi dans la noticeUniversité ou école supérieure
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Centre de recherche en Epidémiologie et Santé des Populations pays non établi dans la noticeStructure de recherche
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Institut Pasteur Epidemiology and Modelling of Antibiotic Evasion Unit pays non établi dans la noticeOrganisation à but non lucratif
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Santé Publique France pays non établi dans la noticeInstitution
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Ministère De La Santé Burkina Faso (code pays fourni par la source)Organisme public
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Ministère de la Santé pays non établi dans la noticeOrganisme public
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Aix-Marseille Université Unité des Virus Emergents pays non établi dans la noticeUniversité ou école supérieure
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Institut de Recherche pour le Développement pays non établi dans la noticeOrganisme public
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Unité des Virus Emergents pays non établi dans la noticeStructure de recherche
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Assistance Publique – Hôpitaux de Paris pays non établi dans la noticeÉtablissement de santé
Inserm, Université de Versailles Saint-Quentin-en-Yvelines et Université Paris-Saclay, avec 9 autres affiliations. Pays d’affiliation : Burkina Faso.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.