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Screening and vaccination against COVID-19 to minimise school closure: a modelling study.
Colosi, Elisabetta; Bassignana, Giulia; Contreras, Diego Andrés; Poirier, Canelle; Boëlle, Pierre-Yves; Cauchemez, Simon; Yazdanpanah, Yazdan; Lina, Bruno; Fontanet, Arnaud; Barrat, Alain; Colizza, Vittoria.
  • Colosi E; INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
  • Bassignana G; INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
  • Contreras DA; Aix-Marseille Univ, Université de Toulon, CNRS, Centre de Physique Théorique, Turing Center for Living Systems, Marseille, France.
  • Poirier C; INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
  • Boëlle PY; INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
  • Cauchemez S; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Yazdanpanah Y; Infection, Antimicrobials, Modelling, Evolution, INSERM, Université de Paris, Paris, France; Bichat Claude Bernard Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Lina B; National Reference Center for Respiratory Viruses, Department of Virology, Infective Agents Institute, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France; Virpath Laboratory, International Center of Research in Infectiology, INSERM U1111, CNRS-UMR 5308, École Normale Supérieure de Lyon, Un
  • Fontanet A; Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France; PACRI Unit, Conservatoire National des Arts et Metiers, Paris, France.
  • Barrat A; Aix-Marseille Univ, Université de Toulon, CNRS, Centre de Physique Théorique, Turing Center for Living Systems, Marseille, France; Tokyo Tech World Research Hub Initiative, Tokyo Institute of Technology, Tokyo, Japan.
  • Colizza V; INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France; Tokyo Tech World Research Hub Initiative, Tokyo Institute of Technology, Tokyo, Japan. Electronic address: vittoria.colizza@inserm.fr.
Lancet Infect Dis ; 22(7): 977-989, 2022 07.
Article in English | MEDLINE | ID: covidwho-1768664
ABSTRACT

BACKGROUND:

Schools were closed extensively in 2020-21 to counter SARS-CoV-2 spread, impacting students' education and wellbeing. With highly contagious variants expanding in Europe, safe options to maintain schools open are urgently needed. By estimating school-specific transmissibility, our study evaluates costs and benefits of different protocols for SARS-CoV-2 control at school.

METHODS:

We developed an agent-based model of SARS-CoV-2 transmission in schools. We used empirical contact data in a primary and a secondary school and data from pilot screenings in 683 schools during the alpha variant (B.1.1.7) wave in March-June, 2021, in France. We fitted the model to observed school prevalence to estimate the school-specific effective reproductive number for the alpha (Ralpha) and delta (B.1.617.2; Rdelta) variants and performed a cost-benefit analysis examining different intervention protocols.

FINDINGS:

We estimated Ralpha to be 1·40 (95% CI 1·35-1·45) in the primary school and 1·46 (1·41-1·51) in the secondary school during the spring wave, higher than the time-varying reproductive number estimated from community surveillance. Considering the delta variant and vaccination coverage in Europe as of mid-September, 2021, we estimated Rdelta to be 1·66 (1·60-1·71) in primary schools and 1·10 (1·06-1·14) in secondary schools. Under these conditions, weekly testing of 75% of unvaccinated students (PCR tests on saliva samples in primary schools and lateral flow tests in secondary schools), in addition to symptom-based testing, would reduce cases by 34% (95% CI 32-36) in primary schools and 36% (35-39) in secondary schools compared with symptom-based testing alone. Insufficient adherence was recorded in pilot screening (median ≤53%). Regular testing would also reduce student-days lost up to 80% compared with reactive class closures. Moderate vaccination coverage in students would still benefit from regular testing for additional control-ie, weekly testing 75% of unvaccinated students would reduce cases compared with symptom-based testing only, by 23% in primary schools when 50% of children are vaccinated.

INTERPRETATION:

The COVID-19 pandemic will probably continue to pose a risk to the safe and normal functioning of schools. Extending vaccination coverage in students, complemented by regular testing with good adherence, are essential steps to keep schools open when highly transmissible variants are circulating.

FUNDING:

EU Framework Programme for Research and Innovation Horizon 2020, Horizon Europe Framework Programme, Agence Nationale de la Recherche, ANRS-Maladies Infectieuses Émergentes.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Child / Humans Language: English Journal: Lancet Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S1473-3099(22)00138-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Child / Humans Language: English Journal: Lancet Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S1473-3099(22)00138-4