Superspreading of SARS-CoV-2: a systematic review and meta-analysis of event attack rates and individual transmission patterns.

COVID-19 coronavirus heterogeneity infectious disease epidemiology transmission

Journal

Epidemiology and infection
ISSN: 1469-4409
Titre abrégé: Epidemiol Infect
Pays: England
ID NLM: 8703737

Informations de publication

Date de publication:
08 Oct 2024
Historique:
medline: 8 10 2024
pubmed: 8 10 2024
entrez: 8 10 2024
Statut: epublish

Résumé

SARS-CoV-2 superspreading occurs when transmission is highly efficient and/or an individual infects many others, contributing to rapid spread. To better quantify heterogeneity in SARS-CoV-2 transmission, particularly superspreading, we performed a systematic review of transmission events with data on secondary attack rates or contact tracing of individual index cases published before September 2021 prior to the emergence of variants of concern and widespread vaccination. We reviewed 592 distinct events and 9,883 index cases from 491 papers. A meta-analysis of secondary attack rates identified substantial heterogeneity across 12 chosen event types/settings, with the highest transmission (25-35%) in co-living situations including households, nursing homes, and other congregate housing. Among index cases, 67% reported zero secondary cases and only 3% (287) infected >5 secondary cases ("superspreaders"). Index case demographic data were limited, with only 55% of individuals reporting age, sex, symptoms, real-time polymerase chain reaction (PCR) cycle threshold values, or total contacts. With the data available, we identified a higher percentage of superspreaders among symptomatic individuals, individuals aged 49-64 years, and individuals with over 100 total contacts. Addressing gaps in the literature regarding transmission events and contact tracing is needed to properly explain the heterogeneity in transmission and facilitate control efforts for SARS-CoV-2 and other infections.

Identifiants

pubmed: 39377138
doi: 10.1017/S0950268824000955
pii: S0950268824000955
doi:

Types de publication

Systematic Review Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

e121

Subventions

Organisme : World Health Organization
Pays : International

Auteurs

Clifton D McKee (CD)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Emma X Yu (EX)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Andrés Garcia (A)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Jules Jackson (J)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Aybüke Koyuncu (A)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Sophie Rose (S)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Andrew S Azman (AS)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Katie Lobner (K)

Welch Medical Library, Johns Hopkins University, Baltimore, MD, USA.

Emma Sacks (E)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Maria D Van Kerkhove (MD)

Department of Epidemic and Pandemic Preparedness and Prevention, Emergency Preparedness Programme, World Health Organization, Geneva, Switzerland.

Emily S Gurley (ES)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

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Classifications MeSH