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Presymptomatic transmission of SARS-CoV-2 infection: a secondary analysis using published data.
Casey-Bryars, Miriam; Griffin, John; McAloon, Conor; Byrne, Andrew; Madden, Jamie; Mc Evoy, David; Collins, Áine; Hunt, Kevin; Barber, Ann; Butler, Francis; Lane, Elizabeth Ann; O'Brien, Kirsty; Wall, Patrick; Walsh, Kieran; More, Simon John.
Afiliação
  • Casey-Bryars M; Centre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland miriam.casey@ucd.ie.
  • Griffin J; Centre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.
  • McAloon C; School of Veterinary Medicine, UCD School of Agriculture Food Science and Veterinary Medicine, Dublin, Ireland.
  • Byrne A; One Health Scientific Support Unit, Government of Ireland Department of Agriculture Food and the Marine, Dublin, Ireland.
  • Madden J; Centre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.
  • Mc Evoy D; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
  • Collins Á; Centre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.
  • Hunt K; Centre for Food Safety, University College Dublin, Dublin, Ireland.
  • Barber A; Centre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.
  • Butler F; Centre for Food Safety, University College Dublin, Dublin, Ireland.
  • Lane EA; Centre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Belfield, Ireland.
  • O'Brien K; Health Information and Quality Authority, Cork, Ireland.
  • Wall P; Public Health, University College Dublin, Dublin, Ireland.
  • Walsh K; Health Information and Quality Authority, Cork, Ireland.
  • More SJ; Centre for Veterinary Epidemiology and Risk Analysis, University College Dublin, Dublin, Ireland.
BMJ Open ; 11(6): e041240, 2021 06 28.
Article em En | MEDLINE | ID: mdl-34183334
ABSTRACT

OBJECTIVE:

To estimate the proportion of presymptomatic transmission of SARS-CoV-2 infection that can occur, and the timing of transmission relative to symptom onset. SETTING/

DESIGN:

Secondary analysis of international published data. DATA SOURCES Meta-analysis of COVID-19 incubation period and a rapid review of serial interval and generation time, which are published separately.

PARTICIPANTS:

Data from China, the Islamic Republic of Iran, Italy, Republic of Korea, Singapore and Vietnam from December 2019 to May 2020.

METHODS:

Simulations were generated of incubation period and of serial interval or generation time. From these, transmission times relative to symptom onset, and the proportion of presymptomatic transmission, were estimated. OUTCOME

MEASURES:

Transmission time of SARS-CoV-2 relative to symptom onset and proportion of presymptomatic transmission.

RESULTS:

Based on 18 serial interval/generation time estimates from 15 papers, mean transmission time relative to symptom onset ranged from -2.6 (95% CI -3.0 to -2.1) days before infector symptom onset to 1.4 (95% CI 1.0 to 1.8) days after symptom onset. The proportion of presymptomatic transmission ranged from 45.9% (95% CI 42.9% to 49.0%) to 69.1% (95% CI 66.2% to 71.9%).

CONCLUSIONS:

There is substantial potential for presymptomatic transmission of SARS-CoV-2 across a range of different contexts. This highlights the need for rapid case detection, contact tracing and quarantine. The transmission patterns that we report reflect the combination of biological infectiousness and transmission opportunities which vary according to context.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Systematic_reviews Limite: Humans País/Região como assunto: Asia / Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Systematic_reviews Limite: Humans País/Região como assunto: Asia / Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article