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Transmission of SARS-CoV-2 within households: a remote prospective cohort study in European countries.
Verberk, Janneke D M; de Hoog, Marieke L A; Westerhof, Ilse; van Goethem, Sam; Lammens, Christine; Ieven, Greet; de Bruin, Erwin; Eggink, Dirk; Bielicki, Julia A; Coenen, Samuel; van Beek, Janko; Bonten, Marc J M; Goossens, Herman; Bruijning-Verhagen, Patricia C J L.
Afiliación
  • Verberk JDM; Julius Centre for Health Sciences and Primary Care, Department of Epidemiology, University Medical Centre Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
  • de Hoog MLA; Department of Medical Microbiology and Infection Prevention, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Westerhof I; Julius Centre for Health Sciences and Primary Care, Department of Epidemiology, University Medical Centre Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands. M.L.A.deHoog@umcutrecht.nl.
  • van Goethem S; Julius Centre for Health Sciences and Primary Care, Department of Epidemiology, University Medical Centre Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
  • Lammens C; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Ieven G; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • de Bruin E; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Eggink D; Department of Viroscience, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Bielicki JA; Centre for Infectious Disease Control, WHO COVID-19 Reference Laboratory, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Coenen S; Infection Prevention and Control, University of Basel Childrens Hospital, Basel, Switzerland.
  • van Beek J; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Bonten MJM; Department of Viroscience, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Goossens H; Julius Centre for Health Sciences and Primary Care, Department of Epidemiology, University Medical Centre Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
  • Bruijning-Verhagen PCJL; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Eur J Epidemiol ; 37(5): 549-561, 2022 May.
Article en En | MEDLINE | ID: mdl-35644003
Household transmission studies are useful to quantify SARS-CoV-2 transmission dynamics. We conducted a remote prospective household study to quantify transmission, and the effects of subject characteristics, household characteristics, and implemented infection control measures on transmission. Households with a laboratory-confirmed SARS-CoV-2 index case were enrolled < 48 h following test result. Follow-up included digitally daily symptom recording, regular nose-throat self-sampling and paired dried blood spots from all household members. Samples were tested for virus detection and SARS-CoV-2 antibodies. Secondary attack rates (SARs) and associated factors were estimated using logistic regression. In 276 households with 920 participants (276 index cases and 644 household members) daily symptom diaries and questionnaires were completed by 95%, and > 85% completed sample collection. 200 secondary SARS-CoV-2 infections were detected, yielding a household SAR of 45.7% (95% CI 39.7-51.7%) and per-person SAR of 32.6% (95%CI: 28.1-37.4%). 126 (63%) secondary cases were detected at enrollment. Mild (aRR = 0.57) and asymptomatic index cases (aRR = 0.29) were less likely to transmit SARS-CoV-2, compared to index cases with an acute respiratory illness (p = 0.03 for trend), and child index cases (< 12 years aRR = 0.60 and 12-18 years aRR = 0.85) compared to adults (p = 0.03 for trend). Infection control interventions in households had no significant effect on transmission. We found high SARs with the majority of transmissions occuring early after SARS-CoV-2 introduction into the household. This may explain the futile effect of implemented household measures. Age and symptom status of the index case influence secondary transmission. Remote, digitally-supported study designs with self-sampling are feasible for studying transmission under pandemic restrictions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 / 4_TD Problema de salud: 1_doencas_nao_transmissiveis / 1_doencas_transmissiveis / 2_muertes_prematuras_enfermedades_notrasmisibles / 4_pneumonia Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies Límite: Adult / Child / Humans Idioma: En Revista: Eur J Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 / 4_TD Problema de salud: 1_doencas_nao_transmissiveis / 1_doencas_transmissiveis / 2_muertes_prematuras_enfermedades_notrasmisibles / 4_pneumonia Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Etiology_studies / Observational_studies / Risk_factors_studies Límite: Adult / Child / Humans Idioma: En Revista: Eur J Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos
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