首页> Lancet (London, England)> Bayesian reconstruction of household transmissions to infer the serial interval of COVID-19 by variants of concern: analysis from a prospective community cohort study (Virus Watch).

Bayesian reconstruction of household transmissions to infer the serial interval of COVID-19 by variants of concern: analysis from a prospective community cohort study (Virus Watch).

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第一作者： Cyril,Geismar

第一单位： MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. Electronic address: c.geismar21@imperial.ac.uk.

作者： Cyril,Geismar ^[1] ; Vincent,Nguyen ^[2] ; Ellen,Fragaszy ^[3] ; Madhumita,Shrotri ^[2] ; Annalan M D,Navaratnam ^[2] ; Sarah,Beale ^[4] ; Thomas E,Byrne ^[2] ; Wing Lam Erica,Fong ^[2] ; Alexei,Yavlinsky ^[2] ; Jana,Kovar ^[5] ; Isobel,Braithwaite ^[2] ; Robert W,Aldridge ^[2] ; Andrew C,Hayward ^[5] ; Peter,White ^[6] ; Thibaut,Jombart ^[6] ; Anne,Cori ^[6]

作者单位： MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. Electronic address: c.geismar21@imperial.ac.uk. ^[1] Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK. ^[2] Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. ^[3] Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK; Institute of Epidemiology and Health Care, University College London, London, UK. ^[4] Institute of Epidemiology and Health Care, University College London, London, UK. ^[5] MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. ^[6]

医学主题词人类(Humans);贝叶斯定理(Bayes Theorem);队列研究(Cohort Studies);前瞻性研究(Prospective Studies)

DOI 10.1016/S0140-6736(22)02250-4

PMID 36929985

发布时间 2025-05-30

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