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A rapid review of available evidence on the serial interval and generation time of COVID-19
John M Griffin; Aine B Collins; Kevin Hunt; David McEvoy; Miriam Casey; Andrew W Byrne; Conor G McAloon; Ann Barber; Elizabeth Ann Lane; Simon J More.
Affiliation
  • John M Griffin; Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin D04 W6F6, Ireland.
  • Aine B Collins; Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin D04 W6F6, Ireland.
  • Kevin Hunt; School of Biosystems and Food Engineering, University College Dublin, Belfield, Dublin 4, Ireland
  • David McEvoy; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland
  • Miriam Casey; Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin D04 W6F6, Ireland.
  • Andrew W Byrne; One Health Scientific Support Unit, Department of Agriculture, Food and the Marine (DAFM), Kildare Street, Dublin 2, Ireland
  • Conor G McAloon; Section of Herd Health and Animal Husbandry, UCD School of Veterinary Medicine, University College Dublin, Dublin D04 W6F6, Ireland
  • Ann Barber; Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin D04 W6F6, Ireland.
  • Elizabeth Ann Lane; Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin D04 W6F6, Ireland.
  • Simon J More; Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin D04 W6F6, Ireland.
Preprint in English | medRxiv | ID: ppmedrxiv-20095075
Journal article
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ABSTRACT
BackgroundThe serial interval is the time between symptom onsets in an infector-infectee pair. The generation time, also known as the generation interval, is the time between infection events in an infector-infectee pair. The serial interval and the generation time are key parameters for assessing the dynamics of a disease. A number of scientific papers reported information pertaining to the serial interval and/or generation time for COVID-19. ObjectivesConduct a rapid review of available evidence to advise on appropriate parameter values for serial interval and generation time in national COVID-19 transmission models for Ireland and on methodological issues relating to those parameters. MethodsA review of scientific literature was conducted covering the period between December 1, 2019 and April 27, 2020. Nineteen scientific papers were evaluated in detail from 27 papers that contained information on the serial interval and/or generation time for COVID-19. ResultsThe mean of the serial interval ranged from 3.1 to 7.5 days, based on 22 estimates, and the median from 1.9 to 6.0 days (based on 7 estimates). Only three estimates were provided for the mean of the generation time. These ranged from 3.9 to 5.2 days. One estimate of 5.0 days was provided for the median of the generation time. DiscussionThe values of the estimates for serial interval and generation time are heavily influenced by the contact rates between infectious and susceptible individuals. Mitigation measures that are introduced in a country or region are of paramount importance in this regard. The serial interval estimate of 6.6 days (95% confidence interval 0.7 - 19.0) from the paper by Cereda et al.[10] is likely to be the most relevant to European countries. National estimates should be obtained as soon as possible. Strengths and limitations of this studyO_LIThe study provides timely information on serial interval and generation time for those involved in the development of models and in the implementation of control measures against COVID-19. C_LIO_LIThis is a rapid review of available evidence in the scientific literature between December 1, 2019 and April 27, 2020 on the serial interval and/or the generation time and it contains the usual limitations associated with such a review. C_LIO_LIEleven of the 19 papers reviewed in detail were pre-print articles. C_LIO_LIThe statistical methods used in the different papers were not analysed in detail. C_LI
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Review Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Review Language: English Year: 2020 Document type: Preprint
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