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Numbers of close contacts of individuals infected with SARS-CoV-2 and their association with government intervention strategies.
McAloon, Conor G; Wall, Patrick; Butler, Francis; Codd, Mary; Gormley, Eamonn; Walsh, Cathal; Duggan, Jim; Murphy, T Brendan; Nolan, Philip; Smyth, Breda; O'Brien, Katie; Teljeur, Conor; Green, Martin J; O'Grady, Luke; Culhane, Kieran; Buckley, Claire; Carroll, Ciara; Doyle, Sarah; Martin, Jennifer; More, Simon J.
  • McAloon CG; School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland. conor.mcaloon@ucd.ie.
  • Wall P; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.
  • Butler F; School of Biosystems and Food Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
  • Codd M; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.
  • Gormley E; School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
  • Walsh C; Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland.
  • Duggan J; School of Computer Science, National University of Ireland Galway, Galway, Ireland.
  • Murphy TB; School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland.
  • Nolan P; National University of Ireland Maynooth, Kildare, Ireland.
  • Smyth B; Department of Public Health, Health Service Executive West, Galway, Ireland.
  • O'Brien K; Department of Health, Dublin 2, Ireland.
  • Teljeur C; Health Information and Quality Authority, George's Court, Dublin 7, Ireland.
  • Green MJ; School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
  • O'Grady L; School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.
  • Culhane K; School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
  • Buckley C; Central Statistics Office, Ardee road, Rathmines, Dublin, Ireland.
  • Carroll C; COVID-19 Contact Management Programme, Health Service Executive, Dublin, Ireland.
  • Doyle S; COVID-19 Contact Management Programme, Health Service Executive, Dublin, Ireland.
  • Martin J; COVID-19 Contact Management Programme, Health Service Executive, Dublin, Ireland.
  • More SJ; COVID-19 Contact Management Programme, Health Service Executive, Dublin, Ireland.
BMC Public Health ; 21(1): 2238, 2021 12 09.
Article in English | MEDLINE | ID: covidwho-1566516
Preprint
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ABSTRACT

BACKGROUND:

Contact tracing is conducted with the primary purpose of interrupting transmission from individuals who are likely to be infectious to others. Secondary analyses of data on the numbers of close contacts of confirmed cases could also provide an early signal of increases in contact patterns that might precede larger than expected case numbers; evaluate the impact of government interventions on the number of contacts of confirmed cases; or provide data information on contact rates between age cohorts for the purpose of epidemiological modelling. We analysed data from 140,204 close contacts of 39,861 cases in Ireland from 1st May to 1st December 2020.

RESULTS:

Negative binomial regression models highlighted greater numbers of contacts within specific population demographics, after correcting for temporal associations. Separate segmented regression models of the number of cases over time and the average number of contacts per case indicated that a breakpoint indicating a rapid decrease in the number of contacts per case in October 2020 preceded a breakpoint indicating a reduction in the number of cases by 11 days.

CONCLUSIONS:

We found that the number of contacts per infected case was overdispersed, the mean varied considerable over time and was temporally associated with government interventions. Analysis of the reported number of contacts per individual in contact tracing data may be a useful early indicator of changes in behaviour in response to, or indeed despite, government restrictions. This study provides useful information for triangulating assumptions regarding the contact mixing rates between different age cohorts for epidemiological modelling.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2021 Document Type: Article Affiliation country: S12889-021-12318-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2021 Document Type: Article Affiliation country: S12889-021-12318-y