Numbers of close contacts of individuals infected with Sars-CoV-2 and their association with government intervention strategies

Bibliographic Data

ID15364668
AuthorsConor G McAloon (0000-0002-4984-4031, University College Dublin, corresponding author), Patrick Wall (0000-0001-5233-8714, University College Dublin), Francis Butler (0000-0003-3925-5863, University College Dublin), Mary Codd (0000-0002-3722-7204, University College Dublin), Eamonn Gormley (0000-0003-3900-0393, University College Dublin), Cathal Walsh (0000-0001-6599-9562, University of Limerick), Jim Duggan (0000-0001-8554-2594, Ollscoil na Gaillimhe – University of Galway), Thomas Brendan Murphy (0000-0002-5668-7046, University College Dublin), Philip Nolan (0000-0002-8445-7598, National University of Ireland, Maynooth), Breda Smyth (Health Service Executive), Katie M O’Brien (0000-0003-1853-5663, Department of Health), Katie O’Brien, Conor Teljeur (0000-0002-4494-1000, Health Information and Quality Authority), Martin Green (0000-0002-6408-6443, University of Nottingham), Martin J Green, Luke O’Grady (0000-0003-0035-8259, University of Nottingham), Kieran Culhane (Central Statistics Office), Claire Buckley (0000-0002-3174-7022, Health Service Executive), Ciara Carroll (0009-0009-1854-2995, Health Service Executive), Sarah Doyle (0000-0002-6064-0865, Health Service Executive), Jennifer Martins (0000-0001-7915-3138), Jennifer Martin (0000-0002-7400-8916, Health Service Executive), Simon J More (0000-0002-4270-0385, University College Dublin)
Year2021
Volume21
Issue1
Pages2238-2238
Publication date2021-12-01
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-021-12318-y
PMID34886842
OpenAlexW4226205919
LanguageEN
Citations received1
References cited22

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

Biostatistics · Contact tracing · Coronavirus disease 2019 (COVID-19 · Disease · Environmental health · Infectious disease (medical specialty · Pathology · Population · Psychological intervention · Public health · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Demography · Medicine · Epidemiology

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Open DOIOpen Access