Tracing household transmission of SARS-CoV-2 in New Zealand using genomics

Author:

Jelley Lauren,Aminisani Nayyereh,O’Neill Meaghan,Jennings Tineke,Douglas Jordan,Utekar Srushti,Johnston Helen,Welch David,Hadfield James, , ,Turner Nikki,Dowell Tony,Nesdale Annette,Dobinson Hazel C.,Campbell-Stokes Priscilla,Balm Michelle,Grant Cameron C.,Daniells Karen,McIntyre Peter,Trenholme Adrian,Byrnes Cass, ,Seeds Ruth,Wood Tim,Rensburg Megan,Cueto Jort,Caballero Ernest,John Joshma,Penghulan Emmanuel,Currin Danielle,Ryan Mary,Bowers Andrea, ,Tan Chor Ee,Bocacao Judy,Gunn Wendy,Bird Bryden,Slater Tegan,Ahmed Farjana,Sam Mai Anh,Glampe Elaisa,Davey Gabriella,de Ligt Joep,Winter David,French Nigel,Thomas Paul G.,Webby Richard J.,Huang Sue,Geoghegan Jemma L.

Abstract

AbstractBy early 2022, the highly transmissible Omicron variant of SARS-CoV-2 had spread across most of the world. For the first time since the pandemic began, New Zealand was experiencing high levels of community transmission of SARS-CoV-2. We enroled a cohort of households to better understand differences in transmission dynamics among subvariants of Omicron. We enroled 71 households, comprising 289 participants, and aimed to use viral genomes to gain a clearer understanding of variant-specific differences in epidemiological parameters affecting transmission dynamics. Approximately 80% of the households enroled experienced transmission of BA.2, while most of the remaining households had infections with BA.1 or BA.5. Using a logistic regression generalised linear mixed model, we found no difference in household secondary infection rate between Omicron subvariants BA.1, BA.2 and BA.5. Of the households recruited, the vast majority (92%) experienced a single chain of transmission with one inferred introduction. Further, we found that in 48% of the households studied, all household participants became infected following an index case. Most household participants tested positive within a week following an introduction, supporting the seven-day isolation requirement for household contacts that was in place in New Zealand at the time. By integrating genomic and epidemiological data, we show that viral transmission dynamics can be investigated with a higher level of granularity than with epidemiological data alone. Overall, households are a high risk setting for viral transmission in New Zealand.

Funder

New Zealand Health Research Council Grant

US-NIAID

Publisher

Springer Science and Business Media LLC

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