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Inferring risks of coronavirus transmission from community household data
Thomas House1,2,3, Heather Riley1, Lorenzo Pellis1,3
1Department of Mathematics, 5292University of Manchester, Manchester UK.
Understanding COVID-19 household transmission is key. This study analyzed English survey data, revealing transmission probabilities, variant impacts, and risks for patient-facing workers and children.
Area of Science:
- Epidemiology
- Infectious disease transmission
- Public health
Background:
- Government responses to COVID-19 focused on controlling household transmission.
- Understanding transmission dynamics within households is crucial for effective public health strategies.
Purpose of the Study:
- To analyze within- and between-household transmission of COVID-19.
- To quantify transmission risks associated with different variants, occupations, and age groups.
Main Methods:
- Exploratory, residual-based, and transmission-dynamic household analysis.
- Utilized Office for National Statistics COVID-19 Infection Survey data (April 2020 - July 2021) in England.
Main Results:
- Within-household transmission probability estimated at 15-35%.
- Alpha variant ~50% more infectious than wildtype; Delta ~35% less infectious than Alpha.
- Increased risk of household infection for patient-facing workers (pre-vaccine) and school-aged children when schools were open.
Conclusions:
- Household transmission rates varied with epidemic and vaccination progress.
- COVID-19 variants and specific demographics significantly influenced household infection risk.
- Findings inform targeted public health interventions for household settings.
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