Investigating setting-specific superspreading potential and generation intervals of COVID-19 in Hong Kong.

Publication date: Jul 01, 2025

Superspreading is an important feature of COVID-19 transmission dynamics, but few studies have investigated this feature stratified by transmission setting. Using detailed clustering data comprising 8647 COVID-19 cases confirmed in Hong Kong between 2020 and 2021, we estimated the mean number of new infections expected in a transmission cluster ( ) and the degree of overdispersion (k) by setting. Estimates of ranged within 0. 4-7. 1 across eight settings, with highest in the close-social indoor setting that an average of seven new infections per cluster was expected. Transmission was most heterogeneous (k = 0. 05) in retail setting and least heterogeneous (k = 1. 1) in households, where smaller k indicates greater overdispersion and superspreading potential. Point-estimates of the mean generation interval (GI) ranged within 4. 4-7. 0, and settings with shorter mean realized GIs were associated with smaller cluster sizes. Here, we show that superspreading potential and generation intervals can vary across settings, strengthening the need for setting-specific interventions.

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Concepts Keywords
Covid Cluster Analysis
Kong COVID-19
Overdispersion Family Characteristics
Retail Hong Kong
Humans
SARS-CoV-2

Semantics

Type Source Name
disease MESH COVID-19
disease MESH infections
drug DRUGBANK Etodolac
pathway REACTOME Reproduction
disease IDO contact tracing
disease IDO process
disease IDO history
disease IDO infection
drug DRUGBANK Coenzyme M
drug DRUGBANK L-Valine
disease IDO symptom
drug DRUGBANK Spinosad
disease IDO intervention
disease MESH death
drug DRUGBANK Aspartame
disease MESH secondary infections
drug DRUGBANK Potassium
drug DRUGBANK Trestolone
disease MESH asymptomatic infection
disease IDO primary infection
disease MESH Uncertainty
disease IDO algorithm
disease MESH syndrome
disease MESH community transmission
disease MESH viral load
disease MESH infectious diseases
drug DRUGBANK Medical air

Original Article

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