Evidence map›Paper›PMID 40452161›Full record

ArticleInfluenza and other respiratory viruses2025

Variability in the Population Diffusion Patterns of SARS-CoV-2 by Exposure Setting and Its Roles in Driving Epidemic Dynamics.

Chin Pok Chan, Ngai Sze Wong, Tsz Ho Kwan, Eng Kiong Yeoh, Shui Shan Lee

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chin Pok ChanS.H. Ho Research Centre for Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-0756-1658
Ngai Sze WongS.H. Ho Research Centre for Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China.
Tsz Ho KwanS.H. Ho Research Centre for Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China.
Eng Kiong YeohJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Shui Shan LeeS.H. Ho Research Centre for Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China.

Funding

Health and Medical Research Fund of the Health Bureau of the Government of the Hong Kong Special Administrative Region COVID190105Health and Medical Research Fund of the Health Bureau of the Government of the Hong Kong Special Administrative Region COVID1903008 - Project AHealth and Medical Research Fund of the Health Bureau of the Government of the Hong Kong Special Administrative Region COVID19F03
6 · The paper itself

Abstract

backgroundIdentifying transmission events that trigger epidemic spread is paramount for informing outbreak control. This study characterised the population diffusion patterns of SARS-CoV-2 across exposure settings and evaluate their ramifications in epidemic growth.

methodsIn Hong Kong, COVID-19 clusters delineated through case-based surveillance during the pandemic period were classified into eight exposure settings: residence, home gathering, neighbourhood, workplace (office)/school, workplace (non-office), daily activity, social activity and healthcare. Diffusion patterns characterised by outbreak size, speed and likelihood of spillover (cases seeding a new cluster) were compared among settings. With different clusters emerging, the lagged effect on effective reproduction number (R

resultsBetween January 2020 and January 2022, some 2800 clusters involving 14,202 cases were identified over five epidemic waves precipitated by outbreaks occurring in daily activity (wave I/III), social activity (wave II/IV) and neighbourhood (wave V-Omicron). Adjusted for variations by epidemic wave, the largest and fastest spread was observed in neighbourhood, averaging a size of 11.9 and daily generation of 1.18 cases per cluster. Spillover was the most common for social activity clusters with each of which normally breeding 3.73 onward clusters, compared to 0.18 for residential clusters. A cluster emerging in neighbourhood, social activity and daily activity was estimated to raise the R

conclusionsNeighbourhood and social activity outbreaks were inclined to induce epidemic spread, warranting the need for prioritised mitigation and targeted implementation of precautionary measures during both epidemics and peak season of respiratory infection.

Indexed as

COVID-19SARS-CoV-2AdultBasic Reproduction NumberDisease OutbreaksFemaleHong KongHumansMalePandemicsResidence Characteristicsepidemicoutbreak dynamicsSARS‐CoV‐2transmission clustervirus exposure

Identifiers

PMID40452161
PMCPMC12127217

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.