Evidence map›Paper›PMID 42380961›Full record

ArticleBMC medicine2026

The impact of public health and social measures on social contact patterns and transmission of COVID-19 in Hong Kong.

Horace Choi, Kiesha Prem, Shirley Kwok, Eric Lau, Gabriel M Leung, Mark Jit, Kathy Leung, Joseph T Wu

Abstract read
In one paragraph

Article in BMC medicine, 2026. 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

8 authors.

Horace Choi *WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Kiesha Prem *Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Shirley KwokWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Eric LauWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Gabriel M LeungWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Mark JitWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Kathy LeungWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China. ksmleung@ust.hk.
Joseph T WuWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China. joewu@hku.hk.

Funding

Health and Medical Research Fund COVID19F05
6 · The paper itself

Abstract

backgroundPublic health and social measures (PHSMs) are key interventions during pandemics. This study quantifies temporal changes in daily interpersonal contacts associated with PHSM implementation and their potential impact on disease transmission across different phases of the COVID-19 pandemic in Hong Kong from 2021 to 2023.

methodsWe recruited 7,053 individuals from the general population and 3,462 participants from selected high-contact groups between September 2021 and December 2023. The study period spanned the infection-naïve phase before 2022 through the city's fifth wave of COVID-19 (January-April 2022) driven by the Omicron BA.2 variant. Reported cumulative incidence was < 0.2% of the population before the fifth wave and rose to 16% afterward. The onset of the fifth wave prompted the government to impose unprecedentedly stringent PHSMs. Participants reported their daily number of contacts via contact surveys, from which we constructed social contact matrices. We then compared the dominant eigenvalues of these contact matrices to estimate the potential association of PHSMs with changes in the basic reproduction number ([Formula: see text]).

resultsAmong the general population, the average number of daily contacts dropped significantly from 6.2 (mean; 95% confidence interval [CI]: 5.9-6.5) during pre-fifth wave to 5.1 (5.0-5.3) during the fifth wave. After the fifth wave, the average number of contacts remained low at 5.1 (5.0-5.3) when some PHSMs such as mask-wearing policies were still in place. Once all PHSMs were lifted after March 2023, the average number of contacts increased to 8.4 (8.3-8.5). Compared to the general population, participants from the selected high-contact groups reported more contacts by 23% (95% CI: 21%-26%) on average. Compared to pre-fifth wave levels, PHSMs imposed during the fifth wave were associated with a 20% reduction (median; 95% percentile interval: 1%-40%) in [Formula: see text]. Relaxation of PHSMs in the post-pandemic period suggested an increase in [Formula: see text] by 109% (61%-151%) relative to pre-fifth wave levels.

conclusionsDuring the COVID-19 pandemic in Hong Kong, PHSMs were temporally associated with reduced social contacts and, potentially, disease transmission. These quantitative estimates may indicate the potential value of PHSMs for informing future pandemic preparedness and response.

Indexed as

Contact TracingCOVID-19Public HealthAdultFemaleHong KongHumansMaleMiddle AgedPandemicsSARS-CoV-2Social GroupAge-assortative mixingContact matrixCOVID-19Public health and social measure (PHSM)Social contact pattern

Identifiers

PMID42380961
PMCPMC13587307

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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.