ArticleThe Lancet regional health. Western Pacific2020
Settings of virus exposure and their implications in the propagation of transmission networks in a COVID-19 outbreak.
Article in The Lancet regional health. Western Pacific, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Variability in the Population Diffusion Patterns of SARS-CoV-2 by Exposure Setting and Its Roles in Driving Epidemic Dynamics.Influenza and other respiratory viruses · 2025Article
- Natural, vaccine-induced immunity and the probability of experiencing SARS-CoV-2 infection in a household cohort in Rio de Janeiro.Scientific reports · 2025Article
- Population Behavior Changes Underlying Phasic Shifts of SARS-CoV-2 Exposure Settings Across 3 Omicron Epidemic Waves in Hong Kong: Prospective Cohort Study.JMIR public health and surveillance · 2024Article
- COVID-19 cluster surveillance using exposure data collected from routine contact tracing: The genomic validation of a novel informatics-based approach to outbreak detection in England.PLOS digital health · 2024Article
- Spatiotemporal modeling of COVID-19 spread: unveiling socioeconomic disparities and patterns, across social classes in the urban population of Kermanshah, Iran.Frontiers in public health · 2024Article
- Social Support, Resilience, and Mental Health Among Three High-Risk Groups in Hong Kong: A Mediation Analysis.International journal of public health · 2024Article
- Inferring Viral Transmission Pathways from Within-Host Variation.medRxiv : the preprint server for health sciences · 2023Article
- Utilization of the Unlinked Case Proportion to Control COVID-19: A Focus on the Non-pharmaceutical Interventional Policies of the Korea and Japan.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023Article
- Dining-Out Behavior as a Proxy for the Superspreading Potential of SARS-CoV-2 Infections: Modeling Analysis.JMIR public health and surveillance · 2023Article
- A statistical framework for tracking the time-varying superspreading potential of COVID-19 epidemic.Epidemics · 2023Article
- TransCode: Uncovering COVID-19 transmission patterns via deep learning.Infectious diseases of poverty · 2023Article
- Identifying High-Risk Events for COVID-19 Transmission: Estimating the Risk of Clustering Using Nationwide Data.Viruses · 2023Article
- Case-Control Study on the Routes of Transmission of SARS-CoV-2 after the Third Pandemic Wave in Tuscany, Central Italy.International journal of environmental research and public health · 2023Article
- Association Between Population-Level Factors and Household Secondary Attack Rate of SARS-CoV-2: A Systematic Review and Meta-analysis.Open forum infectious diseases · 2023Article
- Enforcement of the Use of Digital Contact-Tracing Apps in a Common Law Jurisdiction.Healthcare (Basel, Switzerland) · 2022Article
- COVID-19 outbreak rates and infection attack rates associated with the workplace: a descriptive epidemiological study.BMJ open · 2022Article
- SARS-CoV-2 Droplet and Airborne Transmission Heterogeneity.Journal of clinical medicine · 2022Article
- Impact of pre-event testing and quarantine on reducing the risk of COVID-19 epidemic rebound: a modelling study.BMC infectious diseases · 2022Article
- Trajectory patterns of SARS-CoV-2 neutralising antibody response in convalescent COVID-19 patients.Communications medicine · 2022Article
- Characterization of Unlinked Cases of COVID-19 and Implications for Contact Tracing Measures: Retrospective Analysis of Surveillance Data.JMIR public health and surveillance · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTransmission dynamics of SARS-CoV-2 varied by the settings of virus exposure. Understanding the inter-relationship between exposure setting and transmission networks would provide a basis for informing public health control strategies.
methodsSurveillance and clinical data from the first wave of COVID-19 outbreaks in Hong Kong were accessed. Twelve exposure setting types were differentiated - household, neighbourhood, eateries, entertainment, parties, shopping, personalised service, workplace, education, worship, healthcare, transport. Clustering was investigated followed by reconstructing the transmission cascades of clustered cases using social networking approach. Linked and unlinked cases were compared in statistical analyses.
findingsBetween 23 January and 19 June 2020, 1128 cases were reported. Among 324 cases related to local transmission, 123 clusters comprising two or more epidemiologically linked cases were identified. Linked cases had lower Ct value (
interpretationThere was marked heterogeneity in the characteristics of SARS-CoV-2 transmission cascades which differed by exposure setting. Network epidemiological analyses of transmission cascades can be applied as a risk assessment tool in decision-making for calibrating social distancing measures.
fundingHealth and Medical Research Fund.
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