Using high-resolution contact networks to evaluate SARS-CoV-2 transmission and control in large-scale multi-day events
Nature Communications·
- DOI
- 10.1038/s41467-022-29522-y
- PMID
- 35414056
- PMCID
- PMC9005731
- OpenAlex
- W4225410778
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Publication version
This article has a linked preprint
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Open linked preprint →Why this research matters now
Findings speak to the design of multi-layered interventions for resuming large-scale, multi-day gatherings in the context of highly transmissible variants, emphasizing vaccination and testing alongside other controls.
Structured evidence summary
Research question
The study examines how social contacts formed across different activity settings influence interventions needed to control Delta-variant SARS-CoV-2 outbreaks during large-scale, multi-day events.
Study design
An empirical study combining high-resolution contact data collected among passengers and crew on cruise ships with network-based transmission modeling of simulated Delta-variant outbreaks.
Population and setting
Passengers and crew on multi-day cruise ships, with close-contact episodes documented across onboard activity areas.
Main findings
Passengers had a median of 20 unique close contacts daily (IQR 10–36), and over 60% of contact episodes occurred in dining or sports areas where mask use is typically limited. Simulated Delta-variant outbreaks indicated that vaccination coverage and rapid antigen testing had a larger effect than mask mandates alone, supporting the importance of combined interventions.
Public-health relevance
Findings speak to the design of multi-layered interventions for resuming large-scale, multi-day gatherings in the context of highly transmissible variants, emphasizing vaccination and testing alongside other controls.
Important limitations
This summary is limited to the supplied single-article abstract and metadata; the original paper is needed to assess explicit limitations such as generalizability beyond cruise settings, model assumptions, and data-recording constraints.
GIDS interpretation
The paper contributes contact-network and intervention evidence relevant to transmission dynamics and vaccination at mass gatherings; any connection to a live surveillance signal is not established here.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.