Estimating the contribution of setting-specific contacts to SARS-CoV-2 transmission using digital contact tracing data.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
19 Jul 2024
19 Jul 2024
Historique:
received:
03
12
2023
accepted:
09
07
2024
medline:
20
7
2024
pubmed:
20
7
2024
entrez:
19
7
2024
Statut:
epublish
Résumé
While many countries employed digital contact tracing to contain the spread of SARS-CoV-2, the contribution of cospace-time interaction (i.e., individuals who shared the same space and time) to transmission and to super-spreading in the real world has seldom been systematically studied due to the lack of systematic sampling and testing of contacts. To address this issue, we utilized data from 2230 cases and 220,878 contacts with detailed epidemiological information during the Omicron outbreak in Beijing in 2022. We observed that contact number per day of tracing for individuals in dwelling, workplace, cospace-time interactions, and community settings could be described by gamma distribution with distinct parameters. Our findings revealed that 38% of traced transmissions occurred through cospace-time interactions whilst control measures were in place. However, using a mathematical model to incorporate contacts in different locations, we found that without control measures, cospace-time interactions contributed to only 11% (95%CI: 10%-12%) of transmissions and the super-spreading risk for this setting was 4% (95%CI: 3%-5%), both the lowest among all settings studied. These results suggest that public health measures should be optimized to achieve a balance between the benefits of digital contact tracing for cospace-time interactions and the challenges posed by contact tracing within the same setting.
Identifiants
pubmed: 39030231
doi: 10.1038/s41467-024-50487-7
pii: 10.1038/s41467-024-50487-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
6103Subventions
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 82073616
Informations de copyright
© 2024. The Author(s).
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