EconPapers    
Economics at your fingertips  
 

Digital measurement of SARS-CoV-2 transmission risk from 7 million contacts

Luca Ferretti (), Chris Wymant, James Petrie, Daphne Tsallis, Michelle Kendall, Alice Ledda, Francesco Di Lauro, Adam Fowler, Andrea Di Francia, Jasmina Panovska-Griffiths, Lucie Abeler-Dörner, Marcos Charalambides, Mark Briers and Christophe Fraser ()
Additional contact information
Luca Ferretti: University of Oxford
Chris Wymant: University of Oxford
James Petrie: University of Oxford
Daphne Tsallis: Zühlke Engineering Ltd
Michelle Kendall: University of Warwick
Alice Ledda: UK Health Security Agency
Francesco Di Lauro: University of Oxford
Adam Fowler: University of Oxford
Andrea Di Francia: UK Health Security Agency
Jasmina Panovska-Griffiths: University of Oxford
Lucie Abeler-Dörner: University of Oxford
Marcos Charalambides: The Alan Turing Institute
Mark Briers: The Alan Turing Institute
Christophe Fraser: University of Oxford

Nature, 2024, vol. 626, issue 7997, 145-150

Abstract: Abstract How likely is it to become infected by SARS-CoV-2 after being exposed? Almost everyone wondered about this question during the COVID-19 pandemic. Contact-tracing apps1,2 recorded measurements of proximity3 and duration between nearby smartphones. Contacts—individuals exposed to confirmed cases—were notified according to public health policies such as the 2 m, 15 min guideline4,5, despite limited evidence supporting this threshold. Here we analysed 7 million contacts notified by the National Health Service COVID-19 app6,7 in England and Wales to infer how app measurements translated to actual transmissions. Empirical metrics and statistical modelling showed a strong relation between app-computed risk scores and actual transmission probability. Longer exposures at greater distances had risk similar to that of shorter exposures at closer distances. The probability of transmission confirmed by a reported positive test increased initially linearly with duration of exposure (1.1% per hour) and continued increasing over several days. Whereas most exposures were short (median 0.7 h, interquartile range 0.4–1.6), transmissions typically resulted from exposures lasting between 1 h and several days (median 6 h, interquartile range 1.4–28). Households accounted for about 6% of contacts but 40% of transmissions. With sufficient preparation, privacy-preserving yet precise analyses of risk that would inform public health measures, based on digital contact tracing, could be performed within weeks of the emergence of a new pathogen.

Date: 2024
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/s41586-023-06952-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:626:y:2024:i:7997:d:10.1038_s41586-023-06952-2

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/s41586-023-06952-2

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:nature:v:626:y:2024:i:7997:d:10.1038_s41586-023-06952-2