Measuring the scientific effectiveness of contact tracing Evidence from a natural experiment

Contact tracing has for decades been a cornerstone of the public health approach to epidemics, including Ebola, severe acute respiratory syndrome, and now COVID-19. It has not yet been possible, however, to causally assess the method’s effectiveness using a randomized controlled trial of the sort fa...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the National Academy of Sciences - PNAS Vol. 118; no. 33; pp. 1 - 4
Main Authors Fetzer, Thiemo, Graeber, Thomas
Format Journal Article
LanguageEnglish
Published Washington National Academy of Sciences 17.08.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Contact tracing has for decades been a cornerstone of the public health approach to epidemics, including Ebola, severe acute respiratory syndrome, and now COVID-19. It has not yet been possible, however, to causally assess the method’s effectiveness using a randomized controlled trial of the sort familiar throughout other areas of science. This study provides evidence that comes close to that ideal. It exploits a large-scale natural experiment that occurred by accident in England in late September 2020. Because of a coding error involving spreadsheet data used by the health authorities, a total of 15,841 COVID-19 cases (around 20% of all cases) failed to have timely contact tracing. By chance, some areas of England were much more severely affected than others. This study finds that the random breakdown of contact tracing led to more illness and death. Conservative causal estimates imply that, relative to cases that were initially missed by the contact tracing system, cases subject to proper contact tracing were associated with a reduction in subsequent new infections of 63% and a reduction insubsequent COVID-19–related deaths of 66% across the 6 wk following the data glitch.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Edited by Alan Hastings, University of California, Davis, CA, and approved May 25, 2021 (received for review January 14, 2021)
Author contributions: T.F. and T.G. designed research, performed research, analyzed data, and wrote the paper.
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.2100814118