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Cross-country evidence on the association between contact tracing and COVID-19 case fatality rates.
- Source :
-
Scientific reports [Sci Rep] 2021 Jan 25; Vol. 11 (1), pp. 2145. Date of Electronic Publication: 2021 Jan 25. - Publication Year :
- 2021
-
Abstract
- The coronavirus disease (COVID-19) outbreak has killed over a million people since its emergence in late 2019. However, there has been substantial variability in the policies and intensity of diagnostic efforts between countries. In this paper, we quantitatively evaluate the association between national contact tracing policies and case fatality rates of COVID-19 in 138 countries. Our regression analyses indicate that countries that implement comprehensive contact tracing have significantly lower case fatality rates. This association of contact tracing policy and case fatality rates is robust in our longitudinal regression models, even after controlling for the number of tests conducted and non-pharmaceutical control measures adopted by governments. Our results suggest that comprehensive contact tracing is instrumental not only to curtailing transmission but also to reducing case fatality rates. Contact tracing achieves the early detection and isolation of secondary cases which are particularly important given that the peak in infectiousness occurs during the presymptomatic phase. The early detection achieved by contact tracing accelerates the rate at which infected individuals receive medical care they need to maximize their chance of recovery. In addition, the combination of reduced transmission and more rapid recovery diminishes the burden on the healthcare system which in turn ensures that the resources remain available for individuals who do become infected.
- Subjects :
- COVID-19 diagnosis
COVID-19 prevention & control
COVID-19 virology
COVID-19 Testing statistics & numerical data
Humans
Pandemics statistics & numerical data
SARS-CoV-2 pathogenicity
COVID-19 mortality
Contact Tracing statistics & numerical data
Global Health statistics & numerical data
Pandemics prevention & control
Public Policy
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 33495491
- Full Text :
- https://doi.org/10.1038/s41598-020-78760-x