|
Title
|
|
|
|
Key performance indicators of COVID-19 contact tracing in Belgium from September 2020 to December 2021
| |
|
Author
|
|
|
|
| |
|
Abstract
|
|
|
|
| The goal of tracing, testing, and quarantining contacts of infected individuals is to contain the spread of infectious diseases, a strategy widely used during the COVID-19 pandemic. However, limited research exists on the effectiveness of contact tracing, especially with regard to key performance indicators (KPIs), such as the proportion of cases arising from previously identified contacts. In our study, we analyzed contact tracing data from Belgium collected between September 2020 and December 2021 to assess the impact of contact tracing on SARS-CoV-2 transmission and understand its characteristics. Among confirmed cases involved in contact tracing in the Flemish and Brussels-Capital regions, 19.1% were previously identified as close contacts and were aware of prior exposure. These cases, referred to as 'known' to contact tracing operators, reported on average fewer close contacts compared to newly identified individuals (0.80 versus 1.05), resulting in fewer secondary cases (0.23 versus 0.28). Additionally, we calculated the secondary attack rate, representing infections per contact, which was on average lower for the 'known' cases (0.22 versus 0.25) between December 2020 and August 2021. These findings indicate the effectiveness of contact tracing in Belgium in reducing SARS-CoV-2 transmission. Although we were unable to quantify the exact number of prevented cases, our findings emphasize the importance of contact tracing as a public health measure. In addition, contact tracing data provide indications of potential shifts in transmission patterns among different age groups associated with emerging variants of concern and increasing vaccination rates. |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
PLoS ONE
| |
|
Publication
|
|
|
|
2023
| |
|
ISSN
|
|
|
|
1932-6203
| |
|
DOI
|
|
|
|
10.1371/JOURNAL.PONE.0292346
| |
|
Volume/pages
|
|
|
|
18
:10
(2023)
, p. 1-15
| |
|
Article Reference
|
|
|
|
e0292346
| |
|
ISI
|
|
|
|
001099217100065
| |
|
Pubmed ID
|
|
|
|
37862313
| |
|
Medium
|
|
|
|
E-only publicatie
| |
|
Full text (Publisher's DOI)
|
|
|
|
| |
|
Full text (open access)
|
|
|
|
| |
|