Participant flow diagram PHS Amsterdam datasets.

The Dutch government introduced the CoronaMelder smartphone application for digital contact tracing (DCT) to complement manual contact tracing (MCT) by Public Health Services (PHS) during the 2020–2022 SARS-CoV-2 epidemic. Modelling studies showed great potential but empirical evidence of DCT and MCT impact is scarce. We determined reasons for testing, and mean exposure-testing intervals by reason for testing, using routine data from PHS Amsterdam (1 December 2020 to 31 May 2021) and data from two SARS-CoV-2 rapid diagnostic test accuracy studies at other PHS sites in the Netherlands (14 Decem... Mehr ...

Verfasser: Wianne Ter Haar
Jizzo Bosdriesz
Roderick P. Venekamp
Ewoud Schuit
Susan van den Hof
Wolfgang Ebbers
Mirjam Kretzschmar
Jan Kluijtmans
Carl Moons
Maarten Schim van der Loeff
Amy Matser
Janneke H. H. M. van de Wijgert
Dokumenttyp: Text
Erscheinungsdatum: 2023
Schlagwörter: Medicine / Neuroscience / Biotechnology / Evolutionary Biology / Sociology / Cancer / Mental Health / Infectious Diseases / yet widely available / tests took place / public health services / dutch government introduced / coronamelder smartphone application / app use coverage / 31 may 2021 / 2020 &# 8211 / 20 &# 8211 / 14 december 2020 / 1 december 2020 / manual contact tracing / 2 &# 8211 / using routine data / commonly reported reason / digital contact tracing / via phs contact / digital notification process / dct impact might / around 2 / 2 epidemic / xlink \ / > / test request / test positivity / test intervals / study periods / significantly lower / phs sites / phs amsterdam / minimise delays / index case / identified contacts / epidemiological impact / empirical evidence / dct notification / data suggest / asymptomatic individuals
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-27064270
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1371/journal.pdig.0000396.s005

The Dutch government introduced the CoronaMelder smartphone application for digital contact tracing (DCT) to complement manual contact tracing (MCT) by Public Health Services (PHS) during the 2020–2022 SARS-CoV-2 epidemic. Modelling studies showed great potential but empirical evidence of DCT and MCT impact is scarce. We determined reasons for testing, and mean exposure-testing intervals by reason for testing, using routine data from PHS Amsterdam (1 December 2020 to 31 May 2021) and data from two SARS-CoV-2 rapid diagnostic test accuracy studies at other PHS sites in the Netherlands (14 December 2020 to 18 June 2021). Throughout the study periods, notification of DCT-identified contacts was via PHS contact-tracers, and self-testing was not yet widely available. The most commonly reported reason for testing was having symptoms. In asymptomatic individuals, it was having been warned by an index case. Only around 2% and 2–5% of all tests took place after DCT or MCT notification, respectively. About 20–36% of those who had received a DCT or MCT notification had symptoms at the time of test request. Test positivity after a DCT notification was significantly lower, and exposure-test intervals after a DCT or MCT notification were longer, than for the above-mentioned other reasons for testing. Our data suggest that the impact of DCT and MCT on the SARS-CoV-2 epidemic in the Netherlands was limited. However, DCT impact might be enlarged if app use coverage is improved, contact-tracers are eliminated from the digital notification process to minimise delays, and DCT is combined with self-testing.