Cargando…
The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz
BACKGROUND: Testing and Contact Tracing (TCT) was a core strategy in the fight against the spread of SARS-CoV-2. However, little is known about the real-world effectiveness of TCT for COVID-19. Because time is an important conditional factor, we aim to study timeliness of TCT in the Netherlands, and...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619935/ http://dx.doi.org/10.1093/eurpub/ckac130.020 |
_version_ | 1784821299041796096 |
---|---|
author | Bosdriesz, JR den Boogert, EM Dukers-Muijrers, NHTM Götz, HM Goverse, IE Leenstra, T Raven, SFH van Dijken, SKS Wevers, K Matser, AA |
author_facet | Bosdriesz, JR den Boogert, EM Dukers-Muijrers, NHTM Götz, HM Goverse, IE Leenstra, T Raven, SFH van Dijken, SKS Wevers, K Matser, AA |
author_sort | Bosdriesz, JR |
collection | PubMed |
description | BACKGROUND: Testing and Contact Tracing (TCT) was a core strategy in the fight against the spread of SARS-CoV-2. However, little is known about the real-world effectiveness of TCT for COVID-19. Because time is an important conditional factor, we aim to study timeliness of TCT in the Netherlands, and its determinants. METHODS: We used routine COVID-19 TCT registry data from all individuals who tested positive for SARS-CoV-2 at 8 Dutch regional public health services from 1-6-2020 to 28-2-2021 (N = 338,066). We calculated median time intervals of TCT stages. Factors associated with the time between test result and completion of TCT, categorised as ≤ 3 days and >3 days, were assessed using logistic regression adjusting for region, testing site, and laboratory. Potential determinants were: gender, age, country of birth, number of close contacts, working in health-care or education, TCT manpower, and the Oxford Covid-19 Government Response Tracker (OxCGRT). RESULTS: The median time from symptom onset to TCT completion was 6 days (IQR:3-10). Median times between TCT stages were 1 day (IQR:0-3) for symptom onset to test request, 1 day, (IQR:0-1) for test request to sample collection, 1 day, (IQR:1-1) for sample collection to test result, and 2 days (IQR:1-5) for test result to TCT completion. In 31.7% of tests, time between test result and TCT completion was >3 days. This delay was associated with being older (65+), whereas being younger (0-14), a higher OxCGRT, scaling down TCT, and a higher number of TCT employees were associated with a shorter interval. CONCLUSIONS: Over fifty percent of interval times from symptom onset to TCT completion exceeded the median SARS-CoV-2 incubation period of 5 days. There seems to be little room for improvement on the side of the index case, but there are some implications for logistics such as increasing TCT manpower, and better integration of digital systems. KEY MESSAGES: Testing and contact tracing were key elements of fighting the spread of COVID-19, but the potential impact was reduced because >50% of interval times exceed the median SARS-CoV-2 incubation period. The influence of contextual factors shows that stricter government policies, and increasing TCT manpower could help speed up the process of TCT for COVID-19. |
format | Online Article Text |
id | pubmed-9619935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96199352022-11-04 The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz Bosdriesz, JR den Boogert, EM Dukers-Muijrers, NHTM Götz, HM Goverse, IE Leenstra, T Raven, SFH van Dijken, SKS Wevers, K Matser, AA Eur J Public Health Poster Walks BACKGROUND: Testing and Contact Tracing (TCT) was a core strategy in the fight against the spread of SARS-CoV-2. However, little is known about the real-world effectiveness of TCT for COVID-19. Because time is an important conditional factor, we aim to study timeliness of TCT in the Netherlands, and its determinants. METHODS: We used routine COVID-19 TCT registry data from all individuals who tested positive for SARS-CoV-2 at 8 Dutch regional public health services from 1-6-2020 to 28-2-2021 (N = 338,066). We calculated median time intervals of TCT stages. Factors associated with the time between test result and completion of TCT, categorised as ≤ 3 days and >3 days, were assessed using logistic regression adjusting for region, testing site, and laboratory. Potential determinants were: gender, age, country of birth, number of close contacts, working in health-care or education, TCT manpower, and the Oxford Covid-19 Government Response Tracker (OxCGRT). RESULTS: The median time from symptom onset to TCT completion was 6 days (IQR:3-10). Median times between TCT stages were 1 day (IQR:0-3) for symptom onset to test request, 1 day, (IQR:0-1) for test request to sample collection, 1 day, (IQR:1-1) for sample collection to test result, and 2 days (IQR:1-5) for test result to TCT completion. In 31.7% of tests, time between test result and TCT completion was >3 days. This delay was associated with being older (65+), whereas being younger (0-14), a higher OxCGRT, scaling down TCT, and a higher number of TCT employees were associated with a shorter interval. CONCLUSIONS: Over fifty percent of interval times from symptom onset to TCT completion exceeded the median SARS-CoV-2 incubation period of 5 days. There seems to be little room for improvement on the side of the index case, but there are some implications for logistics such as increasing TCT manpower, and better integration of digital systems. KEY MESSAGES: Testing and contact tracing were key elements of fighting the spread of COVID-19, but the potential impact was reduced because >50% of interval times exceed the median SARS-CoV-2 incubation period. The influence of contextual factors shows that stricter government policies, and increasing TCT manpower could help speed up the process of TCT for COVID-19. Oxford University Press 2022-10-25 /pmc/articles/PMC9619935/ http://dx.doi.org/10.1093/eurpub/ckac130.020 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Poster Walks Bosdriesz, JR den Boogert, EM Dukers-Muijrers, NHTM Götz, HM Goverse, IE Leenstra, T Raven, SFH van Dijken, SKS Wevers, K Matser, AA The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz |
title | The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz |
title_full | The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz |
title_fullStr | The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz |
title_full_unstemmed | The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz |
title_short | The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz |
title_sort | timeliness of covid-19 testing and tracing in eight public health regions in the netherlands: jizzo bosdriesz |
topic | Poster Walks |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619935/ http://dx.doi.org/10.1093/eurpub/ckac130.020 |
work_keys_str_mv | AT bosdrieszjr thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT denboogertem thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT dukersmuijrersnhtm thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT gotzhm thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT goverseie thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT leenstrat thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT ravensfh thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT vandijkensks thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT weversk thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT matseraa thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT bosdrieszjr timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT denboogertem timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT dukersmuijrersnhtm timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT gotzhm timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT goverseie timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT leenstrat timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT ravensfh timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT vandijkensks timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT weversk timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz AT matseraa timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz |