Cargando…
Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020
BACKGROUND: The 2020 COVID-19 pandemic led to a strict lockdown in France from March 17 to May 11, 2020. After the lockdown, the French strategy to mitigate the impact of SARS-CoV-2 relied partly on investigations of all confirmed cases. Monitoring collective settings is particularly important since...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493733/ https://www.ncbi.nlm.nih.gov/pubmed/34715427 http://dx.doi.org/10.1016/j.jiph.2021.10.001 |
_version_ | 1784579177410723840 |
---|---|
author | Deslandes, Antoine Calba, Clémentine Mahdjoub, Sarah Zhu-Soubise, Aurélien Mathey, Damian Ardoin, Alexis |
author_facet | Deslandes, Antoine Calba, Clémentine Mahdjoub, Sarah Zhu-Soubise, Aurélien Mathey, Damian Ardoin, Alexis |
author_sort | Deslandes, Antoine |
collection | PubMed |
description | BACKGROUND: The 2020 COVID-19 pandemic led to a strict lockdown in France from March 17 to May 11, 2020. After the lockdown, the French strategy to mitigate the impact of SARS-CoV-2 relied partly on investigations of all confirmed cases. Monitoring collective settings is particularly important since SARS-CoV-2 seems prone to superspreading events (SSEs). METHODS: Our study is based on data gathered in Paris from May 11 to December 31, 2020, by the Ile-de-France Regional Health Agency (RHA) to investigate cases occurring in collective and high-risk settings. Specific events in high-risk settings were systematically transmitted to the RHA, and screenings were organized by the facilities, while other settings were reported when three cases were identified within a short period. These settings were more difficult to identify through the surveillance system since no systematic screening was organized by the facility, leaving screenings to rely on the national contact-tracing programme. No official superspreading threshold has been set for SARS-CoV-2. We defined a SSE as an event involving ten cases. RESULTS: We analysed 15,706 events associated with 38,670 cases, representing an average of 2.70 cases per event. Most clusters occurred in educational facilities, workplace environments, social care settings, and healthcare facilities. SSEs represented 3.4% but accounted for 28% of all cases reported. The highest number of SSEs occurred in college settings (12.6%), followed by hospitals and retirement homes. Educational facilities had the lowest number of SSEs, with around 1% in preschools and elementary schools. CONCLUSIONS: We observed different SSE rates in each setting. Preschools and primary schools represented the majority of events but experiencing very few SSEs. Colleges were prone to SSEs and were associated with a high number of secondary cases. These findings provide some insights on contact tracing activities and SARS-CoV-2 transmission in different settings. |
format | Online Article Text |
id | pubmed-8493733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84937332021-10-06 Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020 Deslandes, Antoine Calba, Clémentine Mahdjoub, Sarah Zhu-Soubise, Aurélien Mathey, Damian Ardoin, Alexis J Infect Public Health Article BACKGROUND: The 2020 COVID-19 pandemic led to a strict lockdown in France from March 17 to May 11, 2020. After the lockdown, the French strategy to mitigate the impact of SARS-CoV-2 relied partly on investigations of all confirmed cases. Monitoring collective settings is particularly important since SARS-CoV-2 seems prone to superspreading events (SSEs). METHODS: Our study is based on data gathered in Paris from May 11 to December 31, 2020, by the Ile-de-France Regional Health Agency (RHA) to investigate cases occurring in collective and high-risk settings. Specific events in high-risk settings were systematically transmitted to the RHA, and screenings were organized by the facilities, while other settings were reported when three cases were identified within a short period. These settings were more difficult to identify through the surveillance system since no systematic screening was organized by the facility, leaving screenings to rely on the national contact-tracing programme. No official superspreading threshold has been set for SARS-CoV-2. We defined a SSE as an event involving ten cases. RESULTS: We analysed 15,706 events associated with 38,670 cases, representing an average of 2.70 cases per event. Most clusters occurred in educational facilities, workplace environments, social care settings, and healthcare facilities. SSEs represented 3.4% but accounted for 28% of all cases reported. The highest number of SSEs occurred in college settings (12.6%), followed by hospitals and retirement homes. Educational facilities had the lowest number of SSEs, with around 1% in preschools and elementary schools. CONCLUSIONS: We observed different SSE rates in each setting. Preschools and primary schools represented the majority of events but experiencing very few SSEs. Colleges were prone to SSEs and were associated with a high number of secondary cases. These findings provide some insights on contact tracing activities and SARS-CoV-2 transmission in different settings. The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2021-11 2021-10-06 /pmc/articles/PMC8493733/ /pubmed/34715427 http://dx.doi.org/10.1016/j.jiph.2021.10.001 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Deslandes, Antoine Calba, Clémentine Mahdjoub, Sarah Zhu-Soubise, Aurélien Mathey, Damian Ardoin, Alexis Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020 |
title | Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020 |
title_full | Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020 |
title_fullStr | Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020 |
title_full_unstemmed | Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020 |
title_short | Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020 |
title_sort | superspreading events of sars-cov-2 in paris: a retrospective analysis of data from the first wave of covid-19 in 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493733/ https://www.ncbi.nlm.nih.gov/pubmed/34715427 http://dx.doi.org/10.1016/j.jiph.2021.10.001 |
work_keys_str_mv | AT deslandesantoine superspreadingeventsofsarscov2inparisaretrospectiveanalysisofdatafromthefirstwaveofcovid19in2020 AT calbaclementine superspreadingeventsofsarscov2inparisaretrospectiveanalysisofdatafromthefirstwaveofcovid19in2020 AT mahdjoubsarah superspreadingeventsofsarscov2inparisaretrospectiveanalysisofdatafromthefirstwaveofcovid19in2020 AT zhusoubiseaurelien superspreadingeventsofsarscov2inparisaretrospectiveanalysisofdatafromthefirstwaveofcovid19in2020 AT matheydamian superspreadingeventsofsarscov2inparisaretrospectiveanalysisofdatafromthefirstwaveofcovid19in2020 AT ardoinalexis superspreadingeventsofsarscov2inparisaretrospectiveanalysisofdatafromthefirstwaveofcovid19in2020 |