Cargando…

Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth

INTRODUCTION: Mass gatherings have been associated with a high risk of SARS-CoV-2 transmission. On-site research can foster knowledge of risk factors for infections and improve risk assessments and precautionary measures at future events. We tested a web-based participatory disease surveillance tool...

Descripción completa

Detalles Bibliográficos
Autores principales: Hohmuth, N, Lang, A-L, Remschmidt, C, Leistner, R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594264/
http://dx.doi.org/10.1093/eurpub/ckac131.561
_version_ 1784815371426988032
author Hohmuth, N
Lang, A-L
Remschmidt, C
Leistner, R
author_facet Hohmuth, N
Lang, A-L
Remschmidt, C
Leistner, R
author_sort Hohmuth, N
collection PubMed
description INTRODUCTION: Mass gatherings have been associated with a high risk of SARS-CoV-2 transmission. On-site research can foster knowledge of risk factors for infections and improve risk assessments and precautionary measures at future events. We tested a web-based participatory disease surveillance tool to detect COVID-19 infections at and after an outdoor mass gathering by collecting self-reported COVID-19 symptoms and tests. METHODS: We conducted a digital prospective observational cohort study among fully immunized attendees of a sports event that took place from September 2 to 5, 2021 in Thuringia, Germany. Participants used our study app to report demographic data, COVID-19 tests, symptoms, and their contact behavior. This self-reported data was used to define probable and confirmed COVID-19 cases during the full “study period” (08/12/2021 - 10/31/2021) and within the 14-day “surveillance period” during and after the event, in which the highest likelihood of an event related COVID-19 outbreak could be expected (09/04/2021 - 09/17/2021). RESULTS: A total of 2,808 of 9,242 (30.4%) event attendees participated in the study. During the study period, 776 symptoms and 5,255 COVID-19 tests were reported in the study app. During the surveillance period, seven PCR positive COVID-19 cases were found to be associated with the event. This translated to an estimated seven-day incidence of ∼125/100,000 cases (95% CI [67.7/100,000, 223/100,000]), which was comparable to the average age-matched incidence in Germany during this time (118.3/100,000). CONCLUSIONS: COVID-19 cases attributable to the mass gathering were comparable to the German-wide age-matched incidence, implicating that our active participatory surveillance tool was able to detect mass gathering related infections. Further studies are needed to evaluate and apply our participatory disease surveillance tool in other mass gathering settings. KEY MESSAGES: • Our digital COVID-19 surveillance tool for mass gathering events was easy to implement within the organizational structure of the event and well accepted amongst event attendees. • Our active participatory surveillance tool was able to detect mass gathering related infections comparable to the Germany-wide incidence.
format Online
Article
Text
id pubmed-9594264
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-95942642022-11-04 Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth Hohmuth, N Lang, A-L Remschmidt, C Leistner, R Eur J Public Health Poster Displays INTRODUCTION: Mass gatherings have been associated with a high risk of SARS-CoV-2 transmission. On-site research can foster knowledge of risk factors for infections and improve risk assessments and precautionary measures at future events. We tested a web-based participatory disease surveillance tool to detect COVID-19 infections at and after an outdoor mass gathering by collecting self-reported COVID-19 symptoms and tests. METHODS: We conducted a digital prospective observational cohort study among fully immunized attendees of a sports event that took place from September 2 to 5, 2021 in Thuringia, Germany. Participants used our study app to report demographic data, COVID-19 tests, symptoms, and their contact behavior. This self-reported data was used to define probable and confirmed COVID-19 cases during the full “study period” (08/12/2021 - 10/31/2021) and within the 14-day “surveillance period” during and after the event, in which the highest likelihood of an event related COVID-19 outbreak could be expected (09/04/2021 - 09/17/2021). RESULTS: A total of 2,808 of 9,242 (30.4%) event attendees participated in the study. During the study period, 776 symptoms and 5,255 COVID-19 tests were reported in the study app. During the surveillance period, seven PCR positive COVID-19 cases were found to be associated with the event. This translated to an estimated seven-day incidence of ∼125/100,000 cases (95% CI [67.7/100,000, 223/100,000]), which was comparable to the average age-matched incidence in Germany during this time (118.3/100,000). CONCLUSIONS: COVID-19 cases attributable to the mass gathering were comparable to the German-wide age-matched incidence, implicating that our active participatory surveillance tool was able to detect mass gathering related infections. Further studies are needed to evaluate and apply our participatory disease surveillance tool in other mass gathering settings. KEY MESSAGES: • Our digital COVID-19 surveillance tool for mass gathering events was easy to implement within the organizational structure of the event and well accepted amongst event attendees. • Our active participatory surveillance tool was able to detect mass gathering related infections comparable to the Germany-wide incidence. Oxford University Press 2022-10-25 /pmc/articles/PMC9594264/ http://dx.doi.org/10.1093/eurpub/ckac131.561 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 Displays
Hohmuth, N
Lang, A-L
Remschmidt, C
Leistner, R
Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth
title Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth
title_full Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth
title_fullStr Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth
title_full_unstemmed Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth
title_short Digital COVID-19 surveillance tool for a mass gathering event - a prospective cohort study: Nils Hohmuth
title_sort digital covid-19 surveillance tool for a mass gathering event - a prospective cohort study: nils hohmuth
topic Poster Displays
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594264/
http://dx.doi.org/10.1093/eurpub/ckac131.561
work_keys_str_mv AT hohmuthn digitalcovid19surveillancetoolforamassgatheringeventaprospectivecohortstudynilshohmuth
AT langal digitalcovid19surveillancetoolforamassgatheringeventaprospectivecohortstudynilshohmuth
AT remschmidtc digitalcovid19surveillancetoolforamassgatheringeventaprospectivecohortstudynilshohmuth
AT leistnerr digitalcovid19surveillancetoolforamassgatheringeventaprospectivecohortstudynilshohmuth