Evidence map›Paper›PMID 36376856›Full record

Observational studyBMC public health2022

Participatory disease surveillance for a mass gathering - a prospective cohort study on COVID-19, Germany 2021.

Nils Hohmuth, Ifrah Khanyaree, Anna-Lena Lang, Ohad Duering, Stefan Konigorski, Vukašin Višković, Tobias Heising, Friedemann Egender, Cornelius Remschmidt, Rasmus Leistner

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Lessons Learned from In-Person Conferences in the Times of COVID-19.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nils HohmuthData4Life gGmbH, Charlottenstraße 13, 10969, Berlin, Germany. nils.hohmuth@data4life.care.
Ifrah KhanyareeData4Life gGmbH, Charlottenstraße 13, 10969, Berlin, Germany.
Anna-Lena LangData4Life gGmbH, Charlottenstraße 13, 10969, Berlin, Germany.
Ohad DueringData4Life gGmbH, Charlottenstraße 13, 10969, Berlin, Germany.
Stefan KonigorskiDigital Health Center, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
Vukašin ViškovićData4Life gGmbH, Charlottenstraße 13, 10969, Berlin, Germany.
Tobias HeisingMedizinisches Versorgungszentrum Bohmte, Bremer Str. 37, 49163, Bohmte, Germany.
Friedemann EgenderMedizinische Klinik für Nephrologie und Intensivmedizin, Charité University Medicine Berlin, Campus Virchow, Berlin, Germany.
Cornelius Remschmidt *Data4Life gGmbH, Charlottenstraße 13, 10969, Berlin, Germany.
Rasmus Leistner *Medizinische Klinik für Gastroenterologie-, Infektiologie-, und Rheumatologie, Charité University Medicine Berlin, Campus Benjamin Franklin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMass gatherings (MGs) such as music festivals and sports events 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 MGs. We tested a web-based participatory disease surveillance tool to detect COVID-19 infections at and after an outdoor MG by collecting self-reported COVID-19 symptoms and tests.

methodsWe conducted a digital prospective observational cohort study among fully immunized attendees of a sports festival that took place from September 2 to 5, 2021 in Saxony-Anhalt, 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 for the full "study period" (08/12/2021 - 10/31/2021) and within the 14-day "surveillance period" during and after the MG, with the highest likelihood of an MG-related COVID-19 outbreak (09/04/2021 - 09/17/2021).

resultsA total of 2,808 of 9,242 (30.4%) event attendees participated in the study. Within the study period, 776 individual symptoms and 5,255 COVID-19 tests were reported. During the 14-day surveillance period around and after the MG, seven probable and seven PCR-confirmed COVID-19 cases were detected. The confirmed cases translated to an estimated seven-day incidence of 125 per 100,000 participants (95% CI [67.7/100,000, 223/100,000]), which was comparable to the average age-matched incidence in Germany during this time. Overall, weekly numbers of COVID-19 cases were fluctuating over the study period, with another increase at the end of the study period.

conclusionCOVID-19 cases attributable to the mass gathering were comparable to the Germany-wide age-matched incidence, implicating that our active participatory disease surveillance tool was able to detect MG-related infections. Further studies are needed to evaluate and apply our participatory disease surveillance tool in other mass gathering settings.

Indexed as

COVID-19GermanyHumansMass GatheringsProspective StudiesSARS-CoV-2CoronavirusCOVID-19EpidemiologyInfectious diseasesMass gatheringMobile appParticipatory disease surveillanceSARS-CoV-2Syndromic surveillanceWeb application

Identifiers

PMID36376856
PMCPMC9660174

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.