Evidence map›Paper›PMID 39174033›Full record

ArticleEmerging infectious diseases2024

Participatory, Virologic, and Wastewater Surveillance Data to Assess Underestimation of COVID-19 Incidence, Germany, 2020-2024.

Anna Loenenbach, Ann-Sophie Lehfeld, Peter Puetz, Barbara Biere, Susan Abunijela, Silke Buda, Michaela Diercke, Ralf Dürrwald, Timo Greiner, Walter Haas and 5 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. 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

15 authors.

Anna Loenenbach
Ann-Sophie Lehfeld
Peter Puetz
Barbara Biere
Susan Abunijela
Silke Buda
Michaela Diercke
Ralf Dürrwald
Timo Greiner
Walter Haas
Maria Helmrich
Kerstin Prahm
Jakob Schumacher
Marianne Wedde
Udo Buchholz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using participatory, virologic, and wastewater surveillance systems, we estimated when and to what extent reported data of adult COVID-19 cases underestimated COVID-19 incidence in Germany. We also examined how case underestimation evolved over time. Our findings highlight how community-based surveillance systems can complement official notification systems for respiratory disease dynamics.

Indexed as

COVID-19SARS-CoV-2WastewaterAdultGermanyHumansIncidencePopulation SurveillanceWastewater-Based Epidemiological MonitoringWastewatercoronaviruscoronavirus diseaseCOVID-19Germanyincidence of notified casespandemic public health and social measuresparticipatory surveillancerespiratory infectionsSARSSARS-CoV-2severe acute respiratory syndrome coronavirus 2viruseswastewater surveillancezoonoses

Identifiers

PMID39174033
PMCPMC11346976

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.