Evidence map›Paper›PMID 34258629›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2021

[Epidemiological approaches to address key research questions on COVID-19-an overview].

Hajo Zeeb, Wolfgang Ahrens, Ulrike Haug, Linus Grabenhenrich, Iris Pigeot

Abstract readReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2021. 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. [The contribution of epidemiological models to the description of the outbreak of the COVID-19 pandemic].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2021
    Review
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

5 authors.

Hajo ZeebLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland. zeeb@leibniz-bips.de.
Wolfgang AhrensLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.
Ulrike HaugLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.
Linus GrabenhenrichAbteilung Methodenentwicklung und Forschungsinfrastruktur (MF), Robert Koch-Institut, Berlin, Deutschland.
Iris PigeotLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiology as a scientific discipline is predestined to address key problems in the COVID-19 pandemic. In order to do so, classic and new methods are used, and new challenges are emerging.This paper addresses the various phases of the population-based progression of SARS-CoV‑2 infection and COVID-19. Based on a selective literature search, sample questions from studies conducted in Germany and internationally are presented, their respective epidemiological approaches discussed, and research gaps described.Scientific questions to be answered with epidemiological data and research approaches arise in every phase of infection and disease. Descriptive data are often generated via (repeated) cross-sectional studies. For analytical questions, such as the identification of risk groups, case-control studies could have provided valuable results, especially in the early phase of the pandemic, but were rarely conducted. Data from health insurance companies have an important function in the analysis of the course of disease; however, the potential of this data source with regard to questions on vaccination can probably hardly be used. Improved coordination of the various studies and a more "open data" oriented research infrastructure can further strengthen the contribution of epidemiology to the control of the current and future pandemics.

Indexed as

COVID-19PandemicsCross-Sectional StudiesGermanyHumansEpidemiologyPandemicResearch needsStudy designs

Identifiers

PMID34258629
PMCPMC8276842

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.