Evidence map›Paper›PMID 36554359›Full record

ArticleInternational journal of environmental research and public health2022

Politics in Search of Evidence-The Role of Public Health in the COVID Pandemic in Germany: Protocol for a Situational Analysis.

Julia Piel, Marilena von Köppen, Christian Apfelbacher

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Julia PielInstitute for Social Medicine and Health Systems Research, Medical Faculty, Otto von Guericke University, 39120 Magdeburg, Germany.ORCID 0000-0002-7670-9775
Marilena von KöppenInstitute for Social Medicine and Health Systems Research, Medical Faculty, Otto von Guericke University, 39120 Magdeburg, Germany.ORCID 0000-0003-4606-4803
Christian ApfelbacherInstitute for Social Medicine and Health Systems Research, Medical Faculty, Otto von Guericke University, 39120 Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The protocol presents a research project that explores the relationship between science and politics in the COVID-19 pandemic from the perspective of public health (PH) scientists in Germany with situational analysis (SA). In context of this global crisis, we ask how PH scientists negotiate their roles as scientists and political citizens; how PH scientists perceive the relationship between their own and other scientific disciplines; and which normative assumptions PH scientists make in the production and dissemination of research findings. To conduct SA, we combine qualitative interviews with PH experts and published documents from scientific societies in PH and related disciplines (e.g., position and opinion papers) to analyze the complexity of integrating evidence-based knowledge into politics. Data are analyzed using different SA mapping tools, focusing on social worlds/arena maps and positional maps. The approach will reveal both explicit positions in the PH community and implicit or hidden voices and will reflect normative assumptions as well as internal structures of PH in Germany. The findings will be discussed with the philosophy sub-project and in a stakeholder workshop with politicians and the public. Further insights will be gained for politics and PH responses to future global crises.

Indexed as

COVID-19Public HealthGermanyHumansPandemicsPoliticsCOVID-19evidence-based knowledgepoliticspublic health

Identifiers

PMID36554359
PMCPMC9778467

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Registered trials

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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.