Evidence map›Paper›PMID 35010656›Full record

ArticleInternational journal of environmental research and public health2021

Political Decision Making in the COVID-19 Pandemic: The Case of Germany from the Perspective of Risk Management.

Frank Daumann, Florian Follert, Werner Gleißner, Endre Kamarás, Chantal Naumann

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Public Health Decision Making in the Case of the Use of a Nuclear Weapon.International journal of environmental research and public health · 2022
    Article
  5. A Longitudinal Study on Loneliness during the COVID-19 Pandemic in Japan.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

5 authors.

Frank DaumannFaculty of Social and Behavioural Sciences, Friedrich Schiller University Jena, 07743 Jena, Germany.ORCID 0000-0001-8649-8695
Florian FollertFaculty of Management, Seeburg Castle University, 5201 Seekirchen, Austria.ORCID 0000-0002-6253-9322
Werner GleißnerFaculty of Business and Economics, Technical University Dresden, 01069 Dresden, Germany.ORCID 0000-0002-6246-7840
Endre KamarásFutureValue Group AG, 70771 Leinfelden-Echterdingen, Germany.
Chantal NaumannDornbach GmbH, 66113 Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic is permanently changing modern social and economic coexistence. Most governments have declared infection control to be their top priority while citizens face great restrictions on their civil rights. A pandemic is an exemplary scenario in which political actors must decide about future, and thus uncertain, events. This paper tries to present a tool well established in the field of entrepreneurial and management decision making which could also be a first benchmark for political decisions. Our approach builds on the standard epidemiological SEIR model in combination with simulation techniques used in risk management. By our case study we want to demonstrate the opportunities that risk management techniques, especially risk analyses using Monte Carlo simulation, can provide to policy makers in general, and in a public health crisis in particular. Hence, our case study can be used as a framework for political decision making under incomplete information and uncertainty. Overall, we want to point out that a health policy that aims to provide comprehensive protection against infection should also be based on economic criteria. This is without prejudice to the integration of ethical considerations in the final political decision.

Indexed as

COVID-19PandemicsDecision MakingGermanyHumansRisk ManagementSARS-CoV-2Uncertaintyapplied economicsbusiness economicsCOVID-19decision makinghealth economicshealth policypublic choicepublic healthrisk managementsimulationuncertainty

Identifiers

PMID35010656
PMCPMC8744640

What OpenQuestion holds

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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.