Evidence map›Paper›PMID 35565059›Full record

ArticleInternational journal of environmental research and public health2022

Government Reactions, Citizens' Responses, and COVID-19 around the World.

Jon Reiersen, Manuel Romero-Hernández, Romén Adán-González

Open access · goldAbstract 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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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 at 2 institutions in 2 countries.

Jon ReiersenUSN School of Business, Department of Business, History and Social Sciences, University of South-Eastern Norway, 3679 Borre, Norway.ORCID 0000-0002-9544-7272
Manuel Romero-HernándezUSN School of Business, Department of Business, History and Social Sciences, University of South-Eastern Norway, 3679 Borre, Norway.ORCID 0000-0002-8100-3806
Romén Adán-GonzálezIndependent Researcher, 38001 Santa Cruz de Tenerife, Spain.
Universidad de Las Palmas de Gran Canaria · ESUniversity of South-Eastern Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyze the relationship between different dimensions of the quality of the political system and the outcome of the COVID-19 pandemic. Data are retrieved from open-access databases for 98 countries. We apply a multivariable regression model to identify the relationship between various factors likely to affect the number of COVID-19 deaths, in addition to different dimensions of the quality of the political system. We find that the high quality of the electoral process in a country is associated with more COVID-19 deaths, while good political culture is associated with fewer deaths. As expected, we also find that trust in government and experiences with pandemics in the past is negatively related to COVID-19 deaths. Finally, a high GDP per capita is significantly associated with more COVID-19 deaths. Our findings illustrate that rapid, effective, and comprehensive government measures can protect society from the spread of a virus, but citizen compliance is also essential to policy success.

Indexed as

COVID-19GovernmentHumansPandemicsSARS-CoV-2TrustCOVID-19governancepolitical culturetrust

Identifiers

PMID35565059
PMCPMC9100078
OpenAlexW4229064433

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.