Evidence map›Paper›PMID 40479186›Full record

ArticleChinese political science review2022

Can the Regime Type (Democracy versus Autocracy) Explain the COVID-19 Recovery Rates?

Yuval Arbel, Yifat Arbel, Amichai Kerner, Miryam Kerner

Abstract read
In one paragraph

Article in Chinese political science review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. What is the optimal country for minimum COVID-19 morbidity and mortality rates?Environmental science and pollution research international · 2023
    Article
  2. The CCP, Campaign Governance and COVID-19: Evidence from Shanghai.Journal of Chinese political science · 2022
    Article
  3. Article
  4. 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

4 authors.

Yuval Arbel *Sir Harry Solomon School of Economics and Management, Western Galilee College, 2412101 Acre, Israel.ORCID 0000-0003-4365-6280
Yifat Arbel *Department of Financial Mathematics, Bar Ilan University, 5290002 Ramat Gan, Israel.
Amichai Kerner *Amichai KernerSchool of Real Estate, Netanya Academic College, 1 University Street, 4223587 Netanya, Israel.
Miryam Kerner *The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is an example of worldwide and unanticipated global crisis. This study provides an example of crisis management in different countries and regime types. Previous studies provide evidence supporting reduced infant mortality as well as increased life expectancy with higher levels of democracy. These findings lead to the conventional wisdom that democracies provide conditions that promote better health for their citizens. The current study seeks to investigate health-democracy relationship in the context of recovery from COVID-19 disease. Unlike the conventional wisdom and based on 169 countries and regions around the world, for which information regarding accumulated recovery rates from coronavirus and Freedom House measures of democracy are available, findings suggest better projected prospects of recovery from COVID-19 disease in more "autocratic" countries. These findings may be explained on the grounds of (1) inefficient law enforcement in more democratic countries and (2) stronger autoimmune response (a cytokine storm, associated with COVID-19 severity) in Western countries due to excessive hygienic environmental conditions and, consequently, lack of exposure to different pathogens.

Indexed as

COVID-19DemocracyFreedom house measuresLife expectancy

Identifiers

PMID40479186
PMCPMC9181934

What OpenQuestion holds

Textmetadata
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.