Evidence map›Paper›PMID 36061136›Full record

ArticlePublic health in practice (Oxford, England)2022

Exploring the relationship between national governance indicators and speed of initial government response to COVID-19 in low- and middle-income countries.

Ahimza Nagasivam, Robert Fryatt, Midori de Habich, Benjamin Johns

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 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

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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.

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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.

Ahimza NagasivamSchool of Public Health, Health Education England, 4 Stewart House, 32 Russell Square, Bloomsbury, London, WC1B 5DN, UK.
Robert FryattAbt Associates, Rockville, MD, 20852, USA.
Midori de HabichAbt Associates, Rockville, MD, 20852, USA.
Benjamin JohnsAbt Associates, Rockville, MD, 20852, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to explore the relationship between national governance and country response to the COVID-19 pandemic in low- and middle-income countries, to support preparedness for the next pandemic. We conducted a statistical analysis of 116 countries, examining the relationship between speed of initial response and measures of national governance. Study design: Observational study, with individual countries as the unit of analysis. Methods: We used logistic regression to look for associations between quicker initial government response and four national governance indicators: Government Effectiveness, Political Stability and Absence of Violence/Terrorism, Voice and Accountability, and Corruption Perceptions Index. Results: A quicker initial government response was associated with countries with higher Government Effectiveness (OR 13.92 95% CI 3.69-52.48, p < 0.001) and lower Political Stability and Absence of Violence/Terrorism (OR 0.23, 95% CI 0.09-0.57, p = 0.002). There was no relationship observed between speed of initial government response and Voice and Accountability or Corruption Perceptions Index. Other factors associated with quicker initial response were small population size, experiencing first COVID-19 case after the pandemic declaration, not having previous experience with SARS-CoV1 or MERS and not being an island nation. Conclusions: This study shows that having higher state policy and implementation capacity, and lower political stability was associated with a quicker initial pandemic response. Limitations of this study include the use of crude national level indicators and broad categorisations of countries into quicker and slower responders. Deeper enquiry into the early decision-making processes taken at the national executive level within individual countries may help clarify the observed associations further.

Indexed as

COVID-19Low- and middle-income countriesNational governance

Identifiers

PMID36061136
PMCPMC9420690

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LicenceCC BY-NC-ND
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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.