Evidence map›Paper›PMID 35761378›Full record

ArticleHealth research policy and systems2022

The predictors of COVID-19 mortality among health systems parameters: an ecological study across 203 countries.

Sutapa Bandyopadhyay Neogi, Shivam Pandey, G S Preetha, Sumant Swain

Open access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

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  10. Variation in Global Policy Responses to COVID-19: A Bidirectional Analysis.International journal of environmental research and public health · 2023
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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 at 2 institutions in 1 country.

Sutapa Bandyopadhyay NeogiInternational Institute of Health Management Research (IIHMR), Plot 3, Sector 18A, Dwarka, New Delhi, 110 075, India. sutapa@iihmrdelhi.edu.in.ORCID http://orcid.org/0000-0002-2173-966X
Shivam PandeyDepartment of Biostatistics, All India Institute of Medical Science (A.I.I.M.S), New Delhi, India.
G S PreethaInternational Institute of Health Management Research (IIHMR), Plot 3, Sector 18A, Dwarka, New Delhi, 110 075, India.
Sumant SwainInternational Institute of Health Management Research (IIHMR), Plot 3, Sector 18A, Dwarka, New Delhi, 110 075, India.
IIHMR University · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth systems responsiveness is the key to addressing infectious disease threats such as pandemics. The paper outlines an assessment of health systems resilience by exploring the association of health systems and Global Health Security (GHS) parameters with case load and mortality resulting from COVID-19 across 203 countries using an ecological design. METHODOLOGY: Correlation analysis was performed to assess the relationship of each of the indicators with COVID 19 cases and deaths per million population. Stepwise multiple regression models were developed to determine the predictors of COVID-19 cumulative cases and deaths per million population separately.

resultsGlobal health security indicators seemed to have a strong association when analyzed individually but those did not necessarily translate into less burden of cases or deaths in the multivariable analysis. The predictors of cumulative deaths per million population included general government expenditure on health as a proportion of general government expenditure, responsiveness of the system to prevent the emergence and release of pathogens and governance related voice and accountability.

conclusionTo conclude, health financing parameters and preventive activities with regard to emergence of pathogens were better predictors of cumulative COVID-19 cases and deaths per million population compared to other health systems and global health security indicators.

Indexed as

Communicable DiseasesCOVID-19Global HealthHumansPandemicsSARS-CoV-2COVIDGlobal health securityHealth expenditureHealth systemsResilience

Identifiers

PMID35761378
PMCPMC9235072
OpenAlexW4283574974

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.