Evidence map›Paper›PMID 37415196›Full record

ArticleGlobalization and health2023

The role of universal health coverage and global health security nexus and interplay on SARS-CoV-2 infection and case-fatality rates in Africa : a structural equation modeling approach.

Sibhatu Biadgilign, Alemayehu Hailu, Bereket Gebremichael, Mekitew Letebo, Etsub Berhanesilassie, Arega Shumetie

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Article in Globalization and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sibhatu BiadgilignIndependent Public Health Analyst and Research Consultant, P.O.BOX 24414, Addis Ababa, Ethiopia. sibhatu2010@gmail.com.ORCID 0000-0002-7582-5977
Alemayehu HailuDepartment of Global Public Health and Primary Care Medicine, Bergen Center for Ethics and Priority Setting, The University of Bergen, Bergen, Norway.
Bereket GebremichaelCollege of Health Science, Addis Ababa University, Addis Ababa, Ethiopia.
Mekitew LeteboIndependent Public Health Analyst and Research Consultant, P.O.BOX 24414, Addis Ababa, Ethiopia.
Etsub BerhanesilassieIndependent Public Health Analyst and Research Consultant, P.O.BOX 24414, Addis Ababa, Ethiopia.
Arega ShumetieEthiopian Economics Association, Addis Ababa, Ethiopia.

Funding

This research received no specific grant from any funding agency in public, commercial or not-for-profit sector. This research received no specific grant from any funding agency in public, commercial or not-for-profit sector.
6 · The paper itself

Abstract

backgroundThe Coronavirus Disease (COVID-19) caused by SARS-CoV-2 infections remains a significant health challenge worldwide. There is paucity of evidence on the influence of the universal health coverage (UHC) and global health security (GHS) nexus on SARS-CoV-2 infection risk and outcomes. This study aimed to investigate the effects of UHC and GHS nexus and interplay on SARS-CoV-2 infection rate and case-fatality rates (CFR) in Africa.

methodsThe study employed descriptive methods to analyze the data drawn from multiple sources as well used structural equation modeling (SEM) with maximum likelihood estimation to model and assess the relationships between independent and dependent variables by performing path analysis.

resultsIn Africa, 100% and 18% of the effects of GHS on SARS-CoV-2 infection and RT-PCR CFR, respectively were direct. Increased SARS-CoV-2 CFR was associated with median age of the national population (β = -0.1244, [95% CI: -0.24, -0.01], P = 0.031 ); COVID-19 infection rate (β = -0.370, [95% CI: -0.66, -0.08], P = 0.012 ); and prevalence of obesity among adults aged 18 + years (β = 0.128, [95% CI: 0.06,0.20], P = 0.0001) were statistically significant. SARS-CoV-2 infection rates were strongly linked to median age of the national population (β = 0.118, [95% CI: 0.02,0.22 ], P = 0.024); population density per square kilometer, (β = -0.003, [95% CI: -0.0058, -0.00059], P = 0.016 ) and UHC for service coverage index (β = 0.089, [95% CI: 0.04,0.14, P = 0.001 ) in which their relationship was statistically significant.

conclusionsThe study shade a light that UHC for service coverage, and median age of the national population, population density have significant effect on COVID-19 infection rate while COVID-19 infection rate, median age of the national population and prevalence of obesity among adults aged 18 + years were associated with COVID-19 case-fatality rate. Both, UHC and GHS do not emerge to protect against COVID-19-related case fatality rate.

Indexed as

COVID-19AdolescentAdultAfricaGlobal HealthHumansLatent Class AnalysisObesitySARS-CoV-2Universal Health InsuranceAfricaCase fatality rateGHSInfection rateMortality rateSARS-CoV-2UHC

Identifiers

PMID37415196
PMCPMC10327394

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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.