ArticlePloS one2020
Social inequality in infant mortality in Angola: Evidence from a population based study.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Determinants of Neonatal Mortality at a Referral Paediatric Hospital in Angola: A Case-Control Study Using Theoretical Frameworks.International journal of environmental research and public health · 2024Article
- Association between maternal and child health care and neonatal death in Angola: a secondary analysis of Angola Demographic Health Survey 2015-16.Tropical medicine and health · 2024Article
- Determinants of infant mortality in Oromia region, Ethiopia.Annals of medicine and surgery (2012) · 2023Article
- Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data.Annals of medicine and surgery (2012) · 2023Article
- Analysis of regional heterogeneity and determinants of perinatal mortality in Ethiopia: review.Annals of medicine and surgery (2012) · 2023Article
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Authors and funding
1 author at 1 institution in 1 country.
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Abstract
introductionWithin country inequality in infant mortality poses a big challenge for countries moving towards the internationally agreed upon targets on child mortality by 2030. There is a lack of high-quality evidence on infant mortality measured through different dimensions of social inequality in Angola. Thus, this paper was carried out to address the knowledge gap by conducting in-depth examination of infant mortality rate (IMR) inequality among population subgroups to provide more nuanced evidence to help end IMR disparity in the country.
methodsThe World Health Organization's (WHO) Health Equity Assessment Toolkit (HEAT) was used to analyze IMR inequality. HEAT is a software application that facilitates examination of disparities in reproductive, maternal, neonatal and child health indicators using the WHO Health Equity Monitor (HEM) database. Inequality of IMR was analyzed through disaggregation by five equity stratifiers: education, wealth, gender, subnational region and residence. These were analyzed through three inequality measures: Population Attributable Risk, Ratio and Slope Index of Inequality. A 95% confidence Interval (CI) was built around point estimates to determine statistical significance.
resultsA notable disadvantage was found for children born to poor (Population Attributable Risk (PAR): -27.0; -28.4, -26.0) and uneducated (PAR: -17.0; -17.9, -16.0), women who live in rural areas (PAR: -7.3;-7.8, -6.7) and those residing in certain regions of the country (PAR: -43.0; 45.3, -4). Male infants had a higher risk of death than female infants (PAR: -6.8;-7.5, -6.2). The subnational regional variation of IMR had been the most evident when compared with the disparities in the other equity stratifers.
conclusionsPolicymakers and planners need to address the disproportionately higher clustering of IMR among infants born to disadvantaged subpopulations through interventions that benefit such subgroups.
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