2020
DOI: 10.1186/s40723-020-00075-1
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Household factors associated with infant and under-five mortality in sub-Saharan Africa countries

Abstract: Background: Child mortality has become a prominent public health issue in sub-Saharan Africa (SSA). The mortality rates can in part be translated to how communities meet the health needs of children and address key household and environmental risk factors. Though discussions on the trends and magnitude of child mortality continue as to strategize for a lasting solution, large gap exists specifically in family characteristics associated with child death. Moreover, household dynamics of child mortality in SSA is… Show more

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Cited by 40 publications
(41 citation statements)
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“…Percentage was used in univariate analysis. 18 The forest plot was used to explore the pooled prevalence of 8 or more ANC contacts across the selected countries. Statistical significance was determined at P < .05.…”
Section: Methodsmentioning
confidence: 99%
“…Percentage was used in univariate analysis. 18 The forest plot was used to explore the pooled prevalence of 8 or more ANC contacts across the selected countries. Statistical significance was determined at P < .05.…”
Section: Methodsmentioning
confidence: 99%
“…All the maternal factors influencing childhood mortality could be supported by the fact that mothers with higher education and awareness, residing in urban areas and belonging to richer wealth index, could have a higher likelihood of utilising health services or better access to health care facilities. [13][14][15] We also found the employment status of mothers as one of the risk factors for under-five mortality. A mother who does not work devotes more time to domestic activities and spends more time with children, which results in the timely achievement of growth milestones.…”
Section: Discussionmentioning
confidence: 58%
“…Consequently, no variable was excluded from the model as they were not found to be interdependent. We use percentage, Kaplan-Meier and Cox regression models to account for censoring in the estimation of exposure time to abortion [ 35 , 36 ]. Statistical significance was determined at p < 0.05.…”
Section: Methodsmentioning
confidence: 99%