Publications by authors named "O Ka"

Introduction: the World Health Organization (WHO) recommends immediate and exclusive breastfeeding in order to reduce malnutrition and neonatal mortality. The purpose of this study was to determine the prevalence of exclusive breastfeeding (EBF) and to identify its associated factors among mothers of children aged 6 to 12 months in Kaolack.

Method: we conducted a cross-sectional descriptive and analytical study.

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Background: Genome-wide association studies have identified ATP2B4 as a severe malaria resistance gene. Recently, 8 potential causal regulatory variants have been shown to be associated with severe malaria.

Methods: Genotyping of rs10900585, rs11240734, rs1541252, rs1541253, rs1541254, rs1541255, rs10751450, rs10751451 and rs10751452 was performed in 154 unrelated individuals (79 controls and 75 mild malaria patients).

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Genome-wide association studies for severe malaria (SM) have identified 30 genetic variants mostly located in non-coding regions. Here, we aimed to identify potential causal genetic variants located in these loci and demonstrate their functional activity. We systematically investigated the regulatory effect of the SNPs in linkage disequilibrium (LD) with the malaria-associated genetic variants.

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Introduction: In Senegal, the main causes of death are the pneumonia, the diarrhea and the malaria. The malnutrition is an underlying factor in more than a third of the deaths, because it returns the more vulnerable children to the serious illnesses. The general objective of this research is to study the availability and the price of medicine in the therapeutic care of the children of less than 5 years old in the region of Dakar in Senegal.

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Aim: The purpose of this article is to identify, the factors that would explain the adherence and use of MS and make recommendations for actions that would encourage the population to adhere more at the MS in the Ziguinchor region in Senegal.

Method: The sample was concerned by 392 patients selected by the quota method in the hospitals of the region. The data were processed and analyzed by the sphinx and stata software through the logistic regression method.

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