Background: Child malnutrition is a major public health problem in Ethiopia. Surprisingly, the highest level of stunting is found in food surplus areas of the country. Objective: To identify the determinants of stunting in food surplus areas of West Gojam Zone. Method: A community based cross-sectional survey was conducted on 622 mother-child pairs of 0-59 month old children in Mecha and Wenberma Woredas of West Gojam Zone, Northern Ethiopia between May and June 2006. The study investigated the differential impact of demographic and socio-economic factors, health related factors and dietary factors on stunting among under-five children. Both bivariate analysis and multivariate analysis (logistic regression model) were used to identify the determinants of under-five stunting. Results: The analyses revealed that 43.2 (12.0-17.6) 95% CI percent of the children under age five were suffering from chronic malnutrition, 14.8 (39.3-47.1) 95% CI percent were acutely malnourished and 49.2 (45.3-53.1) 95% CI percent were found to be under-weight. The main contributing factors for under-five stunting were found to be sex of the child, child's age, diarrhea episode, deprivation of colostrum, duration of breastfeeding, pre-lacteal feeds, type of food, age of introduction of complementary feeding and method of feeding. Conclusion:The findings of this study led to the realization that inappropriate feeding practice is the principal risk factor which brought about nutritional deprivation among under-five children in food surplus areas of Ethiopia. Thus, the importance of appropriate feeding during infancy and childhood cannot be overstated even in food surplus areas. The high prevalence of malnutrition in the study area points out the need to revisit the impression held by many people that malnutrition is not a problem in food surplus areas. Development and implementation of preventive policies aimed at addressing child malnutrition should also consider food surplus areas of the country. [Ethiop. J. Health Dev. 2009;23(2):98-106]
BackgroundDetermination of the genetic diversity of malaria parasites can inform the intensity of transmission and identify potential deficiencies in malaria control programmes. This study was conducted to characterize the genetic diversity and allele frequencies of Plasmodium falciparum in Northwest Ethiopia along the Eritrea and Sudan border.MethodsA total of 90 isolates from patients presenting to the local health centre with uncomplicated P. falciparum were collected from October 2014 to January 2015. DNA was extracted and the polymorphic regions of the msp-1, msp-2 and glurp loci were genotyped by nested polymerase chain reactions followed by gel electrophoresis for fragment analysis.ResultsAllelic variation in msp-1, msp-2 and glurp were identified in 90 blood samples. A total of 34 msp alleles (12 for msp-1 and 22 for msp-2) were detected. For msp-1 97.8% (88/90), msp-2 82.2% (74/90) and glurp 46.7% (42/90) were detected. In msp-1, MAD20 was the predominant allelic family detected in 47.7% (42/88) of the isolates followed by RO33 and K1. For msp-2, the frequency of FC27 and IC/3D7 were 77% (57/74) and 76% (56/74), respectively. Nine glurp RII region genotypes were identified. Seventy percent of isolates had multiple genotypes and the overall mean multiplicity of infection was 2.6 (95% CI 2.25–2.97). The heterozygosity index was 0.82, 0.62 and 0.20 for msp-1, msp-2 and glurp, respectively. There was no significant association between multiplicity of infection and age or parasite density.ConclusionsThere was a high degree of genetic diversity with multiple clones in P. falciparum isolates from Northwest Ethiopia suggesting that there is a need for improved malaria control efforts in this region.Electronic supplementary materialThe online version of this article (10.1186/s12936-018-2540-x) contains supplementary material, which is available to authorized users.
The findings in this study correspond to similar research undertaken in Ethiopia by detecting L. monocytogenes with similar prevalence rates. Public education is crucial as regards the nature of this organism and relevant prevention measures. Moreover, further research in clinical samples should be carried out to estimate the prevalence and carrier rate in humans, and future investigations on foodborne outbreaks must include L. monocytogenes.
Background: According to the Donabedian model, the assessment for the quality of care includes three dimensions. These are structure, process, and outcome. Therefore, the present study aimed at assessing the structural quality of Antenatal care (ANC) service provision in Ethiopian health facilities. Methods: Data were obtained from the 2018 Ethiopian Service Availability and Readiness Assessment (SARA) survey. The SARA was a cross-sectional facility-based assessment conducted to capture health facility service availability and readiness in Ethiopia. A total of 764 health facilities were sampled in the 9 regions and 2 city administrations of the country. The availability of equipment, supplies, medicine, health worker's training and availability of guidelines were assessed. Data were collected from October-December 2017. We run a multiple linear regression model to identify predictors of health facility readiness for Antenatal care service. The level of significance was determined at a p-value < 0.05. Result: Among the selected health facilities, 80.5% of them offered Antenatal care service. However, the availability of specific services was very low. The availability of tetanus toxoid vaccination, folic acid, iron supplementation, and monitoring of hypertension disorder was, 67.7, 65.6, 68.6, and 75.1%, respectively. The overall mean availability among the ten tracer items that are necessary to provide quality Antenatal care services was 50%. In the multiple linear regression model, health centers, health posts and clinics scored lower Antenatal care service readiness compared to hospitals. The overall readiness index score was lower for private health facilities (β = − 0.047, 95% CI: (− 0.1, − 0.004). The readiness score had no association with the facility settings (Urban/Rural) (p-value > 0.05). Facilities in six regions except Dire Dawa had (β = 0.067, 95% CI: (0.004, 0.129) lower readiness score than facilities in Tigray region (p-value < 0.015). Conclusion: This analysis provides evidence of the gaps in structural readiness of health facilities to provide quality Antenatal care services. Key and essential supplies for quality Antenatal care service provision were missed in many of the health facilities. Guaranteeing properly equipped and staffed facilities shall be a target to improve the quality of Antenatal care services provision.
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