Stunting is a major global public health problem, associated with physical and cognitive impairments. Spatial variations in childhood stunting were observed due to changes in contextual variables from area to area, implying that geography is a crucial component in the development of strategies against childhood stunting. However, to our knowledge, there are no up-to-date studies on the distribution of childhood stunting and its determinants in Ethiopia. Thus, the aim of this study was to investigate the spatial distribution and determinants of stunting among children aged <5 y in Ethiopia. Geospatial and multilevel analysis of the Ethiopia Demographic and Health Survey 2019 data was done to investigate the spatial distribution and determinants of stunting among children aged <5 y in Ethiopia. The analysis included 5753 weighted children aged <5. Spatial autocorrelations analysis was done to assess the spatial dependency of stunting. Hot spot and cluster outlier analysis was used to observe the spatial clustering of stunting. Kriging interpolation was used to predict stunting in an unsampled area. A multilevel logistic regression model was fitted to identify determinants of stunting. Adjusted odds ratio with 95% confidence interval (CI) was calculated and variables having a P < 0.05 were declared statistically significant. The national prevalence of stunting was 36.81% (95% CI, 35.48%-38.15%), with significant spatial variations across Ethiopia. Spatial clustering of stunting was detected in the northern, northwestern, northeastern, and southwestern parts of Ethiopia. Age and sex of the child, birth interval, birth type, household wealth status, maternal education, region, and community-level illiteracy were factors significantly associated with stunting. Stunting significantly varies across Ethiopia, with the highest prevalence in Northern Ethiopia. Older age, poor family wealth, maternal illiteracy, and community illiteracy level were the significant determinants of stunting in children aged <5 y in this study. Policymakers should design interventions to reduce stunting among children aged <5 y through accessing education for women and applying economic empowerment strategies in the hot spot areas.

Tuberculosis (TB) is the leading cause of death in Human immunodeficiency virus (HIV) infected children globally. The aims of this study were to determine the mortality rate and to identify the predictors of mortality among TB/HIV co-infected children at University of Gondar Comprehensive Specialized Hospital. A retrospective follow-up study was conducted among TB/HIV co-infected children from February 2005 to March 2017. A Kaplan–Meier curve was used to estimate the median survival time. Bivariate and multivariable Cox proportional hazards models were fitted to identify the predictors of mortality. A total of 271 TB/HIV co-infected children were included in the analysis. Of these, 38(14.02%) children were died during the follow-up period. This gives a total of 1167.67 child-years of observations. The overall mortality rate was 3.27(95%CI: 2.3–4.5) per 100 child-years. The independent predictors of time to death were age 1–5 years (as compared to age <1 year) (AHR = 0.3; 95%CI:0.09–0.98)), being anemic (AHR = 2.6; 95%CI:1.24–5.3), cotrimoxazole preventive therapy(CPT) non-users (AHR = 4.1; 95%CI:1.4–16.75), isoniazid preventive therapy(IPT) non-users (AHR = 2.95; 95%CI:1.16–7.5), having extra pulmonary tuberculosis(EPTB) (AHR = 2.43; 95%CI:1.1–5.3)) and fair or poor adherence to Anti-Retroviral Therapy (ART)(AHR = 3.5; 95%CI:1.7–7.5). Mortality rate among TB/HIV co-infected children was high at University of Gondar Comprehensive Specialized Hospital. Age, extra-pulmonary tuberculosis, anemia, adherence, CPT and IPT were the independent predictors of mortality.

Background: Minimum dietary diversity is the consumption of five or more food groups from the eight World Health Organization recommended food groups. Adequately diversified diet, in terms of amount and composition, is critical for optimal growth, development, and long-term health outcomes in the first 2 years. Understanding the regional variation of dietary diversity and the underlying factors is crucial for developing and implementing interventions. However, the use of spatial approaches in dietary studies has not been widely established. Therefore, this study aimed to explore the spatial patterns and determinates of minimum dietary diversity practice among 6–23 months children in Ethiopia. Methods: Secondary data analysis was conducted based on the Demographic and Health Surveys data conducted in Ethiopia. A total weighted sample of 1578 children aged 6–23 months was included for this study. The Global Moran’s I was estimated to look into the regional variation of dietary diversity and hotspot and cold spot areas. Further, multivariable multilevel logistic regression was used for factor analyses. Adjusted Odds Ratio with 95% CI was used to declare the strength and significance of the association. Results: Overall, 87.4% (95% CI: 85.7 to 88.9%) of children in 2019 had inadequate Minimum dietary diversity. We identified statistically significant clusters of high inadequate dietary diversity (hotspots) notably observed in Somali, Afar, Eastern and western Amhara, western Tigray, Benishangul, and Northeastern and western parts of the southern nations, nationality and peoples’ regions. Inadequate dietary diversity was significantly higher among young children, uneducated mother, married women, younger mother, no postnatal check, community with higher level of poverty and community level uneducated woman. Conclusion: According to the findings of this study inadequate Minimum dietary diversity for children as measured by World Health Organization dietary assessment shows high. Children's dietary diversity was distributed non-randomly in different districts across Ethiopia's regions. The findings of the study provided critical evidence about dietary diversity and associated factors. Hence, policy should focused on improve education status of Mother, boosting economic status of the community, increased maternal continuum of care and focused on young children nutrition may advance dietary diversity.

Background: Evidence on double and triple burdens of malnutrition at household level among child-mother pairs is a key towards addressing the problem of malnutrition. In Ethiopia, studies on double and triple burdens of malnutrition are scarce. Even though there is a study on double burden of malnutrition at national level in Ethiopia, it doesn’t assess the triple burdens at all and a few forms of double burden of malnutrition. Therefore, this study aimed to determine the prevalence and associated factors of double and triple burdens of malnutrition among child-mother pairs in Ethiopia.Methods: A total sample of 7,624 child-mother pairs from Ethiopian Demographic and Health Survey (EDHS) 2016 were included in the study. All analysis were performed considering complex sampling design. Anthropometric measures and hemoglobin levels of children, as well as anthropometric measurements of their mothers, were used to calculate double burden of malnutrition (DBM) and triple burden of malnutrition (TBM). Spatial analysis was applied to detect geographic variation of prevalence of double and triple burdens of malnutrition among EDHS 2016 clusters. Bivariable and multivariable binary survey logistic regression models were used to assess the factors associated with DBM and TBM.Results: The overall weighted prevalence of DBM and TBM respectively were 1.8% (95%CI: 1.38–2.24) and 1.2% (95%CI: 0.83–1.57) among child-mother pairs in Ethiopia. Significant clusters of high prevalence of DBM and TBM were identified. In the adjusted multivariable binary survey logistic regression models, middle household economic status [AOR = 0.23, 95%CI: 0.06, 0.89] as compared to the poor, average birth weight [AOR = 0.26, 95%CI: 0.09, 0.80] as compared to large birth weight and children aged 24–35 months [AOR = 0.19, 95%CI: 0.04,0.95] as compared to 6–12 months were less likely to experience DBM. Average birth weight [AOR = 0.20, 95%CI: 0.05, 0.91] as compared to large birth weight and time to water source <=30 min [AOR = 0.41, 95%CI: 0.19,0.89] as compared to on premise were less likely to experience TBM.Conclusion: There is low prevalence of DBM and TBM among child-mother pairs in Ethiopia. Interventions tailored on geographic areas, wealth index, birth weight and child birth could help to control the emerging DBM and TBM at household level among child-mother pairs in Ethiopia.

Introduction: The Bacille-Calmette–Guerin (BCG) vaccination remains the primary strategy to prevent severe disseminated TB in young children, particularly in high TB-burden countries such as Ethiopia. Accurate knowledge of vaccination coverage in small geographical areas is critically important to developing targeted immunization campaigns. Thus, this study aimed to investigate the spatiotemporal distributions and ecological level determinants of BCG vaccination coverage in Ethiopia. Method: Bacille-Calmette–Guerin immunization coverage and geographical information data were obtained from five different Demographic and Health Surveys, conducted in Ethiopia between 2000 and 2019. Data for independent variables were obtained from publicly available sources. Bayesian geostatistical models were used to predict the spatial distribution of BCG vaccination coverage in Ethiopia. Result: The overall national BCG vaccination coverage between 2000 and 2019 was 65.5%. The BCG vaccine coverage was 53.5% in 2000, 56.9% in 2005, 64.4% in 2011, 79.6% in 2016, and 79.0% in 2019. BCG vaccination coverage increased by 47.6% in Ethiopia from 2000 to 2019, but substantial geographical inequalities in BCG coverage remained at sub-national and local levels. High vaccination coverage was observed in northern, western, and central parts of Ethiopia. Climatic and demographic factors such as temperature, altitude, and population density were positively associated with BCG vaccination coverage. Whereas, healthcare access factors such as distance to health facilities and travel time to the nearest cities were negatively associated with BCG vaccine coverage in Ethiopia. Conclusion: Despite substantial progress in national BCG vaccination coverage, marked spatial variation in BCG coverage persists throughout the country at sub-national and local levels. Healthcare access and climatic and demographic factors determined the spatial distribution of BCG vaccination coverage. Maintaining a high level of vaccination coverage across geographical areas is important to prevent TB in Ethiopia.