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.

Accessibility and utilization of postnatal newborn check-ups within 2 days after delivery are critical for a child’s survival, growth, and development. However, the service delivery is not yet improved and fluctuates across the geographical locations in Ethiopia. Therefore, this study aimed to assess the spatial distribution and determinants of newborns not received postnatal check-ups within 2 days after birth in Ethiopia. A secondary data analysis of the Ethiopia Demographic and Health Survey (EDHS) 2016 was done among live births within 2 years preceding the survey. A multilevel binary logistic regression model was fitted to identify the factors associated with the outcome variable. Adjusted Odds Ratio with 95% (Confidence Interval) was calculated and used as a measure of associations and variables with a p-value < 0.05, were declared as statistically significant. A total of 4036 live newborns in Ethiopia were included in the analysis, of whom half (51.21%) were females. The mean age of the mothers was 33+ SD 1.3, and more than 60 % (61.56%) of the mothers were not educated. The national prevalence of newborns not receiving postnatal check-ups within 2 days after birth was 84.29 (95% CI: 83.10–85.41) with significant spatial variations across the study area. Mothers who had no ANC visits were 58% higher than (AOR = 0.42(0.27–0.66) mothers who had > 4 ANC visits. Mothers who gave birth at home and others were 80% (AOR = 0.02(0.01–0.29) and 25% (AOR = 0.76(0.59–0.99), higher than mothers delivered at hospital. Rural mothers were 1.90 times higher (AOR = 1.90(1.29–2.81) than urban mothers, and mothers live in administrative regions of Afar 66% (AOR = 0.34(0.16–0.69), Oromia 47% (AOR = 0.53(0.30–0.91), Somali 60% (AOR = 0.40 (0.22–0.74),Benishangul 50% (AOR = 0.50 (0.27–0.92), SNNPR 67% (AOR = 0.33(0.19–0.57), Gambela 70% (AOR = 0.30 (0.16–0.56), Harari 56% (AOR = 0.44 (0.25–0.78), and Dire Dawa70% (AOR = 0.30 (0.17–0.54) were higher than Addis Abeba for not receiving postnatal checkup of new born within the first 2 days, respectively. Low postnatal check-up utilization remains a big challenge in Ethiopia, with significant spatial variations across regional and local levels. Spatial clustering of not receiving postanal check-ups within 2 days was observed in Afar, Oromia, Gambela, Benishangul, SNNPR, Harari, and Dire Dawa regions. Residence, ANC visits, place of delivery, and administrative regions were significantly associated with not receiving postnatal check-ups. Geographically targeted interventions to improve ANC follow-up and institutional delivery should be strengthened.

Introduction: Tetanus is a major public health problem caused by clostridium tetani. Although it is vaccine-preventable, the case fatality rate among neonates in areas with poor immunization coverage and limited access to clean deliveries reaches 80-100%. Vaccination of pregnant mothers with the tetanus toxoid (TT) vaccine is the most effective way to protect against neonatal tetanus. This study aimed to examine the spatial distribution and determinants of tetanus toxoid immunization among pregnant mothers using the 2016 EDHS data. Method: Secondary analysis of the Ethiopia Demographic and Health Survey 2016 was done to assess the spatial distribution and determinants of tetanus toxoid vaccine among pregnant women in Ethiopia. Spatial autocorrelation analysis and hot spot analysis were used to detect spatial dependency and spatial clustering of the tetanus toxoid vaccine in Ethiopia. Spatial interpolation was used to predict the tetanus toxoid vaccine coverage in unsampled areas. The multilevel binary logistic regression model was fitted to identify factors associated with tetanus toxoid vaccination. An adjusted odds ratio with 95% CI was calculated and used as the measure of association and a p-value less than 0.05 were considered statistically significant. Result: From the total of 7043 pregnant women, 42.4% of them have taken at least two doses of tetanus toxoid immunization. Spatial clustering of TT immunization was observed in the Northern, Southwestern and Southwestern parts of Ethiopia. Whereas, low TT coverage was observed in the Eastern and Western parts of the country. Increased ANC visits and the richest economic status favored TT immunization, whereas living in Addis Ababa and Dire Dewa cities decreased the TT immunization coverage. Conclusion: The finding of this study reveals that TT immunization had spatial dependency, with the highest immunization coverage observed in the Northern, Southwestern and Southeastern parts of the Country. Thus, geographically targeted interventions should be implemented particularly in the eastern and western parts of the country.

Introduction: Vitamin A is an essential element that supports rapid growth, builds the immune system, and prevents infection. In impoverished countries like Ethiopia, however, consumption of vitamin A-rich foods is a major problem. Thus, this study aimed to investigate the spatial distributions and determinants of poor consumption of foods rich in vitamin A among children aged 6–23 months in Ethiopia. Methods Data were obtained from the Ethiopian Demographic and Health Survey (EDHS) 2019. Spatial autocorrelation was done to test whether the poor consumption of foods rich in vitamin A had spatial dependency or not. Spatial SAT scan analysis and Hotspot (Getis Ord Gi*) were used to detect spatial clustering of poor consumption. A multilevel binary logistic regression model was fitted to identify factors associated with poor consumption of vitamin A-rich foods. An adjusted odds ratio with a 95% confidence interval was calculated, and variables with a p-value less than 0.05 were declared to be significant predictors of poor consumption of vitamin A-rich foods. Result The analysis looked at 1,605 children aged 6 to 23 months. In Ethiopia, poor consumption of vitamin A-rich foods was found to be prevalent in 61.2% of the population, with significant spatial variation. Spatial clustering of poor consumption of foods rich in vitamin A was observed in the Amhara, Somali, and Afar regions. At the individual level, the odds of poor consumption of foods rich in vitamin A among children aged 12–17 and 18–23 months were 0.57 (95%CI (0.39, 0.84)) and 0.39 (95%CI (0.26, 0.58)) respectively. At the community level, the odds of poor consumption of foods rich in vitamin A in Afar, Amhara and Somali were 6.07 (95%CI (2.59, 14.23)), 2.27 (95% CI (1.16, 4.44)) and 57.39 (95%CI (11.76, 279.90)) respectively. Conclusion In Ethiopia, poor consumption of vitamin A-rich foods among children aged 6 to 23 months varied significantly by region, with the highest prevalence found in the Amhara, Somali, and Afar regions. Child age, media exposure, maternal education, and regions were the significant predictors of poor consumption of foods rich in vitamin A. Through improving maternal education and creating awareness through mass media, interventions are targeted to improve the consumption of foods rich in vitamin A.