Bayuh Asmamaw Hailu

Effectively addressing issues related to adolescent children being out of school and vulnerable to harmful practices is essential for advancing SDG 3—5. This study aimed to assess the prevalence, trends, and future projections of adolescent child vulnerability. We analyzed data from 386 datasets spanning 106 countries, encompassing 1,292,258 adolescent girls year 1990— 2023. Bayesian methods were employed to estimate prevalence, trends, and future projections. Sub-Saharan Africa and Latin America & the Caribbean showed a high prevalence of child marriage and early childbirth. Overall, these indicators decreased from 1990 to 2023, but recent years have seen increases in some countries. Projections for 2025 to 2030 suggest that changes in rates will occur in some countries, while most are expected to remain stable. The disparities are in underscore ongoing public health challenges. These issues risk derailing progress towards SDG targets of eliminating harmful practices and ensuring universal access to quality education. Addressing these challenges demands coordinated efforts from countries and the global community to implement effective interventions and strategies.

This study aimed to identify the most important principal components (PCs) that contribute to the prevalence and change of HIV/AIDS in 44 SSA and data from different national and international datasets. The study estimated HIV prevalence, trend, and principal component analysis (PCA). Using the elbow method, the number of important PCs and contributions was identified. The quality of representation was checked, and more contributing variables for most important PCs were identified. Finally, the status by prevalence, the progress by trend, the more influenced component by PCA, and the more influenced variable with quality of representation by PCs were reported. The study found that HIV prevalence varied significantly, with 30 of the countries showed good progress/decline. Four PCs accounted for 51% of the total variance. Literacy, cohabitation, media exposure, and HIV status awareness are highly contributing factors. Based on these findings, a gap-based response will help reduce the burden of HIV.

Zero vegetable or fruit and egg and/or flesh foods are the latest indicators for assessing infant and young child feeding practices. Understanding national and subnational heterogeneity and regional clustering in children with SSA is becoming increasingly essential for geographic targeting and policy prioritization. Geographical case identification, determinants, and impacts were all investigated. SSA children's consumption of vegetable or fruit, egg and/or flesh food, and both were low. In SSA, some portions of the Southern, South direction of the Western and Central regions have a lower weight of all bad conditions than others, although children continue to suffer in considerable numbers in all disadvantage circumstances. Children under the age of 1 year, from rural areas, uneducated families, and low income were all disadvantaged by both feeding techniques. To improve child nutrition status, multisectoral collaboration is essential. This framework allows for the tracking, planning, and implementation of nutritional treatments.

Zero vegetable or fruit and egg and/or flesh foods are the latest indicators for assessing infant and young child feeding practices. Understanding national and subnational heterogeneity and regional clustering in children with SSA is becoming increasingly essential for geographic targeting and policy prioritization. Geographical case identification, determinants, and impacts were all investigated. SSA children's consumption of vegetable or fruit, egg and/or flesh food, and both were low. In SSA, some portions of the Southern, South direction of the Western and Central regions have a lower weight of all bad conditions than others, although children continue to suffer in considerable numbers in all disadvantage circumstances. Children under the age of one year, from rural areas, uneducated families, and low income were all disadvantaged by both feeding techniques. To improve child nutrition status, multisectoral collaboration is essential. This framework allows for the tracking, planning, and implementation of nutritional treatments.

Geographical varation and determinant of inadequate Minimum Dietary Diversity(MDD) among young children in SSA with some consequence is becoming increasingly important for geographical targeting and policy prioritization. This study is to investigate geographic variation, factors, and consequences of inadequate MDD. Data for each nation were extrapolated from recent measures of DHS. The study consist of 57,291 children. Mapping identification and mixed effect model were applied for determining inadequate MDD. The prevalence of inadequate MDD was 79·9%. Most part of Western, Eastern and Central SSA children were more suffered. Children were suffering from anaemia, wasting, and stunting as a result of inadequate MDD. Children whose aged 6—11 months, from not media-exposed mothers, and from living a long distance of health facility were more likely to suffer inadequate MDD compared to their counterparts. The most important predictors were connected to maternal characteristics. Working with mothers is a simple way to achieve tremendous change. When adequate MDD is improved, the number of children who suffer from anemia, stunting, and wasting decreases.

Child death and mothers who suffer from child death are a public health concern in Sub-Saharan Africa. The location and associated factors of child death and mothers who suffer child death were not identified. To monitor and prioritize effective interventions, it is important to identify hotspots areas and associated factors. Data from nationally representative demographic and health survey and Multiple Indicator Cluster administrated in 42 Sub-Sahara Africa countries, which comprised a total of 398,574 mothers with 1,521,312 children. Spatial heterogeneity conducted hotspot regions identified. A mixed-effect regression model was run, and the adjusted ratio with corresponding 95% confidence intervals was estimated. The prevalence of mothers who suffer child death 27% and 45–49 year of age mother 48%. In Niger, 47% of mothers were suffering child death. Women being without HIV knowledge, stunted, wasted, uneducated, not household head, poor, from rural, and from subtropical significantly increased the odds of the case (P < 0.05). The spatial analysis can support the design and prioritization of interventions. Multispectral interventions for mothers who suffer from child death are urgently needed, improve maternal health and it will reduce the future risk of cases.

Background: HIV is a major public health issue, especially in developing countries. It is important to track and design successful intervention programs to explore the spatial pattern, distribution, and associated factors of HIV Seropositivity. This study therefore showed the spatial variation of HIV Seropositivity and related factors in Ethiopia. Methods: A total sample of 25,774 individual data collected from the 2016 EDHS data were primarily HIV biomarkers, IR, MR, and GPS. Spatial heterogeneity analysis was used with methods such as Morans I, Interpolation, and Kulldorff ‘s scan statistic. Spatial analysis was conducted using open source tools (QGIS, GeoDa, SaTScan). Multilevel logistic regression analysis was performed using Stata14 to identify HIV-associated factors. Finally, the AOR with a 95% confidence interval was used to report the mixed-effect logistic regression result in the full model. Result: The prevalence of HIV / AIDS at national level was 0.93%. The highest prevalence regions were Gambela, Addis Abeba, Harari and Diredawa, accounting for 4.79, 3.36, 2.65 and 2.6%, respectively. Higher HIV seropositive spatial clusters have been established in the Gambela and Addis Ababa regions. Multilevel analysis at the individual level being married [AOR = 2.19 95% CI: (1.11–4.31)] and previously married [AOR = 6.45, 95% CI: (3.06–13.59)], female [AOR = 1.8, 95% CI: (1.19–2.72)], first-sex at age ≤15 [AOR = 4.39, 95% CI: (1.70–11.34)], 18—19 [AOR = 2.67 95% CI: (1.05–6.8)], middle age group (25-34) [AOR = 6.53, 95% CI: (3.67–11.75)], older age group (>34) [AOR = 2.67 95% CI: (1.05–6.8)], primary school [AOR = 3.03, 95% CI: (1.92–4.79)], secondary school [AOR = 3.37, 95% CI: (1.92–5.92) were significantly associated with serropositivity. Regarding household level, place of residence [urban: AOR = 6.13 CI: (3.12, 12.06)], female-headed households (AOR = 2.24 95% CI: (1.57–3.73), media exposure [low exposure (AOR = 0.53 95% CI: (0.33–0.86), no exposure AOR = 0.39 95% CI: (0.23–0.65)] and increased household size [AOR = 0.72 95% CI: (0.65–0.8)] were associated with HIV Seropositivity. Conclusion: High cluster HIV cases were found in Gambela, Addis Abeba, Harari, and Diredawa. Having a history of married, start sex at a younger age, female-headed household, urban residence, and lower household size is more affected by HIV/AIDS. So any concerned body work around this risk group and area can be effective in the reduction of transmission.

Stunting remains a major public health concern in Ethiopia. Government needs to reshape and redesign new interventions to reduce stunting among under-five children. Hence, this study identified the problem according to location and risk factor. This study is a secondary data analysis of the 2016 Ethiopian Demographic and Health Survey. A total of 9588 children aged 0–59 months were included in the study. The spatial and multilevel logistic regression analyses were used to explore spatial heterogeneity and identify individual- and household-level factors associated with stunting and severe stunting. Spatial heterogeneity of stunting and severe stunting was seen across the study setting. Male children (AOR = 1.51, CI 1.16, 1.96); multiple births (AOR = 27.6, CI 10.73, 71.18); older children (AOR = 1.04, CI 1.01, 1.05) and anemic children (AOR = 3.21, CI 2.3, 4.49) were severely stunted at individual-level factors. Children from educated and malnourished mothers (respectively, AOR = 0.18, CI 0.05, 0.71; AOR = 5.35, CI 3.45, 8.32), and from less wealthier mothers (AOR = 5.95, CI 2.58, 13.69) were severely stunted at household-level factors. Giving priority to the hotspot areas of stunting and older and anemic children, multiple births, and maternal undernutrition is important to reduce stunting. Studies are recommended to fill the gaps of this study.

BackgroundHIV is a major public health problem, especially in developing countries including Ethiopia. Exploring the spatial pattern, distribution and associated factors of HIV Seropositivity is important to monitor, and design effective intervention programs. Therefore, this study showed associated factors and spatial variation of HIV Seropositivity in Ethiopia.MethodThis secondary data analysis, sampling technique and procedures were done by Ethiopipan Central Statistical Agency. A total sample of 25,774 individuals data were extracted from the 2016 EDHS data mainly HIV biomarkers, IR, MR, and GPS. Spatial heterogeneity analysis were done using tools like Morans I, Local G*, Interpolation, and Kulldorff’s scan statistic. The spatial analysis was carried out by using open source software (QGIS, GeoDa, SaTScan). Multilevel logistic regression analysis was used to identify both individual and household level factors associated with HIV Seropositivity and the analysis was carried out by Stata 14. Finally AOR with 95% confidence interval of mixed-effect logistic regression result in the full model was used to report.ResultThe prevalence of HIV/AIDS was found 0.93% at the national level. The highest prevalence regions were Gambela, Addis Ababa, Harari, and Dire Dawa, which accounts for 4.79%, 3.36%, 2.65%, and 2.6%, respectively. Similarly, the most likely high-risk HIV Seropositivity spatial cluster was found in the Gambela region and Addis Ababa followed by Harari and Diredawa. In a multilevel analysis at the individual level being married [AOR = 2.19 95%CI: (1.11, 4.31)] and previously married [AOR = 6.45, 95%CI (3.06, 13.59)] were significantly associated with serropositivity. Regarding household level place of residence [urban: AOR = 6.13 CI: (3.12, 12.06)] were associated with HIV Seropositivity.ConclusionThe distribution of HIV cases was not random. High cluster HIV cases were found in Gambela, Addis Abeba, Harari, and Dire Dawa. At the individual level, some characters are high risk like being previously married, start sex at a younger age, female household headed, urban residence, and lower household size is more affected by HIV/AIDS. So any concerned bodywork around this risk group and area can be effective in the reduction of transmission.