Spatial distribution and determinants of tetanus toxoid immunization among pregnant women in Ethiopia using data from Ethiopian demographic and health survey 2016.

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.

Mapping stunted children in Ethiopia using two decades of data between 2000 and 2019. A geospatial analysis through the Bayesian approach.

BACKGROUND: Childhood stunting is a major public health problem globally, resulting in poor cognition and educational performance, low adult wages, low productivity, and an increased risk of nutrition-related chronic diseases in adulthood life. Accurate and reliable data on the prevalence of stunting over time with a sub-national estimate are scarce in Ethiopia. OBJECTIVE: Our objective was to investigate the spatiotemporal distributions and ecological level drivers of stunting among under-five children over time in Ethiopia. METHODS: A geospatial analysis using the Bayesian framework was employed to map the spatial variations of stunting among children aged less than five years. The data for the primary outcome were obtained from the Ethiopian Demographic and Health Surveys (2000-2019) and covariates data were accessed from different publicly available credible sources. The spatial binomial regression model was fitted to identify drivers of child stunting using the Bayesian approach. RESULT: The national prevalence of stunting was 47.9 in 2000, 43.3 in 2005, 37.3 in 2011, 36.6 in 2016, and 35.9 in 2019, with a total reduction rate of 25%. Substantial spatial clustering of stunting was observed in the Northern (Tigray), Northcentral (Amhara), and Northwestern (Amhara) parts of Ethiopia. Temperature (mean regression coefficient (ß): -0.19; 95% credible interval (95% CrI): -0.25, -0.12) and population density (ß: -0.012; 95% CrI: -0.016, -0.009) were negatively associated with stunting, whereas travel time to the nearest cities (ß: 0.12; 95% CrI: 0.064, 0.17) was positively associated with child stunting in Ethiopia. CONCLUSION: The prevalence of stunting varied substantially at subnational and local levels over time. Clustering of stunted children were observed in the Northern parts of Ethiopia. Temperature, population density and travel time to the nearest cities were identified as the drivers of stunting in children. Improving community awareness of child nutrition through community health extension programs should be strengthened.

Incidence and predictors of mortality among neonates with respiratory distress syndrome admitted at West Oromia Referral Hospitals, Ethiopia, 2022. Multi-centred institution based retrospective follow-up study.

INTRODUCTION: Respiratory distress syndrome is the major cause of neonatal death. However, data on the mortality and predictors related to respiratory distress syndrome were scarce. Hence, this study aimed to assess the incidence and predictors of death among neonates admitted with respiratory distress syndrome in West Oromia Referral Hospitals, Ethiopia, 2022. METHODS: A retrospective follow-up study was conducted among 406 neonates admitted with respiratory distress syndrome at five referral hospitals from, 1 January 2019 to, 31 December 2021 in West Oromia, Ethiopia. The data were collected using a structured checklist and participants were selected using simple random sampling technique. The data were entered into Epi data version 4.6.0.2 and exported to STATA version 14 for cleaning, coding and analysis. The Kaplan-Meier curve was used to estimate survival time. The Weibull regression model was fitted to identify the predictors of mortality and variables with a P-value < 0.05 was taken as significant predictors of mortality. RESULT: Four hundred six neonates with respiratory distress syndrome were included in the analysis. The overall incidence of neonatal mortality was 59.87/1000 neonates-days observations (95%CI: 51.1-70.2) with a proportion of 152 (37.44%) (95% CI: 32.7-42.2). The median time of follow-up was 11 days (95% CI: 10-23). Very low birthweight (AHR = 4.5, 95%CI: 2.0-10.9) and low birth weight (AHR = 3.1, 95%CI: 1.4-6.6), perinatal asphyxia (AHR = 2.7, 95%CI: 1.8-4), Chorioamnionitis (AHR = 2.2, 95%CI: 1.4-3.5) and multiple pregnancies (AHR = 2.2, 95%CI: 1.4-3.4) increased the hazard of death, whereas, antenatal corticosteroid administration (AHR = 0.33, 95%CI: 0.2-0.7) was negatively associated with neonatal mortality. CONCLUSION AND RECOMMENDATION: High mortality rate of neonates with respiratory distress syndrome was observed. Chorioamnionitis, perinatal asphyxia, low birth weight and multiple pregnancies increase the, mortality hazard while administering antenatal corticosteroids decreases it. Thus, administering corticosteroids- before giving birth and special emphasis on children with Chorioaminoitis, asphyxia, low birth weight and multiple pregnancies is important for reducing neonatal mortality.

Wasting and its associated factors among children aged from 6 to 59 months in Debre Tabor town, Amhara region of Ethiopia, 2019: a multicentre community-based cross-sectional study.

OBJECTIVES: Wasting is acute malnutrition that has harmful short-term consequences for children and is determined by an inadequate diet. This study aimed to assess the prevalence and associated factors of wasting among children aged 6-59 months in Debre Tabor town, Ethiopia. DESIGN: This study was a community-based cross-sectional. SETTING: The study was conducted at Debre Tabor town, Ethiopia. PARTICIPANTS: A total of 436 children aged 6-59 months participants were enrolled. OUTCOME MEASURES: A weight-for-height z-score, which is below -2 SD of the WHO median standard curve, was used to measure wasting. Logistic regression analyses were done to see which independent variables have an association with the dependent variable and a p value of <0.05 was considered significant at the 95% CI. RESULTS: The result revealed that wasting in children aged 6-59 months was 6.2%. Children in the age group of 6-11 months were 4.3 times more likely to have wasted than those in the age group of 24-59 months (adjusted OR (AOR): 4.3; 95% CI: 1.5 to 12.5). Similarly, parents who have poor wealth status in their family are 3.1 times more likely to have wasted children than those who have rich wealth status in their family (AOR: 3.1 (1.01 to 9.35)). Moreover, mothers who gave birth at the age group of 20-25 years were 4.3 times more likely to have wasted children than those who gave birth at an age group of greater than 30 years (AOR: 4.3 (4.3 (1.56 to 12.5)). CONCLUSION: Wasting is still an important public health problem for children in the age group of 6-59 months. The age of the child, the wealth status of the family, and giving birth before 20 years of age were significantly associated with wasting. Therefore, the government of Ethiopia should pay further attention to the wealth status of the family; create awareness among the mothers regarding childhood undernutrition care, and design further nutritional intervention programmes.

Major maternal related determinants of non-breastfeeding among mothers in Ethiopia: A multilevel analysis from DHS Ethiopia 2016.

INTRODUCTION: In Ethiopia, the burden of non-breastfeeding is still high despite substantial improvements in breastfeeding. However, the determinants of non-breastfeeding were poorly understood. Therefore, the aim of this study was to identify the maternal -related factors associated with non-breastfeeding. METHODS: An in-depth analysis of data from the Ethiopian Demographic and Health Survey 2016 (EDHS 2016) was used. A total weighted sample of 11,007 children was included in the analysis. Multilevel logistic regression models were fitted to identify factors associated with non-breastfeeding. A p-value < of 0.05 was used to identify factors significantly associated with non-breastfeeding. RESULTS: The prevalence of non-breastfeeding in Ethiopia was 5.28%. The odds of not breastfeeding were 1.5 times higher among women aged 35to 49 years (AOR = 1.5 CI: 1.034, 2.267) than among women aged 15to 24 years. The odds of not breastfeeding were higher among children whose mothers had BMIs of 18.5-24.9 (AOR = 1.6 CI: 1.097, 2.368) and 25-29.9 (AOR = 2.445 CI: 1.36, 4.394) than among women with BMIs of < 18.5. In addition, not breastfeeding was also significantly associated with ANC follow-up, where mothers who had 1-3 ANC follow-up had a 54% decreased odds (AOR = 0.651 CI: 0.46,0.921) compared to mothers who had no ANC follow-up. Demographically, mothers from Somalia region were five times (AOR = 5.485 CI: 1.654, 18.183) and mothers from SNNP region were almost four times (AOR = 3.997 CI: 1.352, 11.809) more likely to not breastfeed than mothers residing in Addis Ababa. CONCLUSIONS: Although breastfeeding practices are gradually improving in Ethiopia, the number of children not breastfed remains high. Individual-level characteristics (women's age, body mass index, and ANC follow-up) and community-level characteristics (geographic region) were statistically significant determinants of non-breastfeeding. Therefore, it is good for the federal minister of Health, planners, policy and decision- makers, and other concerned child health programmers to prioritize both individual and community factors.

Prevalence, spatial distribution and determinants of infant mortality in Ethiopia: Findings from the 2019 Ethiopian Demographic and Health Survey.

INTRODUCTION: Infant mortality declined globally in the last three decades. However, it is still a major public health concern in Ethiopia. The burden of infant mortality varies geographically with the highest rate in Sub-Saharan Africa. Although different kinds of literature are available regarding infant mortality in Ethiopia, an up to date information is needed to design strategies against the problem. Thus, this study aimed to determine the prevalence, show the spatial variations and identify determinants of infant mortality in Ethiopia. METHODS: The prevalence, spatial distribution, and predictors of infant mortality among 5,687 weighted live births were investigated using secondary data from the Ethiopian Demographic and Health Survey 2019. Spatial autocorrelation analysis was used to determine the spatial dependency of infant mortality. The spatial clustering of infant mortality was studied using hotspot analyses. In an unsampled area, ordinary interpolation was employed to forecast infant mortality. A mixed multilevel logistic regression model was used to find determinants of infant mortality. Variables with a p-value less than 0.05 were judged statistically significant and adjusted odds ratios with 95 percent confidence intervals were calculated. RESULT: The prevalence of infant mortality in Ethiopia was 44.5 infant deaths per 1000 live births with significant spatial variations across the country. The highest rate of infant mortality was observed in Eastern, Northwestern, and Southwestern parts of Ethiopia. Maternal age between 15&19 (adjusted odds ratio (AOR) = 2.51, 95% Confidence Interval (CI): 1.37, 4.61) and 45&49(AOR = 5.72, 95% CI: 2.81, 11.67), having no antenatal care follow-up (AOR = 1.71, 95% CI: 1.05, 2.79) and Somali region (AOR = 2.78, 95% CI: 1.05, 7.36) were significantly associated with infant mortality in Ethiopia. CONCLUSION: In Ethiopia, infant mortality was higher than the worldwide objective with significant spatial variations. As a result, policy measures and strategies aimed at lowering infant mortality should be devised and strengthened in clustered areas of the country. Special attention should be also given to infants born to mothers in the age groups of 15-19 and 45-49, infants of mothers with no antenatal care checkups, and infants born to mothers living in the Somali region.

Spatiotemporal distributions of under-five mortality in Ethiopia between 2000 and 2019.

Under-five mortality declined in the last two decades in Ethiopia, but sub-national and local progress remains unclear. This study aimed to investigate the spatiotemporal distributions and ecological level factors of under-five mortality in Ethiopia. Data on under-five mortality were obtained from five different Ethiopian Demographic and Health Surveys (EDHS), conducted in 2000, 2005, 2011, 2016, and 2019. Environmental and healthcare access data were obtained from different publicly available sources. Bayesian geostatistical models were used to predict and visualize spatial risks for under-five mortality. The national under-five mortality rate in Ethiopia declined from 121 per 1000 live births in 2000 to 59 per 1000 live births in 2019. Spatial variation in under-five mortality was observed at regional and local levels with the highest rates reported in the Western, Eastern, and Central parts of Ethiopia. Spatial clustering of under-five mortality was significantly associated with population density, access to a water body, and climatic factors such as temperature. Under-five mortality rate declined over the past two decades and varied substantially at sub-national and local levels in Ethiopia. Increasing access to water and health care may help to reduce under-five mortality in high-risk areas. Therefore, interventions targeted to reduce under-five mortality should be strengthened in the areas that had a clustering of under-five mortality in Ethiopia by increasing access to quality health care access.

Mapping wasted children using data from the Ethiopia Demographic and Health Surveys between 2000 and 2019: A bayesian geospatial analysis.

OBJECTIVES: Undernutrition, particularly wasting, is continuing to be a major challenge in developing countries like Ethiopia. However, data on the geographic variations over time are limited. We aimed to investigate the spatiotemporal variation of wasting in Ethiopia using two decades of Ethiopia Demographic and Health Surveys data, from 2000 to 2019. METHODS: Trend and geospatial regression analysis using a bayesian framework were used to predict wasting in Ethiopia among children aged <5 y. The primary outcomes (wasting) were obtained from the Ethiopia Demographic and Health Surveys conducted between 2000 and 2019. Covariates were accessed from different publicly available credible sources at a high resolution. The spatial binomial regression model through the bayesian framework was fitted to identify drivers of wasting among children in Ethiopia. RESULTS: The overall national prevalence of wasting among children aged <5 y in Ethiopia was 11.9% in 2000, 11.1% in 2005, 10.2% in 2011, 12.3% in 2016, and 9.4% in 2019, with substantial spatial variation across subnational and local levels over time. Spatial clustering of wasting was observed in eastern Ethiopia (Afar and Somali regions). Altitude (mean regression coefficient = -0.38; 95% credible interval, -0.69 to -0.07) and population density (mean regression coefficient = -0.02; 95% credible interval, -0.03 to -0.01) were negatively associated with wasting, whereas distance to health facilities (mean regression coefficient = 0.13; 95% credible interval, 0.03-0.23) was positively associated with wasting. CONCLUSIONS: The reduction in the national prevalence of wasting among children was not as expected. Spatial clustering of wasting was observed in the northern, northeastern, eastern, and western parts of Ethiopia. Spatial clustering of wasting was associated with altitude, precipitation, population density, distance to health facilities, travel time to the nearest cities, and distance to a water body. Early screening and treatment of wasted children should be strengthened. Furthermore, outreach community awareness, especially in rural parts of the country, should be recommended through community health extension workers.

Spatial distribution of rotavirus immunization coverage in Ethiopia: a geospatial analysis using the Bayesian approach.

INTRODUCTION: Rotavirus causes substantial morbidity and mortality every year, particularly among under-five children. Despite Rotavirus immunization preventing severe diarrheal disease in children, the vaccination coverage remains inadequate in many African countries including Ethiopia. Measuring rotavirus immunization coverage in a lower geographic area can provide information for designing and implementing a targeted immunization campaign. This study aimed to investigate the spatial distributions of rotavirus immunization coverage in Ethiopia. METHODS: Rotavirus immunization coverage data were obtained from the recent Ethiopian Demographic and Health Survey (EDHS 2019). Covariate data were assembled from different publicly available sources. A Bayesian geostatistics model was used to estimate the national rotavirus immunization coverage at a pixel level and to identify factors associated with the spatial clustering of immunization coverages. RESULT: The national rotavirus immunization coverage in Ethiopia was 52.3% (95% CI: 50.3, 54.3). The immunization coverage varied substantially at the sub-national level with spatial clustering of low immunization coverage observed in the Eastern, Southeastern, and Northeastern parts of Ethiopia. The spatial clustering of the rotavirus immunization coverage was positively associated with altitude of the area [mean regression coefficient (ß): 0.38; 95% credible interval (95% CrI): 0.18, 0.58] and negatively associated with travel time to the nearest cities in minutes [mean regression coefficient (ß): - 0.45; 95% credible interval (95% CrI): (- 0.73, - 0.18)] and distance to the nearest health facilities [mean regression coefficient (ß): - 0.71908; 95% credible interval (95% CrI): (- 1.07, - 0.37)]. CONCLUSIONS: This study found that the rotavirus immunization coverage varied substantially at sub-national and local levels in Ethiopia. The spatial clustering of rotavirus immunization coverage was associated with geographic and healthcare access factors such as altitude, distance to health facilities, and travel time to the nearest cities. The immunization program should be strengthened in Ethiopia, especially in the Eastern, Southeastern, and Northeastern parts of the Country. Outreach immunization services should be also implemented in areas with low coverage.

Mapping underweight in children using data from the five Ethiopia Demographic and Health Survey data conducted between 2000 and 2019: A geospatial analysis using the Bayesian framework.

Background and aims: The Sustainable Development Goal is targeted to end all types of malnutrition including underweight by 2030. However, the reduction rate is not as expected to meet the target. Thus, we aimed to investigate the spatiotemporal distributions and drivers of underweight among children aged below 5 years in Ethiopia. Methods: Geostatistical analysis using the Bayesian framework was conducted to map the spatial and Spatiotemporal distributions of underweight. Data for the primary outcome was obtained from the Ethiopian Demographic and Health Survey 2000-2019. Covariate data were accessed from different credible online sources at high resolutions. Spatial binomial regression was fitted to identify drivers of underweight using the Bayesian approach. Results: The overall national prevalence of underweight was 44.7, 37.7, 35.4, 25.5, and 23.8% in 2000, 2005, 2011, 2016, and 2019, respectively, with a total reduction rate of 46.8%. Significant spatial clustering of underweight was observed in Northern, Northwestern, Southeastern, Eastern borders, and the border between Oromia and SNNPR regions. Mean annual temperature (mean regression coefficient (ß): -0.39; 95% credible interval (95% CrI): -0.63, -0.14), altitude (ß:-0.30; 95% CrI: 0.57, -0.05), population density (ß:-0.03; 95% CrI: -0.03, -0.02), and distance to water bodies (ß:-0.03; 95% CrI: -0.05, -0.004) were negatively associated with being underweight. However, travel time to the nearest cities in minutes (ß: 0.09; 95% CrI: 0.03, 0.14) was positively associated with being underweight. Conclusion: The national prevalence of underweight is reduced slower than expected in Ethiopia, with significant spatial variations across subnational and local levels. Temperature, altitude, population density, and distance to water bodies were negatively associated with underweight, whereas travel time to the nearest cities was positively associated with underweight in Ethiopia. Improving child nutrition through creating awareness and providing clean water should be strengthened.

COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis.

Coronavirus disease (COVID-19) is a global pandemic caused by the SARS-CoV-2 virus. COVID-19 vaccine is the best strategy for prevention. However, it remained the main challenge. Therefore, this systematic review and meta-analysis aimed to determine the overall pooled estimate of COVID-19 vaccine acceptance and its predictors in Ethiopia. Consequently, we have searched articles from PubMed, EMBASE, Web of Science, Google Scholar, reference lists of included studies, and Ethiopian universities' research repository. The weighted inverse variance random effects model was employed. The quality of studies and the overall variation between studies were checked through Joanna Briggs Institute (JBI) quality appraisal criteria and heterogeneity test (I2), respectively. The funnel plot and Egger's regression test were also conducted. Following that, a total of 14 studies with 6,773 participants were considered in the study and the overall pooled proportion of COVID-19 vaccine acceptance was 51.2% (95% CI: 43.9, 58.5). Having good knowledge (Odds ratio: 2.7; 95% CI: 1.1, 7.1; P. VALUE: 0.00), chronic disease (Odds ratio: 2; 95% CI: 1.3, 3.1), older age (Odds ratio: 1.8; 95% CI: 1.1, 3.0; P. VALUE: 0.02), and secondary education and above (Odds ratio: 3.3; 95% CI: 1.7, 6.7; P. VALUE: 0.00) were significantly associated with the acceptance of COVID-19 vaccine. In conclusion, Having good knowledge, chronic disease, older age, and secondary education and above were significantly associated with COVID-19 vaccine acceptance. Therefore, special attention and a strengthened awareness, education, and training about COVID-19 vaccine benefits had to be given to uneducated segments of the population.

Applied nutritional investigation spatial variation and determinants of stunting among children aged less than 5 y in Ethiopia: A spatial and multilevel analysis of Ethiopian Demographic and Health Survey 2019.

OBJECTIVES: 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. METHODS: 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. RESULT: 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. CONCLUSION: 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.

Spatial distribution and determinants of newbornsnot receiving postnatal check-up withintwodays after birth in Ethiopia: a spatial and multilevel analysis of EDHS 2016.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Spatial distribution and associated factors of community based health insurance coverage in Ethiopia: further analysis of Ethiopian demography and health survey, 2019.

BACKGROUND: Community-Based Health Insurance is an emerging concept for providing financial protection against the cost of illness and improving access to quality health services for low-income households excluded from formal insurance and taken as a soft option by many countries. Therefore, exploring the spatial distribution of health insurance is crucial to prioritizing and designing targeted intervention policies in the country. METHODS: A total of 8,663 households aged 15-95 years old were included in this study. The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of community based health insurance. ArcGIS version 10.3 was used to visualize the distribution of community-based health insurance coverage across the country. Mixed-effect logistic regression analysis was also used to identify predictors of community-based health insurance coverage. RESULTS: Community based health insurance coverage among households had spatial variations across the country by regions (Moran's I: 0.252, p < 0.0001). Community based health insurance in Amhara (p < 0.0001) and Tigray (p < 0.0001) regions clustered spatially. Age from 15-29 and 30-39 years (Adjusted Odds Ratio 0.46(AOR = 0.46, CI: 0.36,0.60) and 0.77(AOR = 0.77, CI: 0.63,0.96), primary education level 1.57(AOR = 1.57, CI: 1.15,2.15), wealth index of middle and richer (1.71(AOR = 1.71, CI: 1.30,2.24) and 1.79(AOR = 1.79, CI: 1.34,2.41), family size > 5, 0.82(AOR = 0.82, CI: 0.69,0.96),respectively and regions Afar, Oromia, Somali, Benishangul Gumuz, SNNPR, Gambella, Harari, Addis Ababa and Dire Dawa was 0.002(AOR = 0.002, CI: 0.006,0.04), 0.11(AOR = 0.11, CI: 0.06,0.21) 0.02(AOR = 0.02, CI: 0.007,0.04), 0.04(AOR = 0.04, CI: 0.02,0.08), 0.09(AOR = 0.09, CI: 0.05,0.18),0.004(AOR = 0.004,CI:0.02,0.08),0.06(AOR = 0.06,CI:0.03,0.14), 0.07(AOR = 0.07, CI: 0.03,0.16) and 0.03(AOR = 0.03, CI: 0.02,0.07) times less likely utilize community based health insurance than the Amhara region respectively in Ethiopia. CONCLUSION: Community based health insurance coverage among households in Ethiopia was found very low still. The government needs to develop consistent financial and technical support and create awareness for regions with lower health insurance coverage.

Pediatrics HIV-positive status disclosure and its predictors in Ethiopia: a systematic review and meta-analysis.

Introduction: HIV-positive status disclosure for children is challenging for family members, guardians, and healthcare professionals. Disclosure is very challenging, particularly for children, yet no systematic synthesis of evidence accurately measures HIV-positive status disclosure in children. This systematic review and meta-analysis study aimed to quantify the national prevalence of pediatric HIV-positive status disclosure in Ethiopia and identify factors associated with HIV-positive status disclosure. Method: We systematically searched PubMed, EMBASE, Web of Science databases, and google scholar for relevant published studies. Studies published in the English language and conducted with cohort, case-control, and cross-sectional designs were eligible for the review. The primary and secondary outcomes of the study were HIV-positive status disclosure and factors associated with HIV-positive status disclosure, respectively. The quality of the included studies was assessed using the Joanna Briggs Institute critical appraisal tools. A random effect- model was used to estimate the pooled prevalence of HIV-positive status disclosure. Heterogeneity and publication bias of included studies was determined using I2 and Egger's test, respectively. Result: From 601 records screened, nine relevant studies consisting of 2,442 HIV-positive children were included in the analysis. The overall pooled prevalence of HIV-positive status disclosure among children living with HIV/AIDS in Ethiopia was 31.2% (95% CI [23.9-38.5]). HIV-negative status of caregivers (AOR: 2.01; 95% CI [1.28-3.18]), long duration on ART (greater than 5 years) (AOR: 3.2; 95% CI [1.77-5.78]) and older age of the child (>10 years) (AOR: 7.2; 95% CI [4.37-11.88]) were significantly associated with HIV-positive status disclosure. Conclusion: Low prevalence of pediatric HIV-positive status disclosure was observed in Ethiopia. The longer duration of ART, the HIV-negative status of the caregiver, and older age greater than 10 years were the predictors of pediatric HIV-positive status disclosure. Health system leaders and policymakers shall design training and counseling programs for healthcare professionals and caregivers to enhance their awareness about HIV-positive status disclosure. Trial registration: This review was registered under PROSPERO and received a unique registration number, CRD42019119049.

The Co-Utilization of Oral Rehydration Solution and Zinc for Treating Diarrhea and Its Associated Factors Among Under-Five Children in Ethiopia: Further Analysis of EDHS 2016.

Introduction: Diarrhea causes a loss of body water and salt, which can lead to dehydration and death. The use of oral rehydration salts and zinc together is regarded as an effective treatment for diarrhea in resource-poor settings like Ethiopia. However, studies that examine the co-utilization of oral rehydration solution and zinc in the treatment of diarrhea are limited Ethiopia. Objective: To assess the prevalence and associated factors of oral rehydration solution and zinc co-utilization to treat diarrhea in children under the age of five in Ethiopia, EDHS 2016. Methods: Secondary data from the 2016 Ethiopia Demographic and Health Survey (EDHS) was used to investigate the prevalence and factors associated with the co-utilization of ORS and zinc to treat diarrhea in under-five children. A multilevel binary logistic regression model was fitted to identify factors associated with the co-utilization of ORS and zinc. Adjusted odds ratios (AOR) with 95% CI were calculated and used as a measure of associations, and variables having a p-value of less than 0.05 were declared as statistically significant. Results: The national prevalence of ORS and zinc co-utilization was 16.65% (14.66%, 18.84%). Maternal educational status (AOR = 1.45; 95% CI; (1.01, 2.09)), household size (AOR = 1.53; 95% CI; 1.09, 2.16) and distance to health facilities at the community level (AOR = 1.60, 95% CI = 1.02, 2.58) were variables significantly associated with the co-use of ORS and zinc. Conclusion: The co-utilization of ORS and zinc for the management of diarrhea was low in Ethiopia. Education, household size, and distance to health facilities at the community level were significantly associated with the co-utilization of ORS and zinc in Ethiopia.

The effect of gestational age, low birth weight and parity on birth asphyxia among neonates in sub-Saharan Africa: systematic review and meta-analysis: 2021.

BACKGROUND: Despite simple and proven cost-effective measures were available to prevent birth asphyxia; studies suggested that there has been limited progress in preventing birth asphyxia even in healthy full-term neonates. In Sub-Saharan Africa, Inconsistency of magnitude of birth asphyxia and its association gestational age, Low birth Weight and Parity among different studies has been observed through time. OBJECTIVE: This study aimed to estimate the Pooled magnitude of birth asphyxia and its association with gestational age, Low birth Weight and Parity among Neonates in Sub-Saharan Africa. METHOD: PubMed, Cochrane library and Google scholar databases were searched for relevant literatures. In addition, reference lists of included studies were retrieved to obtain birth asphyxia related articles. Appropriate search term was established and used to retrieve studies from databases. Searching was limited to cohort, cross-sectional, and case-control studies conducted in Sub-Saharan africa and published in English language. Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for critical appraisal of studies. Heterogeneity across the included studies was evaluated by using the inconsistency index (I2) test. Funnel plot and the Egger's regression test were used to test publication bias. A weighted inverse variance random effects- model was used to estimate the pooled prevalence of birth asphyxia among neonates in Sub-Saharan Africa. STATA™ version 11softwarewasused to conduct the meta-analysis. RESULT: A total of 40 studies with 176,334 study participants were included in this systematic review and meta-analysis. The overall pooled magnitude of birth asphyxia in Sub-Saharan Africa was 17.28% (95% CI; (15.5, 19.04). low birth weight (AOR = 2.58(95% CI: 1.36, 4.88)), primigravida (AOR = 1.15 (95% CI: 0.84, 1.46) andMeconium-stained amniotic fluid (AOR = 6(95% CI: 3.69, 9.74)) werevariables significantly associated with the pooled prevalence of birth asphyxia. CONCLUSION: The pooled magnitude of birth asphyxia was found to be high in Sub-Saharan Africa. Low birthweight and Meconium-stained amniotic fluid were variables significantly associated with birth asphyxia in Sub-Saharan Africa. Hence, it is better to develop early detection and management strategies for the affected neonates with low birth weight and born from mothers intrapartum meconium stained amniotic fluid.

Spatial variation and determinants of underweight among children under 5 y of age in Ethiopia: A multilevel and spatial analysis based on data from the 2019 Ethiopian Demographic and Health Survey.

OBJECTIVES: Childhood underweight is a critical public health problem that needs urgent attention in developing countries like Ethiopia. Despite its variation between localities, the determinant factors and its geospatial variation have not been adequately addressed across the various regions of the country. Therefore, the aim of this study was to investigate the spatial variation and determinant factors of underweight among children under 5 y of age in Ethiopia. METHODS: The total weighted samples of 5753 children aged <5 y were included in this study. The data were taken from the 2019 Ethiopian Demographic and Health Survey (EDHS 2019). Arc GIS software was used to analyze geospatial variations to identify the hot- and cold spot areas of underweight in Ethiopia. A multilevel multivariable logistic regression model was used to identify the determinant factors of underweight. Excel, STATA-16, and ArcGIS software were used for the data management and analysis. In the multivariable multilevel analysis, adjusted odds ratio (aOR) with 95% confidence interval (CI) was used to declare significant determinants of underweight among children aged <5 y. RESULTS: Among 5753 children aged <5 y in Ethiopia, 21.3% were underweight during the 2019 EDHS. The distribution showed that there was a geospatial variation of underweight among children aged <5 y in Ethiopia; the Global Moran's index value was 0.36 with P < 0.001. In multivariable multilevel analysis, the significant factors associated with underweight were the sex of the child (aOR, 1.25; 95% CI, 1.09-1.44); age of the child, with the highest odds of being underweight observed in the age group of 24 to 35 mo (aOR, 3.52; 95% CI, 2.60-4.74); wealth index, with poorer children having higher odds of being underweight (aOR, 2.25; 95% CI, 1.58-3.24); and the regions, with the highest odds of underweight was observed in Tigray (aOR, 5.63; 95% CI, 2.79-11.36) and Afar (aOR, 4.71; 95% CI, 2.33-9.51). CONCLUSIONS: Underweight has significant spatial variation in Ethiopia, with spatial clustering in the northern and eastern parts of the country. It is recommended that in regions like Tigray, Afar, and Somali, as well as some areas in Gambella, priority steps be taken to reduce the burden of underweight in children aged <5 y. Thus, nutritional intervention programs should be strengthened and intervention strategies developed, with special emphasis on families with poor wealth index in the hotspot areas.

Magnitude of tuberculosis and its associated factors among under-five children admitted with severe acute malnutrition to public hospitals in the city of Dire Dawa, Eastern Ethiopia, 2021: multi-center cross-sectional study.

Objective: The aim of this study was to assess the prevalence of tuberculosis (TB) and its associated factors among children under 5 years of age with severe acute malnutrition. Methods: A multi-center, institution-based, retrospective cross-sectional study was conducted at public hospitals in Dire Dawa City Administration, Eastern Ethiopia from January 1, 2018 to December 30, 2020. A binary logistic regression model was fitted to identify factors associated with the prevalence of TB. Results: The overall prevalence of TB among children under 5 years of age admitted with severe acute malnutrition to public hospitals in the city of Dire Dawa, Eastern Ethiopia was 10.39% (95% confidence interval (CI) 7.61-13.73%). Repeated admission (adjusted odds ratio (AOR) 2.5, 95% CI 1.08-6.07), a TB contact history (AOR 3.58, 95% CI 1.21-10.6), pneumonia (AOR 2.8, 95% CI 1.29-6.23), stage IV HIV/AIDS (AOR 4.41, 95% CI 1.29-15.13), and being immunized (AOR 0.19, 95% CI 0.08-0.43) were variables significantly associated with the prevalence of TB. Conclusions: The results of this study showed that the prevalence of TB among under-five children with severe acute malnutrition was high. The prevalence of TB was associated with having HIV/AIDS, having pneumonia, having a TB contact history, admission status, and immunization status. Integrated TB prevention and screening strategies with nutritional rehabilitation care should be implemented.

Spatial variation and determinates of dietary diversity among children aged 6-23 months in Ethiopia: spatial and multilevel analysis using Ethiopian Demography Health Survey (EDHS) 2019.

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.