Spatial disparity and associated factors of diarrhea among under-five children in Rwanda: a multilevel logistic regression analysis.

BACKGROUND: Diarrhea, defined as three or more loose stool per day, is a major cause of child mortality. Exploring its spatial distribution, prevalence, and influencing factors is crucial for public health decision and targeted interventions. This study aimed to investigate these aspects using 2019 Rwanda demographic health survey data. METHOD: A total 7,978 (weighted) under-five children were included in this study. Spatial clustering (hotspots areas) were mapped using ArcGIS and SaTscan software. A multilevel logistic regression model was fitted to assessed factors associated with diarrhea, reporting significance at p < 0.05 and a 95% confidence interval. RESULTS: diarrheal diseases in Rwanda showed a clustered spatial pattern (Moran's I = 0.126, p = 0.001), with the primary cluster in west and north provinces. Under-five diarrhea prevalence was 14.3% (95% CI: 13.55, 15.08). Factors increasing likelihood included maternal age 15-34 years, child age 7-24 months, while full immunization was protective (aOR = 0.74, 95% CI: 0.56, 0.98). CONCLUSION: Spatial clustering of diarrheal diseases is found in west and north provinces of Rwanda. Being born to a young mother, being a child aged 7-24 months, being fully immunized, being born to a low-educated mother and belonging to a community having low level education are factors associated with diarrheal diseases in Rwanda. Developing interventional plans based on identified clusters and approaching children based on their immunization status, maternal education and age could be cost-effective in reducing diarrheal diseases in Rwanda. Location based intervention could allow for the efficient allocation of resources by focusing on areas with higher prevalence and need.

Time to death and its determinants of under-five children in rural Ethiopia by using shared frailty.

Under-five (U5M) is one of the most significant and sensitive measures of the community's health. Children who live in rural areas are more likely than those who live in urban areas to die before the age of five. Therefore, the study aimed to assess the Survival status of under-five mortality and its determinants in rural Ethiopia. The 2019 Ethiopia Mini Demographic and Health Survey was used in this study as a secondary source (EMDHS). A total of 4426 weighted under-five children were included in the study. To determine survival time and identify predictors of death among children under the age of five, the Cox's gamma shared frailty model and the Kaplan Meier model, respectively, were used. An adjusted Hazard Ratio (AHR) along with a 95% Confidence Interval (CI) were used to measure the size and direction of the association. The Study showed that in rural Ethiopia, 6.03% of children died before celebrating their first birthday. The median age of under-five mortality in rural Ethiopia was estimated to be 29 Months. The hazard of death among under-five children and those who had given birth to two children in the last five years was 4.99 times less likely to be at risk of dying than those who had given birth to one Child in the previous five years (AHR 4.99, 95% CI 2.97, 8.83). The Study Concluded that under-five mortality remained high in rural Ethiopia. In the final model, the Age of Mothers, Sex of Household, Breastfeeding, Types of Birth, Sex of Child, Educational Level of Mothers, Wealth Index, Child ever born, Marital Status, and Water Source were significant predictors of under-five mortality. Twins and children who are not breastfed should receive additional attention, along with improving water resources for households and mothers income.

Multilevel analysis of factors associated with pregnancy termination in Ethiopia.

Background: Pregnancy termination is a major public health issue that affects maternal mortality around the world. So the study aimed to identify factors that are associated with pregnancy termination in Ethiopia. Methods: Community-based crossectional data came from Ethiopia's Mini Demographic and Health Survey 2019. The current study's sample included women who had their pregnancy terminated (aged 15-49) and had complete information on all factors of interest (N = 8885). The binary logistic regression model investigated the factors that contribute to pregnancy termination in Ethiopia and multilevel logistic regression were used to identify regional variation in Ethiopia. Results: The current study showed that the prevalence of pregnancy termination in Ethiopia was 8.6%. The likelihood of pregnancy termination in uneducated women was 1.5 times (AOR = 1.479, 95% CI = 1.205-1.816) lower than in women who attended elementary school, 1.5 (AOR = 1.476, 95% CI = 1.107-1.969) lower than Secondary attended women and 1.8 times (AOR = 1.755, 95% CI = 1.270-2.427) lower than Higher school attended women. The likelihood of pregnancy termination in rural women was 0.8 times (AOR = 0.753, 95% CI = 0.573-0.990) higher than in urban women. Conclusion: The current study showed that there was regional Variation among women in Ethiopia to terminate the pregnancy. The characteristics of education level, place of residency, marital status and contraceptive knowledge are significant and differ between regions of the country. As a result, increasing contraception use and enhancing women's knowledge are the most effective ways to avert the problem.

Determinant factors of under-five mortality in rural Ethiopia.

Background: Under-five mortality is a crucial sign of how well a country's healthcare system is performing. Despite a slight drop, Ethiopia's under-five mortality rate is still high in the nation's rural areas. So this study aimed to identify determinant factors of under-five mortality in rural Ethiopia. Methods: A cross-sectional community-based survey was carried out. A total of 4414 weighted under-five children from nine geographical regions and one administrative city of Ethiopia were included in the EMDHS 2019 dataset by removing urban residents. The statistical program SPSS version 26 was used to examine the data. To determine if the dependent and independent variables are associated with one another, binary and multivariable logistic regression was utilized. Results: Out of 4414 total under-five children, 267(6%) of them were dead before the age of five years. Of all, 4414 (46.6%) respondents were from Tigray, Oromia, Amhara, and SNNP. Nearly Three-fourth of respondents were in the age group between 15-34 years (78%). The odd ratio of under-five mortality of Elementary school attended women was 0.31(AOR = 0.31, 95% CI= (0.16, 0.62)) times less likely than No educated women. Women who attended Secondary school was 0.09(AOR = 0.09, 95% CI= (0.05, 0.15)), Women who attended Higher school was 0.27(AOR = 0.09, 95% CI= (0.13, 0.58)) times less likely than women had no formal education. Conclusion: Conclusion: From the current study the researcher Conclude that under-five mortality was very high in rural Ethiopia. The mothers' educational level, Ages of mothers, marital status, breastfeeding, birth type, Source of water, toilet facility and Place of delivery were major determinant factors of under-five mortality. This research suggests that encouraging women to birth in health facilities and expanding possibilities for mothers' education for rural residents will assist to lessen the burden of under-five mortality.

The factors associated with under-five mortality in Ethiopia.

Background: Under-five mortality refers to the likelihood of dying between the ages of birth and five. The number of children under the age of five who die each year continues to climb worldwide. Over the previous few decades, the industry has made great progress in reducing mortality among children under the age of five. The study aims to identify the factors associated with under-five mortality in Ethiopia. Subject and method: Community-based Cross-sectional data came from Ethiopia's Mini Demographic and Health Survey 2019. In two stages, the 2019 EMDHS sample was stratified and selected. 8855 women of reproductive age were interviewed using a nationally representative Woman (ages 15 to 49) and 5753 children were included. Ethiopia's under-five mortality served as the study's dependent (response) or outcome variable. Binary logistic regression was used to see if there is an association between the dependent and independent variables. All variables with a p-value of less than 0.25 in the bivariate analysis were chosen for the multivariable logistic regression to compensate for putative confounders. Significant predictors were defined as factors with a p-value of less than 0.05. Results: A total of 5753 under-5 mortality were enrolled in this study. 339 (5.9%) of under-five Mortality have been declared lifeless before reaching the age of five. There were 1328(23.1%) and 4425(76.1%) with 72 (5.42%) and 267 (6.02%) of under-five mortality occurring in urban and rural respectively. Under-five mortality in the Afar region was 2.280 times more likely Compared to Children born in Tigray Region (AOR = 2.280 95% CI = 1.137-4.568, P = .020). Under-five Mortality in Rural residences was 1.908 times more likely as Compared to Urban Residence (AOR = 1.908, 95% CI = 1.257-4.539, P = .035). Under-five mortality in Poorer index Households was 0.343 times Less likely as compared to children born in the poorest index Household (AOR = 0.343,95% CI = 0.128-0.910, P = ). Under-five mortality in the public sector was 1.763 times less likely than among children born at Home (AOR = 1.763, 95% CI = 1.252-2.482, P = .033). Under-five Mortality of second multiple births was 2.389 times more likely Compared to Single birth (AOR = 2.389, 95% CI = 1.257-4.539, P = .008). Conclusion: This study found that the prevalence of under-five mortality, is 5.9% (59/1000) or 59 death per one thousand live children in Ethiopia. The under-five mortality rate is rapidly declining, and access to and utilization of health care is improving. Region, residence, level of education, wealth index, Place of Delivery and multiple births have all been statistically significant factors of under-five mortality in Ethiopia. The government and all stockholders should be given attention to maternal and infant health care to reduce under-five mortality.

The factors associated with antenatal care utilization in Ethiopia.

Background: Antenatal care (ANC) is the provision of health services to pregnant women by trained health professionals before the birth of their babies to reduce maternal mortality and morbidity. So, the study aimed to identify the factors associated with Antenatal care utilization in Ethiopia. Methods: A Community-based Crossectional study design was used for 8885 women aged 15 to 49. The dependent variable was the utilization of Antenatal care services. Independent variables were Socio-demographic and Socioeconomic factors. The data was from the 2019 Ethiopian Mini demographic and health survey. Bivariate and multilevel binary logistic regression was used. Results: Out of 8885 of all women considered for this study, 3910(44%) were utilized Antenatal Care (ANC) four or more times. 72.81% of the women were aged 15-34 years. On the other hand, high portions of women were from Amhara, Oromia and Southern Nations Nationalities Regional State with their respective percentages of 10.7%, 11.8% and 11.3%. Women from Somalia Region were 0.285 times less likely to utilize Four or more Antenatal Care (ANC) as Compared to a Women from Tigray Region [AOR = 0.285, 95% CI = 0.109-0.747]. Conclusion: The utilization of the Antenatal Care service was underutilized in Ethiopia. Education status, Ages of mothers, Size of family, Religion and Place of Residence were major Factors of influenced ANC utilization. The concerned government body should also create a better environment for impoverished women to participate in entrepreneurial activities.