Background Infant mortality is defined as the death of a child at any time after birth and before the child’s first birthday. Sub-Saharan Africa has the highest infant and child mortality rate in the world. Infant and child mortality rates are higher in Ethiopia. A study was carried out to estimate the risk factors that affect infant mortality in Ethiopia. Method The EDHS− 2016 data set was used for this study. A total of 10,547 mothers from 11 regions were included in the study’s findings. To estimate the risk factors associated with infant mortality in Ethiopia, several count models (Poisson, Negative Binomial, Zero-Infated Poisson, Zero-Infated Negative Binomial, Hurdle Poisson, and Hurdle Negative Binomial) were considered. Result The average number of infant deaths was 0.526, with a variance of 0.994, indicating over-dispersion. The highest mean number of infant death occurred in Somali (0.69) and the lowest in Addis Ababa (0.089). Among the multilevel log linear models, the ZINB regression model with deviance (17,868.74), AIC (17,938.74), and BIC (1892.97) are chosen as the best model for estimating the risk factors affecting infant mortality in Ethiopia. However, the results of a multilevel ZINB model with a random intercept and slope model revealed that residence, mother’s age, household size, mother’s age at first birth, breast feeding, child weight, contraceptive use, birth order, wealth index, father education level, and birth interval are associated with infant mortality in Ethiopia. Conclusion Infant deaths remains high and infant deaths per mother differ across regions. An optimal fit was found to the data based on a multilevel ZINB model. We suggest fitting the ZINB model to count data with excess zeros originating from unknown sources such as infant mortality.

Background Tetanus is a deadly bacterial infection caused by Clostridium tetani wound contamination characterized muscular spasms and autonomic nervous system dysfunction. Maternal and neonatal tetanus occurs under improper hygiene practices during childbirth. Globally, an estimated 3.3 million newborn deaths occur every year, and about 9,000 babies die every day in the first 28 days of life. This study sought to identify risk factors associated with the immunization of rural women against tetanus in rural areas in ten East African countries. Method The data used in this study were taken from the Demographic and Health Survey (DHS) of ten East African countries (Ethiopia, Burundi, Comoros, Zimbabwe, Kenya, Malawi, Ruanda, Tanzania, Uganda and, Zambia). Multivariable binary logistic regression is used to determine the risk factors associated with tetanus-protected women in east Africa. Results The weighted total samples of 73735 rural women were included in the analysis. The combined prevalence of tetanus immunization among protected rural women in ten East African countries was 50.4%. Those women with age of 24–34 (AOR = 0.778; 95%CI: 0.702–0.861), higher educational level (AOR = 4.010; 95%CI: 2.10–5.670), rich women (AOR = 3.097;95%CI: 2.680–3.583), mass media coverage (AOR = 1.143; 95%CI: 1.030–1.269), having above three antenatal care follow up (AOR = 1.550; 95% CI: 1.424–1.687), big problem of distance to health facility (AOR = 0.676; CI: 0.482–0.978) and place of delivery health facility (AOR = 1.103; 95% CI: 1.005–1.210) had a significant effect on women’s protected from tetanus. Conclusion The coverage of tetanus immunization in East Africa was very low. Public health programs target rural mothers who are uneducated, poor households, longer distances from health facilities, mothers who have the problem of media exposure, and mothers who have not used maternal health care services to promote TT immunization.

BackgroundPostpartum depression (PPD) is a non-psychotic depressive disorder of variable severity, and it can begin as early as 2 weeks after delivery and can persist indefinitely if left untreated. In Ethiopia, the prevalence of postpartum depression is high. There is a dearth of literature to determine factors associated with postpartum depression in Ethiopia, specifically in the study area.ObjectiveThis study aimed to identify factors associated with postpartum depression among mothers in Debre Tabor Town, Northcentral Ethiopia.MethodA community-based unmatched case-control study was conducted among mothers who were living in Debre Tabor Town and fulfilled the inclusion criteria. Postpartum mothers were selected using a simple random sampling technique from the listed sampling frame at the health center. Then, the sample cases and controls were interviewed until the sample size was fulfilled by using a consecutive sampling method. The data were entered into the EPI data version 4.6 and then imported and analyzed using SPSS version 25. Descriptive statistics of different variables were done by cross-tabulation. Binary logistic regression was used to assess the determinant factors with the outcome variable. A P-value of < 0.05 was considered to declare statistical significance.ResultsA total of 308 postnatal mothers living in Debre Tabor Town were included, with a 97.5% response rate. History of substance use in the previous 3 months (AOR: 6.47, 95% CI; 2.61, 15.74), current baby illness (AOR: 3.9, 95% CI; 1.5, 10.12), marital dissatisfaction (AOR: 2.41, 95% CI; 1.22, 4.75), unplanned current pregnancy (AOR: 3.46, 95% CI; 1.32, 9.12), and breastfeeding (AOR: 0.22, 95% CI; 0.09, 0.55) were independent factors that affected the occurrence of PPD.ConclusionThis study revealed that a recent history of substance use (in the past 3 months), current baby illness, marital satisfaction, unplanned current pregnancy, and breastfeeding were associated with postpartum depression. Healthcare providers working in maternal and child health clinics and health extension workers should give special attention to postpartum mothers who have had a history of substance use, current baby illness, unplanned pregnancy, non-breastfeeding mothers, and mothers with poor marital satisfaction.

Background. Heart failure is a progressive condition marked by worsening symptoms such as shortness of breath, coughing, exhaustion and lethargy, fluid retention with swelling of the legs and abdomen, and a reduced ability to exercise. As a result, this study aims to use a joint model application to determine the joint risk factors of longitudinal change in pulse rate and time to death of congestive heart failure patients and their association admitted to a hospital. Methods. A retrospective study was undertaken on congestive heart failure patients admitted to the Debre Tabor Referral Hospital from January 2016 to December 2019. A statistical joint modeling strategy was employed to match the repeated biomarker pulse rate and a survival outcome at the same time. A total of 271 patients with congestive heart failure were chosen. Data were analyzed with R statistical software via joineRML. Results. According to the findings, the association between longitudinal changes in pulse rate and time to death in heart failure patients is statistically significant. Sex, residence, left ventricular injection fraction, New York Heart Association class, and diabetes mellitus were all found to be significant risk factors for congestive heart failure patients’ short survival time to death. Age, sex, residence, hypertension, left ventricular injection fraction, congestive heart failure, diabetes mellitus, tuberculosis, and etiology were all significant contributors in pulse rate progression. Conclusion. The computed association parameters revealed subject-specific values. The subject-specific linear time slope of PR measurement was positively related to the hazard rate of time to death of CHF patients in the study area. To reduce the risk level of CHF, health professionals, governmental organizations, and nongovernmental organizations must promote and allocate a suitable amount of budget for the treatment of CHF patients.

Introduction Low birth weight is one of the important predictors of perinatal survival, infant morbidity, and mortality, as well as the risk of developmental disabilities and diseases in the future. Objective(s) The study aimed to identify the associated factors of low birth weight among newborns at Debre Tabor referral hospital, Northwest Ethiopia. Methods A hospital-based cross-sectional study was conducted from January 1, 2021 to October 30, 2021 at Debre Tabor Referral Hospital. A total sample of 420 newborn birth records was considered. The binary logistic regression model was used to assess the associated factors of low birth weight. The results are presented as crude odds ratios and adjusted odds ratios (AOR) together with their corresponding 95% confidence intervals. Results In this study, 422 participants were included. Rural residence (AOR = 2.01; 95%CI 1.10–3.69), married marital status (AOR = 0.82; 95%CI 0.78–0.86), formal education (AOR = 0.79; 95%CI 0.67–0.92), smoking during pregnancy (AOR = 1.19; 95%CI 1.07–1.33), attended antenatal care (ANC) visits (AOR = 0.57; 95%CI 0.35–0.91), diabetes during pregnancy (AOR = 4.34; 95%CI 3.50–5.39), iron supplementation (AOR = 0.23; 95%CI 0.20–0.25), and maternal history of anemia (AOR = 5.87; 95%CI 2.67–12.89) were significantly associated with low birth weight of newborns. Conclusion This finding showed that residence, marital status, educational status, smoking during pregnancy, ANC visit, diabetes during pregnancy, iron supplementation, and mother's history of anemia were significantly associated with low birth weight. Therefore, policy makers and public health experts/practitioners should plan smoking preventive public health promotion campaigns. Furthermore, it is important that all health professionals properly manage the possible cause of LBW during pregnancy.