Hepatitis B virus (HBV) remains a major global health problem. More than three-quarters of HBV infection occur in Asia, the Middle East and Africa. Healthcare workers (HCWs) are at risk of acquiring HBV, hepatitis C (HCV) and human immunodeficiency virus (HIV) infections via exposure to patients’ blood and bodily fluids. HBV infection is a recognized occupational hazard, and non-immune health professionals are at risk of acquiring the infection from their work. This study was intended to assess the level of HBV vaccination status and factors affecting the vaccination status of health care workers in Shashemene Zonal Town. Institution based cross-sectional study was conducted and a simple random sampling technique was used to select study subjects. A total of 423 HCWs were enrolled in the study. A structured and pre-tested questionnaire was used to collect the required information through a face to face interview. Finally, data were processed and analyzed using Epi info version 7 and SPSS version 21. Both bivariate and multivariable logistic regression analyses were used to assess the effect of the various factors on vaccination status of HCWs. p value ≤0.05 at 95% CI was considered statistically significant. Overall, 53 (12.9%) respondents were found to be fully vaccinated. The multivariable logistic regression showed that, those respondents who are female, had ≥10 years of work experience and those working at governmental health care institutions were significantly associated with vaccination status (AOR = 3.84, 12.51, 2.45 respectively). Our study revealed that vaccination status of subjects was below the WHO’s estimation of vaccination rate among HCWs in developing countries and was very poor when compared with other countries. This is a serious public health problem and challenge for a country with high prevalence of hepatitis B infection.

Background: Preterm related complications are the single largest direct cause of neonatal deaths throughout the world, responsible for 35% of the world’s neonatal death (1.1 million deaths/year). In Ethiopia preterm related complications are still the leading cause of neonatal mortality. Identifying the hazard time to death and predictors of mortality play an important role to decrease preterm mortality. Therefore, this study aimed to determine the survival and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. Method: An institutional based prospective follow up study was conducted among 358 preterm neonates admitted to selected public hospitals of Addis Ababa, Ethiopia from February 12 to May 12, 2021. Systematic random sampling was used to recruit each sample and data was collected prospectively using structured questioner. Epi-data version 4.6 and STATA version 16 was used to data entry and analysis respectively. Kaplan Meier failure curve, Log rank tests were computed. Schoenfeld residual test was used to check overall model fitness. Cox proportional hazards models were fitted to identify independent predictors of preterm mortality. Result: At the end of this cohort, 125(34.9%) of the neonates died, with incidence rate of 36.4/1000 (CI: 0.031–0.044) person-day with the median time to death of 6 days. Born from antepartum hemorrhage mother (AHR: 3.1, CI; 1.4–6.6), lack of Kangaroo mother care (AHR: 5.8, CI; 2.37–14.33), unable to start feeding with in 24 h of admission (AHR: 6.4, CI: 3.33–12.28), apnea (AHR: 2.4, CI: 1.3–4.7) and dehydration (AHR: 2.33, CI: 1.3–4.3) were the identified predictors of time to death. Conclusion and recommendation: The first 7 days of admission was the hazard time to death with median time of 6 days. Being born to antepartum hemorrhage mother, lack of Kangaroo mother care, unable to start feeding with 24-h, Apnea and dehydration were the predictors of time to death. Therefore, intervention that focuses on the identified predictors could have a paramount effect to prolong time to death and reduce preterm mortality.

Background: Co-infection of tuberculosis and HIV has a significant impact on public health. TB is the most common opportunistic infection and the leading cause of death in HIV-positive children worldwide. But there is paucity of studies concerning the predictors of mortality among TB-HIV co-infected children. This study aimed to determine the predictors of mortality among TB-HIV co-infected children attending ART clinics of public hospitals in Southern Nation, Nationalities and Peoples Region (SNNPR), Ethiopia. Methods: A hospital-based retrospective cohort study design was used among 284 TB-HIV co-infected children attending ART clinics at selected public hospitals in SNNPR, Ethiopia, from January 2009 to December 2019. Then, medical records of children who were TB/HIV co-infected and on ART were reviewed using a structured data extraction tool. Data were entered using Epidata 4.6 and analyzed using SPSS version 23. The Kaplan Meier survival curve along with log rank tests was used to estimate and compare survival time. Bivariable and multivariable analyses were conducted to identify predictors of mortality among TB/HIV co-infected children. Adjusted Hazard Ratio with p value < 0.05 and 95% confidence interval was considered statistically significant. Result: A total of 284 TB/HIV co-infected children were included in the study. Among these, 35 (12.3%) of them died during the study period. The overall mortality rate was 2.78 (95%CI = 1.98-3.99) per 100 child years of observation. The predictors of mortality were anemia (AHR = 3.6; 95%CI: 1.39-9.31), fair or poor ART drug adherence (AHR = 2.9; 95%CI = 1.15-7.43), extrapulmonary TB (AHR = 3.9; 95%CI: 1.34-11.45) and TB drug resistance (AHR = 5.7; 95%CI: 2.07-15.96). Conclusion: Mortality rate of TB/HIV co-infected children in selected public hospitals in SNNPR, Ethiopia was documented as 2.78 per child years of observation as a result of this study. Moreover, Anemia, drug resistant tuberculosis, extrapulmonary TB and poor adherence to ART drugs were identified as the predictors of mortality among these children.

Objective: The purpose of this study was to determine the magnitude and determinants of urban household food insecurity in East Africa.Design: Systematic review and meta-analysis.Setting: Studies conducted in East Africa.Participants: Seventeen studies (fifteen cross-sectional and two cohort) that enrolled 156 996 households. We used the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines to search electronic databases (PubMed, Cochrane Library, EMBASE, CINAHL, African Journals OnLine, Web of Science, Scopus and Google Scholar; date of last search: 10 June 2020) for studies reporting the prevalence and associated factors of urban household food insecurity.Results: A total of 17 studies with 156 996 households from 8 countries were used for the analysis. The pooled prevalence of urban household food insecurity in East Africa was 60·91 % (95 % CI 47·72, 74·11; I² = 100 %; P < 0·001) where the highest (91 %) and lowest (36·5 %) was observed in Sudan and Burundi, respectively. Household head educational status (illiterate) (AOR = 2·53; 95 % CI 2·11, 2·95, I² = 90 %; P < 0·01), female as household head (AOR = 1·45; 95 % CI 1·16, 1·75; I² = 0·0 %; P = 0·993), large family size (AOR = 1·43; 95 % CI 1·09, 1·76, I² = 0·0 %; P = 0·863) and poorest wealth quantile (AOR = 3·95; 95 % CI 1·93, 5·98; I² = 57·2 %, P = 0·053) were factors which significantly increased odds of urban household food insecurity in East Africa.Conclusions: The prevalence of urban household food insecurity in East Africa remains high. Therefore, policies and intervention programmes should be designed to reduce the high burden of food insecurity among urban households considering the identified factors.

The prevalence of childhood obesity has more than doubled since it was formally recognized as a global epidemic in 1997. With the increasingly dwindling space for private schools in Ethiopia, unresolved concerns exist among the public regarding the possible effect of limited play areas in schools on overweight/obesity. This study intended to determine and compare the levels of overweight/obesity among adolescents in private schools with and without adequate play area in Addis Ababa, Ethiopia. A school-based comparative cross-sectional study was conducted among 1,276 adolescents. Twenty private schools were grouped into 2 groups based on the size of the play area. Data were collected using a pre-tested questionnaire and anthropometric measurements and analyzed using descriptive statistical tests and logistic regression. The magnitude of overweight/obesity was significantly higher in schools with inadequate play area (19.4%; 95% confidence interval [CI], 16.4 to 22.7) than in schools with adequate play area (14.6%; 95% CI, 11.9 to17.5). Inadequacy of the play area was also positively associated with overweight/obesity in the multiple logistic regression analysis (odds ratio [OR], 1.62; 95% CI, 1.05 to 2.51). Using private car transportation to and from school (OR, 2.27; 95% CI, 1.13 to 4.57), father's educational status (secondary school and above: OR, 2.54; 95% CI, 1.14 to 5.62), and middle wealth quintile (OR, 2.54; 95% CI, 1.50 to 4.33) were other factors significantly associated with overweight/obesity. Inadequate play area in schools was an important contributor to overweight/obesity. Sedentary behavior was also significantly associated with overweight/obesity.

Background: The coronavirus disease 2019 (COVID-19) pandemic has disrupted lives across all countries and communities. It significantly reduced the global economic output and dealt health systems across the world a serious blow. There is growing evidence showing the progression of the COVID-19 pandemic and the impact it has on health systems, which should help to draw lessons for further consolidating and realizing universal health coverage (UHC) in all countries, complemented by more substantial government commitment and good governance, and continued full implementation of crucial policies and plans to avert COVID-19 and similar pandemic threats in the future. Therefore, the objective of the study was to assess the impact of good governance, economic growth and UHC on the COVID-19 infection rate and case fatality rate (CFR) among African countries. Methods: We employed an analytical ecological study design to assess the association between COVID-19 CFR and infection rate as dependent variables, and governance, economic development and UHC as independent variables. We extracted data from publicly available databases (i.e., Worldometer, Worldwide Governance Indicators, Our World in Data and WHO Global Health Observatory Repository). We employed a multivariable linear regression model to examine the association between the dependent variables and the set of explanatory variables. STATA version 14 software was used for data analysis. Results: All 54 African countries were covered by this study. The median observed COVID-19 CFR and infection rate were 1.65% and 233.46%, respectively. Results of multiple regression analysis for predicting COVID-19 infection rate indicated that COVID-19 government response stringency index (β = 0.038; 95% CI 0.001, 0.076; P = 0.046), per capita gross domestic product (GDP) (β = 0.514; 95% CI 0.158, 0.87; P = 0.006) and infectious disease components of UHC (β = 0.025; 95% CI 0.005, 0.045; P = 0.016) were associated with COVID-19 infection rates, while noncommunicable disease components of UHC (β = −0.064; 95% CI −0.114; −0.015; P = 0.012), prevalence of obesity among adults (β = 0.112; 95% CI 0.044; 0.18; P = 0.002) and per capita GDP (β = −0.918; 95% CI −1.583; −0.254; P = 0.008) were associated with COVID-19 CFR. Conclusions: The findings indicate that good governance practices, favourable economic indicators and UHC have a bearing on COVID-19 infection rate and CFR. Effective health system response through a primary healthcare approach and progressively taking measures to grow their economy and increase funding to the health sector to mitigate the risk of similar future pandemics would require African countries to move towards UHC, improve governance practices and ensure economic growth in order to reduce the impact of pandemics on populations.