No abstract

Background: Among the many worldwide health problems, HIV/AIDS has caused severe health problems in several countries. The problem is also widely seen in Ethiopia. The general objective of the study is to cluster HIV patients and to find out the factors that mostly affect the prevalence of HIV within a group (cluster) and between groups (clusters) of HIV patients. Methods: The study is made based on the 2016 Ethiopian Demographic Health Survey (EDHS) which was collected by the Central Statistical Agency (CSA) of Ethiopia, and the survey collected a total of 26,753 samples, of which 14,785 were women and 11,968 were men and the age group was between 15 and 49 years for both. Binary logistic regression, principal component analysis, cluster analysis, and ANOVA were applied to analyze the data. Results: The result from binary logistic regression reveals that 15 factors such as ever heard of AIDS, region, water not available for at least a day in the last 2 weeks, has a radio, family members wash their hands, location of the source of water, everything completed to water to make it harmless to drink, food cooked in the house/separate house/outside, has a mobile telephone, has a table, type of place of residence, highest education level attained, current marital status, sex of household members, and age of household members are all significant factors that affect HIV status. Conclusion: Using these significant variables, 12 principal components are identified which describe 78% of the variation in the data. The result of HIV patients are clustered into 3 clusters and determine the status of HIV levels. Mainly, cluster 2 accounts for 50% of HIV patients whereas cluster 3 and 1 accounts for 40% and 10%, respectively.

Background and Aims: Hepatitis is an inflammation of the liver that can reason a variety of health problems and can be fatal. According to the most recent estimates of the Global Burden of Disease study and WHO, viral hepatitis is accountable for around 1.34 million deaths yearly, which is comparable to the yearly number of deaths from HIV/AIDS (1.3 million), malaria (0.9 million), and tuberculosis (1.3 million). This study aimed to assess the prevalence of the Hepatitis B virus and associated risk factors among adults patients at Dessie Referral and Kemise General Hospitals. Methods:The source for the data on Hepatitis B virus (HBV) was all adults aged≥18 years that were admitted and tested for HBV from September 2020 to February 2021 were included in the study. A total of 1283 adults were admitted out of which, 1080 adults have completed measurements and had been taken into consideration for this examination, and others had been excluded from the examination because of exclusion criteria. To meet our objective descriptive statistics, the χ 2 test and multiple logistic regression statistical models were used for data analysis.Results: In this study, a total of 1080 adults were included out of which 631 (58.4%) female and 449 (41.6%) were male with a mean age of 34(SD ±± 12.56) years. The overall prevalence of HBV among adults was 27.4% (95% confidence interval [CI];24.8-30.2). The results of this study showed that age 25-34(odds ratio[OR] = 3.6, p-value = 0.005), 35-44 (OR = 6.67, p-value <0.001), ≥45 (OR = 3.85, p-value = 0.005), male (OR = 4.36, p-value < 0.001), history of hospitalization (OR = 0.644, p-value = 0.04), family history of HBV (OR = 1.96, p-value = 0.005), and jaundice (OR = 2.50, p-value = 0.005) were significant risk factors of HBV. Conclusion:The prevalence of HBV in this study is 27.4%. The results of this study showed that age, male, history of hospitalization, family history of HBV, and jaundice were significant risk factors for Hepatitis B virus.

No abstract

No abstract

HIV/AIDS continues to be a major public health concern and cause of death in the world. Even- though WHO recommended viral load testing as the preferred monitoring approach to diagnose and confirm ARV treatment failure, but in most cases, factors influencing the trend of viral load were not well identified. The main objective of this study was to modeling the change of viral load and identifying its associated factors among HIV positive patients. In this retrospective longitudinal data analysis, data was collected from 287 HIV positive patients registered for ART between January 2017 and June 2019 in Zewditu hospital and unstructured covariance structure was parsimonious for the data. linear mixed model with different random effect were applied to the data. Linear mixed model with random intercept and slope were selected as a best model to fit the data based on different model selection criteria. The findings of the study revealed that there was a decrement over time in the log VL of patients with HIV on ART. Furthermore, time, baseline CD4 count, WHO clinical stage, functional status of the patient, adherence, smoking status, initial ART Regimen and Time interaction with adherence and WHO stage were found to be significant predictors of log VL evolution. Therefore, Patients should take ART regimens with good adherence to decrease their viral load over time.

Background: Job satisfaction is the most interesting field for many researchers to study work attitude in workers. Employee job satisfaction is fulfillment, gratification, and enjoyment that comes from work. The main objective of this study is to identify and analyze the determinant factors leading to academic staff’s satisfaction and turnover intention in the Amhara regional state universities.Methods: The study was conducted in seven Amhara regional state government universities. Cross-sectional stratified sampling design was used. The stratum is based on these seven universities in Amhara regional state. In this investigation, ordinal logistic regression model was used.Results: The study covers 620 respondents from September 2016 up to August, 2017. The sample staffs surveyed from UOG, BDU, Wollo, Debre-Birihan, Debre-Markos, Debre-Tabor and Welidiya University were 21.3%, 23.7%, 9.4%, 7.6%, 14.5%, 12.1% and 11.5%, respectively. From these total respondents, 34.4% were satisfied with their job. From the total sample staff surveyed in the study, 26.0% were dissatisfied. 9.2%, 29.8% and 0.6% of the respondents were very dissatisfied, neutral and very satisfied in their jobs, respectively. 38.5% of the respondents were very eager to leave their job areas.Conclusions: The independent variables sex, age, place of birth, employer University, job position, responsibility, advancement, salary, achievement, work condition, work itself and turnover have significant relation with an academic job satisfaction.

Background This study assessed the impact of repeated biomarker measurements of statistical joint modeling on survival time-to-death and determines potential predictors of HIV/AIDS patients on ART in Mekelle General Hospital Ethiopia. Methods A retrospective cohort study was conducted among HIV/AIDS patients who were under ART follow-up during September 11, 2013 - September 5, 2016 at Mekelle General Hospital, Ethiopia. The two repeated biomarkers of longitudinal measurements and survival outcome with separate univaraite longitudinal modeling approach and statistical joint modeling approach were used to fit simultaneously. A total of 216 HIV/AIDS patients were selected by using systematic random sampling technique from ART follow-up. Results The relationship between the two biomarkers CD4 cell and body weight with risk for survival time-to-death were statistical insignificant. Thus, death is less probable to occur in HIV/AIDS patients with higher value of CD4 cell count and body weight progression. In event process the sub-model, Baseline CD4, Fair and Good Adherence, HIV/TB (yes) and Sex (male) were significant factors of risk to short survival Time-to-Death on HIV/AIDS patients. In the 1st longitudinal process sub-model, Baseline CD4, Ambulatory functional status, HIV/TB (yes), Time*Ambulatory functional status, Time*Working functional status and Time*Baseline CD4 were the significant factors of \sqrt{CD4 cell } count progression. Moreover, In 2nd longitudinal process sub-model, visit Time of follow-up, Age, Sex (male), Baseline weight, Time*Ambulatory and Time*Working functional status were the significant factors of log 10(body weight) progression. Conclusion Both governmental and non-governmental stakeholders should pay special attention for HIV positive adults, especially for those who had developed HIV/TB, male, bedridden functional status, poor adherence and lower Baseline CD4 cell count progression so that mortality due to HIV/AIDS optimally reduced.