PREVALENCE AND ASSOCIATED FACTORS OF HEPATITIS B AND HEPATITIS C VIRUS INFECTIONS AMONG PATIENTS ATTENDING WOLKITE UNIVERSITY SPECIALIZED HOSPITAL, GURAGE ZONE, SOUTHERN CENTRAL ETHIOPIA
Bibliographic record
Abstract
Back ground: Hepatitis B and c viruses account for a higher proportion hepatitis cases which is major causes of morbidity and mortality worldwide. Studies IN Ethiopia showed that 11-12% and 12% prevalence of HBV in the general population and hospital adulated respectively. About 31% of medical wards patients mortality was due to chronic liver disease associated with HBV and HCV infection. Objectives: The aim of the study wasto assess prevalence and associated factors of HBV and HCV infection among patients tending wolkite university specialized hospital ,Gurage zone, southern central Ethiopia. Method and material: Cross sectional study was conducted on 310 patients in wolkite university specialized hospital . Socio-demographic data was collected using closed face to face interview question. Three to five militer of blod sample was collected for determination of HBVand HCV aerostats. SPSS version 20 statistical software packages was used for analysis. Descriptive statistics like frequencies and proportions was used to summarize the data. Bivariate and multivariate analyses was used to examine the relationship between the dependent variables and selected socio-demographic factors. Results: The overall prevalence of HBsAg and anti-HCV among patients in wolkite university specialized hospital was 28(9.03%) and 27(16.074%) respectively. The detection rate of HBsAg and anti-HCV in female participants was 19(6.7%) and 24(18.1%), whereas it was 9(3.2%) and 5(10.9) among males respectively. Sex, chew chat, marital status were found to be associated to HBV and HCV infections. Conclusion: This study showed intermediate prevalence of hepatitis B and hepatitis C virus28(9.03%), 27(16.074%) respectively among study participants in wolkite university specialized hospital, gurage zone, SNNPR, Ethiopia
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".