Hepatitis E virus and Zoonosis: Recent Advances and Therapeutic Implications
Bibliographic record
Abstract
Hepatitis E is viral hepatitis caused by infection with the hepatitis E virus (HEV). This article aims to review HEV disease and recent advances in the management of hepatitis E. We used PubMed Clinical Queries and keywords of "hepatitis E", "hepatitis E virus" AND "zoonosis" as the search engine. "Therapy", "Clinical Prediction Guides", "Diagnosis", "Etiology" and "Prognosis" were used as filters, and "Narrow" scope was used. The search was conducted in April 2022. The information retrieved from the above search was used in the compilation of the present article. Hepatitis E is viral hepatitis caused by infection with the hepatitis E virus (HEV). Hepatitis E has mainly a fecal-oral transmission route. Hepatitis E infection usually follows an acute and self-limiting course of illness with low death rates in resource-rich areas; however, it can be more severe in pregnant women and immunocompromised people. The mortality rates in these groups are substantially higher. A vaccine for HEV is available but is not universally approved. Ribavirin remains the most efficacious medication for the treatment of HEV but is contraindicated in pregnancy. Sofosbuvir and pegylated interferon, with or without ribavirin, have not been shown in the latest literature reviews to provide reliable additional benefits to the treatment of hepatitis. Sofosbuvir should not be used as monotherapy for HEV. Food is an important source of infection in many countries while rats are the primary vector in developing nations. Management must include an understanding of the rat habitats for this zoonotic disease. Hepatitis E remains an important cause of hepatitis and a zoonotic disease globally. Public health policies are key to containing this viral infectious disease, including policy in the transfusion of blood products.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".