Sero-epidemiological Study of Japanese Encephalitis in Some Selected Hospitals of Nepal
Bibliographic record
Abstract
Japanese encephalitis is a major public health problem in Nepal, about 1000-3000 cases and 200-300 deaths reported annually, mainly in endemic areas and sporadic cases have also been reported from non-endemic areas such as Kathmandu. The diagnosis of JE is based on clinical signs and symptoms. This study was conducted in some hospitals of Nepal to find the epidemiological trend of the disease. Serological surveys have revealed that about 10 % of people living in JE endemic areas are infected with the virus, most of whom are infected before age 15. This type of study is essential to be carried out in our country to know the seroepidemiology of the JE virus. A descriptive cross-sectional study was conducted, and 267 serum samples from suspected Acute Encephalitis Syndrome and viral fever cases were collected from three different hospitals in Nepal. The results were confirmed by an IgM capture enzyme-linked immunosorbent assay. Of 267 serum samples, 242(90.6%) were clinical suspects of Acute Encephalitis Syndrome, and 25(9.4%) were clinical suspects of viral fever. Of 267 cases, 84(34.7%) Acute Encephalitis Syndrome cases and nine (36.0%) viral fever cases were positive for anti-Japanese encephalitis virus IgM antibodies. The seropositivity was higher in males 60(39.9%) than in females 33 (29.2%). Out of the total positive cases, the highest seropositivity (40.2%) was observed in the age group 15-50, and the least (25.0%) was observed in the age group above 50. Tribhuvan University Teaching Hospital accounts for highest seropositivity (36.6%) and the least (32.2%) in Bheri Zonal Hospital. The overall seropositivity rate was found to be 34.8% which was higher than the national data (21.6%). This study reports that the seropositivity was higher than national figure and the seroepidemiology pattern of JE has changed, indicating a need for urgent intervention. Diagnostic facilities should be expanded in every hospital in the endemic region of Japanese Encephalitis for better surveillance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".