Distinct geographical and demographic distribution of hepatitis B virus genotypes in the Canadian Arctic as revealed through an extensive molecular epidemiological survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Very little is known of hepatitis B virus (HBV) in Canadian Arctic indigenous populations, where HBV was considered endemic prior to the introduction of HBV vaccine. This study expands upon an HBV seroepidemiological survey conducted between 1983 and 1985 throughout the Canadian Arctic, to characterize HBV in this population. Archived hepatitis B surface antigen (HBsAg)-positive sera (n = 401) were processed for HBV DNA, followed by sequencing and phylogenetic analysis of the HBsAg- and HBcAg-coding regions. Sixty-nine per cent of samples (277/401) were DNA positive, with most having low viral load (median 3.4 log 10 IU/mL). The predominant HBV genotype observed was genotype B (HBV/B, 75%), followed by HBV/D (24%) and HBV/A (1%). All HBV/B strains clustered within subgenotype B6, a newly recognized HBV genotype among western circumpolar Inuit and Alaska Native people. HBV/D strains included both D3 (88%) and D4 (12%) subgenotypes, while all HBV/A strains were subgenotype A2. An association of HBV genotype B with Inuit living in the eastern Arctic and an association of genotype D with First Nation (Dene) living in the western Arctic was observed. This study establishes the high prevalence of HBV/B6 and HBV/D genotypes in Arctic populations and reveals their marked distribution within the Canadian Arctic based on geographical and demographic attributes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it