Morbidity Profiles of People Living With HIV/AIDS in Urban and Rural Inpatient and Outpatient Settings in Karnataka, South India
Bibliographic record
Abstract
We examined the morbidity profiles associated with people living with HIV infection in an urban HIV inpatient treatment site near the city of Bangalore, in southern Karnataka state, south India, and in a rural outpatient site in northern Karnataka. Data from March 2007 until July 2008 were analyzed. The urban cohort comprised 432 patients, and the most common comorbid conditions were unexplained prolonged fever (50.2%) and oral candidiasis (42.6%). The rural cohort comprised 2374 patients, and the most common comorbid conditions were unexplained prolonged fever (58.8%), minor mucocutaneous infections (58.4%), and recurrent upper respiratory tract infections (52.3%). With less than 1% of patients in rural areas on treatment for tuberculosis (vs over one third in the urban cohort), tuberculosis is likely significantly underdiagnosed in rural areas. In addition, only 2.6% of rural outpatients who were eligible for antiretroviral treatment (ART), per Government of India guidelines, were actually on ART, compared to 31.6% of the urban population.
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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 | 0.001 | 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 | 0.000 |
| 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".