Impact of COVID-19 Pandemic on Quality of Life, Anxiety, Connections to Friends, and Access to Resources Among People with HIV: Using the Social Ecological Model
Bibliographic record
Abstract
The purpose of this study was to understand the impact of the coronavirus disease 2019 (COVID-19) pandemic and mitigation efforts on health and social outcomes for people with HIV at the individual, social, and structural levels of the Social Ecological Model. The International Nursing Network for HIV collected data for a cross-sectional survey of people with HIV in Botswana, Canada, Colombia, Hong Kong, Kenya, Nigeria, South Africa, Thailand, and the United States from August 2021 through June 2023. Among 1,400 participants, 47.5% experienced decreased quality of life, 40.9% experienced increased anxiety, 33.0% had reduced connection with friends, and 38.8% had reduced access to resources. Participants' reported impacts of COVID-19 varied by socioeconomic factors. Among these people with HIV, changes in quality of life, anxiety, social connectedness, and access to resources due to the COVID-19 pandemic were significantly associated with individual, social, and structural level factors using the Social Ecological Framework.
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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 | 0.000 |
| 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".