Young Adults' Hopes Regarding Noncommunicable Disease (NCD) Prevention and Management After the SARS-CoV-2 Virus Pandemic: Reflections From the NCD Child #YouthCOVIDCHAT Campaign
Bibliographic record
Abstract
PURPOSE: The SARS-CoV-2 virus pandemic has left a massive global death toll in its wake. Associated restrictions, precautions and lockdowns have disrupted daily routines, which has been associated with social isolation and major health implications for the world's youth. This paper shares young adults' visions for life beyond the pandemic as it relates to the prevention and management of noncommunicable diseases (NCDs). METHODS: NCD Child hosted a global Twitter campaign for young adults, some of whom are living with NCDs, to express their reflections on life beyond the pandemic. Contributions were subjected to qualitative thematic analysis. RESULTS: 52 responses from the campaign described six main themes: Health system strengthening; Access to care; Issues of sustainability, including the environment and the economy; Human rights, equity, and social issues; Mental health, and NCD prevention. DISCUSSION: Young adults expressed optimism about postpandemic life and emphasized the importance of comprehensive intersectoral approaches to create resilient health systems.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".