Community-Engaged Health Communication Strategies During the COVID 19 Pandemic: Experiences From Southern Andean Peru
Bibliographic record
Abstract
This study examines the work of a collective of community-based Indigenous health rights activists in southern Peru who, at the height of the pandemic, designed, recorded, and disseminated seven Quechua language and culturally tailored Public Service Announcements for radio broadcast to provide information about COVID-19 vaccines. The activists took initiative amid a dysfunctional vaccine roll-out, when vaccination rates in their region were among the lowest in the country, and when mortality rates from COVID-19 were very high. The experiences of the activist collective, including their participatory, community-based approach and their connections with health workers, demonstrate the importance of pre-existing, strong, respectful relationships between communities and health systems in times of public health crisis. This is not an easy task given that relationships between communities and Peru's government-run health system are complex and shaped by dynamics of power, including colonial legacies and contemporary injustices. This case critically reflects on the notion of resilience and provides insights into the enduring struggles by Indigenous activists to decolonize and strengthen the public health system by pushing for forms of community participation based on substantive partnerships with community-based actors that genuinely integrate their knowledge and expertise.
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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 | 0.072 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.092 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.000 | 0.014 |
| 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; both teacher heads agree on what is shown here.
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".