The role of civil society organizations in alcohol control during the COVID-19 pandemic across six countries in Africa
Bibliographic record
Abstract
Background: The differing global trends in alcohol consumption and policy measures implemented during the COVID-19 pandemic warrant a closer look at the actions taken by civil society organisations (CSOs) and community-led efforts to describe how they may influence and accelerate action for change in alcohol control measures. This paper analyses actions undertaken by CSOs at the national and local levels to safeguard communities and improve alcohol control policies during the COVID-19 pandemic in six African countries. Methods: A cross-sectional survey was distributed via email to CSOs involved in alcohol prevention, outreach and policy development in Kenya, Lesotho, Namibia, South Africa, Tanzania and Zimbabwe. Individuals (n = 19) working at CSOs responded to the questionnaire from February to March 2022. Questions related to the role of CSOs during the pandemic are analysed and synthesised in this paper. 19 CSOs respondents representing the six countries were included in the study. Results: Action areas led by CSOs during the COVID-19 pandemic included: (i) direct lobbying advocacy, (ii) conducting public awareness media campaigns and (iii) legal and regulatory interventions linked to the pandemic. Conclusions: Given the size of the challenges governments faced during the COVID-19 pandemic, the role of CSOs, during the ongoing pandemic and beyond, has become even more relevant to strengthen advocacy and public health interventions for alcohol control in Southern Africa. For this, CSOs should have a "seat at the table" when public health policies are designed, discussed and enforced.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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".