Migrant communities and the COVID-19 response in sub-Saharan Africa
Bibliographic record
Abstract
Migration, which involves the movement of people from one location to another, could have a range of social, health, political and economic effects. Migration also has consequences for the individual, the area of origin and the area of destination. The effect of global migration can influence public protection, resulting in health services and environmental issues. Thus, migration, either domestic or transnational, has intense effect on socio-economic development, which could be positive or negative. This article focuses on the impact of the recent global pandemic of the coronavirus disease (COVID-19) on the migrant communities of sub-Saharan region of the African continent. It argues that the distinctive socio-economic development needs and context of the region merit the international community’s undivided attention. The unique challenges of sub-Saharan migrant communities include the high levels of vulnerability faced by the internally displaced migrants during the pandemic. The response to the COVID-19 challenges requires the active outreach and engagement of these communities in the preparedness response. The article concludes with a set of policy and practice recommendations to the sub-Saharan African governments on how to engage these populations on the COVID-19 response to reduce overall morbidity and mortality.
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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 | 0.005 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".