COVID-19 pandemic, welfare programs, and access to ‘free water’ in Ghana: how did the urban poor fare?
Bibliographic record
Abstract
Abstract Frequent hand washing has been recommended by public health officials as one of the key preventive measures to reduce the transmission of COVID-19. Yet globally, 844 million people live without access to a safe drinking water source. This study explores the impact of the COVID-19 pandemic, its associated public health response measures and government social support on water access in informal settlements in Ghana using qualitative studies. Thirty (30) participants were interviewed in Accra and Tamale. Data were transcribed and inductively analyzed using NVivo. Overall, participants indicate that COVID-19 exacerbated their water insecurity issues in many ways including (1) limiting water source visits for fear of contracting the virus; (2) through public health restrictions that affected their ability to access water outside their households; and (3) increased cost of vended water. Most participants also highlighted that they did not benefit from the ‘6 months of free water initiative’ by the government of Ghana. As countries formulate plans to rebuild their economies, the inequalities underscored by the COVID-19 pandemic should offer renewed attention to the significance of safe water access for all, particularly concerning public and population health.
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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 | 0.000 |
| 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".