Humanitarian aid policy changes following the 2010 cholera outbreak in Haiti
Bibliographic record
Abstract
The current cholera outbreak in Haiti arose as a result of inadequate humanitarian aid management by the United Nations following the 2010 earthquake in the country. Nepalese peacekeepers spread the water-borne disease through improper sanitation and waste disposal, resulting in re-emergence of the infection after 150 years. In 2016, the United Nations formally apologized for its role in the spread of the cholera epidemic that has killed more than nine thousand Haitians to date. Though many studies discuss the origin of the epidemic, there is a lack of comparison between initial response practices and current practices. Therefore, it is difficult to understand how disaster relief has evolved as a result of the Haiti epidemic. This paper argues that the training of humanitarian aid workers to avoid spreading infectious diseases like cholera in areas receiving disaster relief has not sufficiently improved. Specifically, this paper will analyze what recommendations were put forth following the 2010 Haitian earthquake and to what extent those recommendations have been implemented. By comparing past and current humanitarian aid practices in areas requiring disaster relief, this paper will outline the ways in which humanitarian practices need to change to prevent the spread of infections from emergency workers.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".