Assessment of Health and Well-Being Effects Associated With the Challenging Drinking Water Situation in the Gaza Strip: Protocol for a Cross-Sectional Household Survey Study
Notice bibliographique
Résumé
BACKGROUND: The water supply in the Gaza Strip, Palestine, has been unstable and under strain for decades, resulting in major issues with drinking water quality, reliability, and acceptability. In 2018, between 25% and 30% of Gazans did not have regular access to running water. The progressive deterioration of water infrastructure and concerns over the quality of piped water have resulted in a complex mix of drinking water sources used in the Gaza Strip. The challenges of safe water provision in the Gaza Strip could potentially have severe adverse effects on the population's health and well-being. OBJECTIVE: The main objectives of this survey are to determine the quality of drinking water at the household level and to investigate the association of various health outcomes with water quality at the household level in the Gaza Strip. METHODS: We conducted a cross-sectional household survey in the North Gaza, Gaza, and Rafah governorates between January and March 2023. We selected a subsample of households from a representative cross-sectional survey conducted in the Gaza Strip in 2020 with persons aged 40 years and older. From each household in the 2023 survey, we invited 3 individuals (2 older than 40 years and 1 between 18 and 30 years) to participate. The face-to-face interview included questions on drinking water, mental health and well-being, self-reported diagnoses for selected diseases, use of antibiotics, and knowledge about antimicrobial resistance. Additionally, we measured each participant's blood pressure. We sampled drinking water from each household and analyzed the samples for microbial contamination, nitrate, sodium, and mineral content. RESULTS: In total, we visited 905 households and interviewed 2291 participants. In both age groups, more female participants were interviewed. A total of 56.60% (914/1615) were aged ≥40 years, and 58.9% (398/676) were aged between 18 and 30 years. We obtained water samples from nearly all households (902/905, 99.8%). The results are expected to be published in several papers in 2025. CONCLUSIONS: The extensive survey components, coupled with drinking water testing and building on an existing survey, allowed us to identify a broad set of potential impacts on health and well-being and to track changes over time. This study intends to identify humanitarian and development interventions that could impact the population served most. However, we completed data collection before the escalation of violence in October 2023. Given the impact of the still ongoing conflict, the initial intent of this work is no longer valid. However, the results emerging from the survey may still serve as a valuable baseline to assess the impacts of the current escalations on physical and mental health and on drinking water quality. In addition, our findings could provide important information for rebuilding the Gaza Strip in a more health-promoting way. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63415.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,003 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».