E. coli Levels Associated with Source Waters and Household Handling Practices of Potable Water in Peri-urban Phnom Penh, Cambodia
Notice bibliographique
Résumé
Cambodia has made progress towards addressing Sustainable Development Goal 6.1. “By 2030, achieve universal and equitable access to safe and affordable drinking water for all”, but challenges remain in fully realizing this target. We begin this paper by reviewing current country-wide access to safe and affordable water and subsequently report on the results of water sampling done for E. coli in a peri-urban area north of Phnom Penh that was conducted between 2018 and 2020. The sampling examined E. coli levels in source waters, including rivers, ponds, a large lake/wetland, wells, rainwater harvesting systems, piped water, and bottled water. Sampling from household storage containers and in-home drinking cups also was done to assess the effects that handling practices might have on exposure to E. coli. We show that country-wide, as well as in the peri-urban study area, there has been increased access to piped water. Piped water and commercially-available bottled water (0.5–1.5 L PET bottles) had the lowest E. coli levels in our study area, although such bottled water is not an affordable alternative for many peri-urban families. Surface pond water and the Tonle Sap River contained the highest E. coli levels and would pose the greatest risk associated with direct consumption. Handling practices may impact drinking water quality, as a significant difference (p=0.2) was found in E. coli levels between samples taken from commercially-available 0.5–1.5 L PET bottles and from household cups into which the bottled water was poured. There also was a significant difference (p<0.05) in E. coli levels between piped water sampled directly from the tap and piped water stored in bulk household containers. The geometric mean concentration of E. coli in large, covered, traditional outdoor storage jars used for rainwater harvesting was nearly 10 times lower than the same type of jars that were not covered, although due to the small sample size and variability in the data, the difference was not significant (p=0.5). Despite the increasing availability of piped water service in the study area, we found a diversity of water source practices, including use of rainwater harvesting, surface water, 20 L bottled water, and wells. These source waters can be safe, but must be routinely monitored. The study illustrates the advantages of field-based testing for effective screening of E. coli in peri-urban areas.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».