Current and emerging microbiology issues of potable water in developed countries
Notice bibliographique
Résumé
Water is vital for life, for commercial and industrial purposes and for leisure activities in the daily lives of the world's population. Diarrhoeal disease associated with consumption of poor quality water is one of the leading causes of morbidity and mortality in developing countries (especially in children <5 years old). In developed countries, whilst potable water is not a leading cause of death, it still can still pose a significant health risk. Water quality is assessed using a number of criteria, e.g., microbial load and nutrient content which affects microbial survival, as well as aesthetic factors such as odor. In water systems, the presence of disinfectant, low temperatures, flow regimes and low organic carbon sources do not appear to be conducive to microbial persistence. However, frequently this is not the case. A variety of human pathogens can be transmitted orally by water and in the developed world water quality regulations require that potable water contains no microbial pathogens. Chlorine dioxide is a safe, relatively effective biocide that has been widely used for drinking water disinfection for 40 years. Providing the water is of low turbidity, standard chlorination procedures are sufficient to prevent the spread of planktonic bacteria along water mains. However, despite this, bacterial contamination of water distribution systems is well documented, with growth typically occuring on surfaces, including pipe walls and sediments. Rivers, streams and lakes are all important sources of drinking water and are used routinely for recreational purposes. However, due to fouling by farm and wild animals, these sources can be contaminated with microbes, e.g., chlorine-resistant Cryptosporidium oocysts, no matter how pristine the source or well maintained the water delivery system. The high incidence of Cryptosporidium in surface water sources underlines the need for frequent monitoring of the parasite in drinking water. The use of coliforms as indicator organisms, although considered relevant to most cases, is not without limitations, and is thus not a completely reliable parameter of water safety, e.g., Campylobacter contamination cannot be accurately predicted by coliform enumeration. Furthermore, the presence of biofilms and bacterial interactions with protozoa in water facilitate increased resistance to antimicrobial agents and procedures such as disinfectants and heating, e.g., Legionnaires' disease caused by Legionella pneumophila. The high cost of waterborne disease outbreaks should be considered in decisions regarding water utility improvement and treatment plant construction. The control of human illnesses associated with water would be aided by a greater understanding of the interactions between water-borne protozoa and bacterial pathogens, which until relatively recently have been overlooked.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,003 |
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 ».