Wastewater-based surveillance of Bordetella pertussis during an outbreak in Alberta, Canada
Notice bibliographique
Résumé
Background: Whooping cough, caused by Bordetella pertussis (BP), is a vaccine-preventable illness spread through respiratory droplets. As the disease disproportionally impacts infants and children, vaccination is part of the routine childhood series in Canada. However, vaccine hesitancy and resultant declining rates of community immunity increase the risk of disease. We leveraged our existing wastewater-based surveillance (WBS) network to assess its ability to track clinical disease in response to an outbreak in southern Alberta. Methods: For seven months before and after the declaration of a January 2023 outbreak, wastewater samples were collected at approximately weekly intervals from five municipalities in southern Alberta (~1.05 million residents). 24-hour composite wastewater was pelleted, mechanically lysed, and DNA extracted. B. pertussis gene BP283 was quantified by qPCR and normalized against total-bacterial 16s rRNA. De-identified clinical data was obtained from Alberta Health Services (AHS) and vaccination rates collected from the AHS Interactive Health Data Application dashboard ( http://www.ahw.gov.ab.ca/IHDA_Retrieval/ ). Per local guidelines, cases could be diagnosed through molecular testing, or if an individual had a strong epidemiological link to a known case and compatible whooping cough symptoms ( https://open.alberta.ca/publications/pertussis ). Cases were mapped to sewershed areas using forward sortation areas. Fishers exact test was used to determine the association of the categorical variables of positive wastewater samples and clinical cases diagnosed in the week following, as well as to compare rates of wastewater positivity before and after the outbreak was declared. Results: Over the study period 296 cases of whooping cough were identified, with 256 after the outbreak was declared. No wastewater samples were positive for BP prior to the outbreak (0%) and 22 were positive during the outbreak (19.8%), p = 0.0006 (Figure 1). Of the positives, the median ratio of BP:16s rRNA was 8.89x10-9 (IQR: 5.31x10-9 to 4.19x10-8). Detection of BP in the wastewater did not necessarily predict the occurrence of cases the following week within individual municipalities, but there was an association when all sites were aggregated (OR 2.47 [CI: 1.01–6.05], p = 0.04). Vaccination rates in the communities ranged from 40.9% to 72.2%, and did not associate with wastewater detected Bordetella pertussis. Conclusion: BP can be detected in wastewater during outbreak periods, though infrequently and in very low concentrations. For WBS to be used as an effective tool to monitor and potentially mitigate cases of whooping cough for WBS (and other respiratory pathogens which are not readily amplified in the gastrointestinal tract), assay sensitivity will need to be improved.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 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 ».