MétaCan
Menu
Retour à la cohorte
Enregistrement W4406946807 · doi:10.1093/ofid/ofae631.1463

P-1282. Saving Lives and Costs: Respiratory Syncytial Virus Wastewater Surveillance to Guide all infant prophylaxis in Ontario, Canada

2025· article· en· W4406946807 sur OpenAlexaffabout
Élisabeth Mercier, Nisha Thampi, Shen Wan, Bosco Paes, John Fullarton, I. Keary, Barry Rodgers‐Gray, Robert Delatolla

Notice bibliographique

RevueOpen Forum Infectious Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueRespiratory viral infections research
Établissements canadiensMcMaster UniversityUniversity of OttawaAgricultural Research Institute of Ontario
Organismes subventionnairesnon disponible
Mots-clésMedicinePalivizumabEnvironmental healthPre-exposure prophylaxisVirologyVirusPediatricsHuman immunodeficiency virus (HIV)

Résumé

récupéré en direct d'OpenAlex

Abstract Background Wastewater-based surveillance (WBS) of respiratory syncytial virus (RSV) detected seasonal activity up to one month earlier than clinical surveillance (CS) during the 2022 RSV season in two Ontario cities, Canada. The associated cost-consequence analysis comparing the use of WBS vs CS to guide the start of provincial immunoprophylaxis programs showed WBS-guided prophylaxis realized savings of CAD $2.1-3.5m in the first year and $13.7-16.6m over 1-3 years due to early RSV detection. Further investigation is needed to explore the reproducibility and scalability of WBS for RSV in a provincial surveillance initiative. Geospatial distribution of the 12 sentinel sampling locations across Ontario, Canada Methods In collaboration with the Ontario Ministry of Health (MOH), 12 locations in the province were selected as sentinel WBS sites based on population density, socio-economic strata, and their significance as primary pediatric centres where palivizumab is administered (Figure 1). City-wide, 24-hour composite wastewater samples were collected and screened for RSV by RT-qPCR three to seven times a week. We monitored RSV-WBS data and pediatric RSV-related hospitalizations (RSVH) between September 1, 2023, to March 15, 2024. Cumulative fraction of locations for the onset of the 2023 RSV season in Ontario, Canada Date of onset of regional RSV activity as identify by wastewater surveillance at each of the 12 sentinel locations during the 2023 RSV season, represented as a cumulative fraction. Results During the study period, RSV was detected in 76% (1092/1440) of all wastewater samples collected, with detection at all locations. WBS effectively tracked the geographical variation in viral activity across the province. There was a 73-day variation in the RSV season onset across locations, with northern sites lagging southern locations by 62 ± 11 days (Figure 2). WBS detected regional RSV activity up to 15 days prior to the provincial start date of October 30, 2023, as determined by CS. Considering the estimated WBS cost of $0.50 per eligible infant compared to an average of $5,000 per RSVH, and an estimated fewer RSVHs per year, provincial WBS-guided prophylaxis could significantly reduce healthcare costs and the burden of RSV associated illness. Conclusion RSV WBS could be a highly cost-effective strategy that identifies the early onset of the RSV season, thereby optimizing immunoprophylaxis timing. Additionally, it is scalable to communities of varying sizes and socioeconomic strata and reflects geospatial variation in regional RSV activity supporting its use in a provincial-wide WBS initiative. Disclosures Bosco Paes, MD, Professor Emeritus, AstraZeneca: advisor/lecturer outside the scope of this study|Sanofi: advisor/lecturer outside the scope of this study John Fullarton, n/a, AstraZeneca: Employer has received payment from AstraZeneca for work on various projects outside the scope of this study|Sanofi: Employer has received payment from Sanofi for work on various projects outside the scope of this study Barry Rodgers-Gray, n/a, AstraZeneca: Employer has received payment from AstraZeneca for work on various projects outside the scope of this study|Sanofi: Employer has received payment from Sanofi for work on various projects outside the scope of this study

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,152
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,017
Tête enseignante GPT0,319
Écart entre enseignants0,302 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueOpen Forum Infectious DiseasesMême sujetRespiratory viral infections researchTravaux en français237 207