Cost-Utility Analysis of COVID-19 Vaccination Strategies for Endemic SARS-CoV-2
Notice bibliographique
Résumé
Importance: With shifting epidemiology and changes in the vaccine funding landscape, resource use considerations for COVID-19 vaccination programs are increasingly important. Objective: To assess the cost effectiveness of COVID-19 vaccination programs, where eligibility is defined by combinations of age and chronic medical conditions, including a strategy similar to current Canadian recommendations. Design, Setting, and Participants: Static, individual-based, probabilistic cost-utility model economic evaluation parameterized with recent data describing COVID-19 epidemiology, vaccine characteristics, and costs. The analysis used a 15-month time horizon from July 2024 to September 2025 and a modeled cohort of 1 million people with characteristics based on the Canadian population, stratified by age group and presence or absence of at least 1 chronic medical condition. Exposure: Annual or biannual COVID-19 vaccination strategies offered to different age and medical risk groups, with annual vaccination occurring in October and November in the primary analysis. Main Outcomes and Measures: Medically attended SARS-CoV-2 infections treated in outpatient and inpatient settings, including post-COVID condition cases and deaths. Costs in 2023 Canadian dollars, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs), discounted at 1.5% for the health system and societal perspectives. Results: Among 1 million simulated individuals, annual vaccination for adults aged 65 years and older consistently emerged as a cost-effective intervention, with ICERs less than CAD $50 000 per QALY compared with no vaccination for a range of model assumptions. Adding a second dose for adults aged 65 years and older or expanding programs to include vaccination for younger age groups, including those at higher risk of COVID-19 due to chronic medical conditions, generally resulted in ICERs greater than $50 000 per QALY. Shifting timing of vaccination programs to better align with periods of high COVID-19 case occurrence resulted in biannual vaccination for those aged 65 years and older being cost effective. Conclusions and Relevance: In this economic evaluation of COVID-19 vaccination strategies, programs were observed to be cost effective when focused on groups at higher risk of disease. Optimal timing of programs improved the cost effectiveness of vaccination strategies. As COVID-19 transitioned to an endemic disease with high levels of population immunity, many jurisdictions revisited COVID-19 vaccination recommendations; these results identified COVID-19 vaccination programs that may provide good value for money.
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 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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 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 ».