Back

Cost-utility analysis of COVID-19 vaccination strategies for endemic SARS-CoV-2 circulation in Canada

Miranda, R. N.; Simmons, A. E.; Li, M. W. Z.; Gebretekle, G. B.; Xi, M.; Salvadori, M. I.; Warshawsky, B.; Wong, E.; Ximenes, R.; Andrew, M. K.; Sander, B.; Singh, D.; Wilson, S.; Tunis, M.; Tuite, A. R.

2024-12-08 health economics
10.1101/2024.12.06.24318620 medRxiv
Show abstract

BackgroundWith shifting epidemiology and changes in the vaccine funding landscape, resource use considerations for ongoing COVID-19 vaccination programs are increasingly important. We assessed 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, from the health system and societal perspectives. MethodsWe used a static, individual-based probabilistic model simulating medically attended COVID-19 in a population of 1 million people followed over a 15-month time period to estimate costs in 2023 Canadian dollars, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs), discounted at 1.5%. COVID-19 epidemiology, vaccine characteristics, and costs were based on the most recently available data. ResultsAnnual vaccination for adults aged 65 years and older consistently emerged as a cost-effective intervention, with ICERs less than $50,000 per QALY compared to 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 of greater than $50,000 per QALY. Shifting timing of vaccination programs to better align with periods of high COVID-19 case occurrence could result in biannual vaccination for those aged 65 and older being a cost-effective strategy. ConclusionsCOVID-19 vaccination programs may be cost-effective when focused on groups at higher risk of disease. Optimal timing of vaccination could improve the cost-effectiveness of various strategies.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Vaccine
189 papers in training set
Top 0.3%
12.3%
2
Journal of Medical Economics
10 papers in training set
Top 0.1%
9.0%
3
PLOS ONE
4510 papers in training set
Top 22%
8.3%
4
PLOS Medicine
98 papers in training set
Top 0.3%
8.3%
5
The Lancet Healthy Longevity
11 papers in training set
Top 0.1%
6.2%
6
BMC Medicine
163 papers in training set
Top 0.8%
4.8%
7
Clinical Infectious Diseases
231 papers in training set
Top 1%
4.8%
50% of probability mass above
8
The Lancet Infectious Diseases
71 papers in training set
Top 0.5%
4.8%
9
BMC Public Health
147 papers in training set
Top 1%
3.9%
10
Vaccines
196 papers in training set
Top 0.7%
3.5%
11
BMJ Open
554 papers in training set
Top 7%
2.7%
12
Vaccine: X
19 papers in training set
Top 0.1%
2.6%
13
Open Forum Infectious Diseases
134 papers in training set
Top 0.9%
2.1%
14
American Journal of Preventive Medicine
11 papers in training set
Top 0.2%
2.1%
15
International Journal of Cancer
42 papers in training set
Top 0.6%
1.8%
16
Preventive Medicine Reports
14 papers in training set
Top 0.2%
1.6%
17
eClinicalMedicine
55 papers in training set
Top 0.7%
1.6%
18
Scientific Reports
3102 papers in training set
Top 67%
1.2%
19
npj Vaccines
62 papers in training set
Top 0.3%
1.2%
20
BMJ
49 papers in training set
Top 0.8%
1.2%
21
CMAJ Open
12 papers in training set
Top 0.2%
0.9%
22
Nature Communications
4913 papers in training set
Top 60%
0.9%
23
JAMA Network Open
127 papers in training set
Top 4%
0.8%
24
The Lancet Regional Health - Europe
32 papers in training set
Top 0.4%
0.7%
25
Canadian Medical Association Journal
15 papers in training set
Top 0.4%
0.7%
26
Public Health Nutrition
14 papers in training set
Top 0.6%
0.7%
27
Infectious Diseases and Therapy
18 papers in training set
Top 0.2%
0.7%
28
Frontiers in Public Health
140 papers in training set
Top 9%
0.7%
29
Medical Decision Making
10 papers in training set
Top 0.3%
0.7%
30
Annals of Internal Medicine
27 papers in training set
Top 1%
0.6%