Abstract
Please cite this paper as: Lee et al. (2011) The potential economic value of a ‘universal’ (multi‐year) influenza vaccine. Influenza and Other Respiratory Viruses 6(3), 167–175.
Background Limitations of the current annual influenza vaccine have led to ongoing efforts to develop a ‘universal’ influenza vaccine, i.e., one that targets a ubiquitous portion of the influenza virus so that the coverage of a single vaccination can persist for multiple years.
Objectives To estimate the economic value of a ‘universal’ influenza vaccine compared to the standard annual influenza vaccine, starting vaccination in the pediatric population (2–18 year olds), over the course of their lifetime.
Patient/Methods Monte Carlo decision analytic computer simulation model.
Results Universal vaccine dominates (i.e., less costly and more effective) the annual vaccine when the universal vaccine cost ≤$100/dose and efficacy ≥75% for both the 5‐ and 10‐year duration. The universal vaccine is also dominant when efficacy is ≥50% and protects for 10 years. A $200 universal vaccine was only cost‐effective when ≥75% efficacious for a 5‐year duration when annual compliance was 25% and for a 10‐year duration for all annual compliance rates. A universal vaccine is not cost‐effective when it cost $200 and when its efficacy is ≤50%. The cost‐effectiveness of the universal vaccine increases with the duration of protection.
Conclusions Although development of a universal vaccine requires surmounting scientific hurdles, our results delineate the circumstances under which such a vaccine would be a cost‐effective alternative to the annual influenza vaccine.
Keywords: Cost‐effectiveness, economics, influenza vaccine, pediatrics, universal vaccine
Background
The following limitations of the current annual influenza vaccine have led to ongoing efforts to develop a ‘universal’ influenza vaccine, i.e., one that targets a ubiquitous portion of the influenza virus so that the coverage of a single vaccination can persist for multiple years:
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Annual vaccine administration: Administering influenza vaccine to the same patients each year incurs substantial costs and efforts. Persons must miss work. Maintaining influenza vaccination clinics and sites requires personnel time.
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Annual vaccine manufacturing: Every year influenza vaccine manufacturers must allocate significant resources to produce influenza vaccines. Owing to varying viral strains every season and the limited production period, the timing and preparation of vaccine development might cause unnecessary delays.
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Patient compliance: Even when a person is recommended to be vaccinated, he or she may miss getting immunized certain years. According to the National Health Interview Survey and National Immunization Survey of United States for seasons 2005–2006, 2006–2007, and 2007–2008 and National Immunization Survey, influenza vaccination coverage levels ranged 31·8–32·2% for ages 6–23 months, 26·4–40·3% for ages 2–4 years, and 12·4–21·1% for ages 5–17 years. 1 Estimation from the Behavioral Risk Factor Surveillance System (BRFSS) for influenza season 2008–2009 was 26·0–38·7% for ages 2–4 year olds and 18·4–23·4% for ages 5–17 year olds. 2
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Changing influenza strains: Each year, different influenza strains emerge as the dominant circulating strains. Although each year, scientists attempt to predict these strains, their predictions are not always accurate. 3 Mutations may cause major antigenic drift every 2–5 years. 4
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Emergence of novel influenza strain: As the 2009 influenza pandemic demonstrated, the annual vaccine may not cover new emergent strains.
Better understanding of the potential economic value of a ‘universal’ vaccine can help guide investment and development for policy makers, manufacturers, insurance companies, investors, scientists, and other decision makers. Forecasting the impact of a vaccine early in its development when changes can still be made can increase the chances of a vaccine’s success. 5
Objectives
We developed a computational model to estimate the potential economic value of a ‘universal’ influenza vaccine compared to the standard annual influenza vaccine in the pediatric population (ages 2–18 years), one of the Advisory Committee on Immunization Practices (ACIP) recommended high‐risk groups. 6
Patients/methods
Model structure
Figure 1 presents the general structure of the Markov decision analytic computer simulation model constructed using TreeAge Pro 2009 (TreeAge Software, Williamstown, MA, USA). The model represents the decision from the societal perspective of whether a child (age 2–18 years old) should begin receiving a hypothetical universal influenza vaccine or the standard annual influenza vaccine. The universal vaccine would have a certain duration of protection, therefore necessitating a periodic booster, and is assumed to be a single immunization. Each year the individual is scheduled to receive a vaccine, the individual had a probability of complying. Additionally, we looked at the effects of vaccinating high‐risk children. For these scenarios, we assumed individuals were at high‐risk throughout their lifetime and had a twofold risk of hospitalization and mortality.
The time horizon for the model is the child’s lifetime. The model has a cycle length of 1 year. The Markov states are mutually exclusive; an individual can only be in one state in a given year. Each year, an individual had a probability of becoming infected with influenza. Vaccination attenuates this probability by the vaccine‐related efficacy. Each time an individual is vaccinated, he or she has a probability of developing vaccine side effects. 7 Individuals who contract influenza have probabilities of developing symptoms or remaining asymptomatic. Symptomatic individuals then have a probability of visiting an outpatient setting and a probability of requiring hospitalization. Each individual with influenza has a probability of surviving or dying from influenza. Those who die from influenza or other unrelated causes enter the death state. The model concludes its run when an individual enters this state, otherwise known as the absorptive state.
Each simulation run sends 1000 individuals 1000 times through the model for a total of 1 000 000 trials of an individual’s lifetime. For each simulation, the following equation calculates the incremental cost‐effectiveness ratio (ICER) of the ‘universal’ vaccine versus the annual vaccine:
where effectiveness is expressed in quality‐adjusted life‐years (QALYs). ICER values <$50 000 per QALY identified the strategy as cost‐effective. 8 , 9 The model was from the societal perspective, and therefore accounted for both direct (i.e., outpatient and hospitalization costs) and indirect costs (i.e., cost of productivity losses owing to missed work, e.g., parent losses for child care, and influenza‐attributable mortality of expected lifetime earnings).
Budget impact analysis
We also calculated the potential economic value of a universal influenza vaccine from the societal perspective for the U.S. pediatric population. The U.S. Census Bureau estimate in July 2009 was used to provide the age‐stratified population: 21·3 million (under 5 years), 20·6 million (5–9 years), 20·0 million (10–14 years), and 21·5 million (15–19 years). 10
Data inputs
Table 1 lists the probabilities, costs, durations, and utilities used in the model along with their corresponding distributions and sources. Costs of annual vaccination are based on the average whole sale price and administration cost. 11 Mortality values are from the CDC National Vital Statistics Reports of Number of Deaths and Death Rates, by Age, Race, and Sex: United States 2007. 12 A 3% discount rate converted costs and QALYs from other years into 2010 values. 13 Death resulted in a QALY loss based on the QALY‐adjusted life expectancy of the person’s age. 14 Each influenza episode resulted in age‐adjusted QALY decrements for the duration of the condition. 8
Table 1.
Description (units) | Distribution Type | Mean | Standard deviation or range | Source |
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Costs ($US) | ||||
Annual vaccine | Point estimate | 20 | – | 11, 35 |
Influenza treatment | ||||
Outpatient visit | ||||
Pediatric outpatient visit | Point estimate | 74·90 | – | 36 |
Adult outpatient visit | Triangular | 104·77 | 69·14–140·39 | 37 |
Elderly outpatient visit | Triangular | 155·92 | 118·39–193·44 | 37 |
Hospitalization | ||||
Age 1–4 | Gamma | 5992 | 515 | 38 |
Age 5–9 | Gamma | 5761 | 561 | 38 |
Age 10–14 | Gamma | 8735 | 1231 | 38 |
Age 15–17 | Gamma | 6559 | 816 | 38 |
Age 18–44 | Gamma | 6506 | 461 | 38 |
Age 45–64 | Gamma | 7580 | 759 | 38 |
Age 65–84 | Gamma | 7568 | 234 | 38 |
Age 85 and Over | Gamma | 7698 | 240 | 38 |
General death | Triangular | 6921 | 5191–9025 | 39 |
Treatment of vaccine side effects | Triangular | 0·79 | 0·70–3·93 | 11 |
Median hourly wage | Point estimate | 15·57 | – | 35 |
Durations | ||||
Work hours per day | Point estimate | 8 | – | Assumption |
Absenteeism from influenza (days) | Uniform | 3·2 | 1·5–4·9 | 40 |
Time being sick from the flu | Uniform | 6 | 5–7 | 41, 42 |
Time after having vaccine side effects | Uniform | 0·75 | 0·5–1 | 43 |
Utilities (QALYs) | ||||
One year of life | ||||
Age 0–17 | Point estimate | 1 | – | 8 |
Age 18–64 | Point estimate | 0·92 | – | 8 |
Age 65 and Over | Point estimate | 0·84 | – | 8 |
Influenza with no hospitalization | Triangular | 0·65 | 0·49–0·81 | 44, 45 |
Influenza with hospitalization | Triangular | 0·50 | 0·38–0·63 | 44, 46 |
Vaccine side effects | Triangular | 0·95 | 0·71–1·00 | 46 |
Probabilities | ||||
Clinical outcomes without vaccination | ||||
Influenza throughout the year | Triangular | 0·125 | 0·05–0·2 | 7 |
Outpatient visit given influenza | ||||
Age 0–4 | Beta | 0·455 | 0·098 | 47 |
Age 5–17 | Beta | 0·318 | 0·061 | 47 |
Age 18–64 | Beta | 0·313 | 0·014 | 47 |
Age 65 and over | Beta | 0·620 | 0·027 | 47 |
Age 0–4 (high‐risk) | Beta | 0·910 | 0·250 | 47 |
Age 5–17 (high‐risk) | Beta | 0·635 | 0·167 | 47 |
Age 18–64 (high‐risk) | Beta | 0·625 | 0·118 | 47 |
Age 65 and over (high‐risk) | Beta | 0·850 | 0·093 | 47 |
Hospitalization given influenza | ||||
Age 0–4 | Beta | 0·0141 | 0·0047 | 47 |
Age 5–17 | Beta | 0·0006 | 0·0002 | 47 |
Age 18–49 | Beta | 0·0042 | 0·0014 | 47 |
Age 50–64 | Beta | 0·0193 | 0·0064 | 47 |
Age 65 and over | Beta | 0·0421 | 0·0140 | 47 |
Mortality given influenza | ||||
Age 0–4 | Beta | 0·00004 | 0·00001 | 47 |
Age 5–17 | Point estimate | 0·00001 | 47 | |
Age 18–49 | Beta | 0·00009 | 0·00003 | 47 |
Age 50–64 | Beta | 0·00134 | 0·00045 | 47 |
Age 65 and over | Beta | 0·01170 | 0·00390 | 47 |
Vaccine efficacy | Triangular | 0·45 | 0·56–0·68 | 7 |
Vaccine side effects | Point estimate | 0·03 | – | 48 |
Sensitivity analyses
Sensitivity analyses systematically varied the cost of the universal vaccine ($100 and $200), universal vaccine efficacy (range: 50–75%), probability of influenza infection being symptomatic (50% or 67%), initial age of the individual (range: 2–18 years), annual vaccine compliance (25%, 50%, 75%, and 100%), and the duration of universal vaccine protection (5 or 10 years). 15 , 16 Probabilistic sensitivity analyses simultaneously varied the values of each parameter across the ranges listed in Table 1.
Results
Cost‐effectiveness analysis when universal protection duration is 5 years
Table 2 shows how the ICER of universal vaccination compares to annual vaccination varying with differing universal vaccine efficacy, cost, and annual vaccine compliance when the duration of universal vaccine protection is 5 years. Universal vaccine is the dominant strategy (i.e., saves costs and provides health benefits) when vaccine cost is ≤$100/dose and vaccine efficacy is ≥75% for all scenarios tested. The annual vaccine dominates the $100 universal vaccine, only when the universal is 50% efficacious and annual compliance is 100%. When increasing the cost to $200/dose, universal vaccine is cost‐effective only when annual compliance is ≤25% and universal vaccine efficacy ≥75% for both symptomatic rates. A $200 universal vaccine with an efficacy ≤50% was not cost‐effective for any annual compliance rate. For high‐risk children, a $100 universal vaccine dominated the annual vaccine or had ICER values ≥$185 060/QALY for all probabilities of annual compliance.
Table 2.
Annual vaccine compliance | Vaccination strategy | Cost | Effectiveness | ICER |
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Vaccine cost $100 | ||||
Vaccine efficacy 75% | ||||
100% | Universal | 1580–2120 | 25·52–28·29 | Universal dominates |
Annual | 1684–2385 | 25·52–28·29 | ||
75% | Universal | 1579–2118 | 25·53–28·29 | Universal dominates |
Annual | 1649–2560 | 25·52–28·29 | ||
50% | Universal | 1579–2120 | 25·52–28·29 | Universal dominates |
Annual | 1616–2320 | 25·52–28·28 | ||
25% | Universal | 1577–2118 | 25·53–28·29 | Universal dominates |
Annual | 1578–2286 | 25·52–28·28 | ||
Vaccine efficacy 50% | ||||
100% | Universal | 1775–2473 | 25·52–28·29 | Annual dominates |
Annual | 1685–2387 | 25·52–28·30 | ||
75% | Universal | 1777–2474 | 25·53–28·29 | 39 482–52 197 |
Annual | 1650–2351 | 25·53–28·29 | ||
50% | Universal | 1775–2475 | 25·53–28·29 | 31 544–74 353 |
Annual | 1612–2320 | 25·53–28·29 | ||
25% | Universal | 1775–2474 | 25·53–28·29 | 33 987–49 354 |
Annual | 1579–2282 | 25·52–28·29 | ||
Vaccine cost $200 | ||||
Vaccine efficacy 75% | ||||
100% | Universal | 2019–2718 | 25·52–28·30 | 77 108–124 575 |
Annual | 1684–2384 | 25·53–28·29 | ||
75% | Universal | 2214–2893 | 25·52–28·29 | 171 099–319 601 |
Annual | 1648–2353 | 25·52–28·28 | ||
50% | Universal | 2020–2717 | 25·53–28·29 | 79 422–81 349 |
Annual | 1614–2317 | 25·52–28·29 | ||
25% | Universal | 2018–2718 | 25·53–28·30 | 33 562–47 763 |
Annual | 1579–2288 | 25·52–28·28 | ||
Vaccine efficacy 50% | ||||
100% | Universal | 2411–3072 | 25·53–28·29 | Annual dominates |
Annual | 1682–2387 | 25·53–28·29 | ||
75% | Universal | 2411–3071 | 25·53–28·29 | Annual dominates–495 957 |
Annual | 1650–2353 | 25·52–28·29 | ||
50% | Universal | 2413–3073 | 25·52–28·29 | 257 930–806 958 |
Annual | 1614–2560 | 25·52–28·29 | ||
25% | Universal | 2412–2284 | 25·53–28·29 | 144 542–172 231 |
Annual | 1580–3073 | 25·52–28·29 |
Bold ICER values are cost‐effective.
Budget impact analysis when universal protection duration is 5 years
Switching from the annual vaccine to the universal vaccine can yield cost savings from the societal perspective. A $100/dose universal vaccine with a vaccine efficacy ≥75% will provide cost savings per pediatric patient vaccinated: $1–$104 (younger than 5 years), $5–$102 (5–9 years), $6–$96 (10–14 years), and $168–$266 (15–18 years). Therefore, switching the entire pediatric population to universal vaccination could generate cost savings of $15 million–$2·2 billion for those below 5 years, $101 million–$2·1 billion for 5–9 years, $121 million–$1·9 billion for 10–14 years, and $3·6 billion–$5·7 billion for 15–18 years over their lifetimes. Increasing the proportion of developing symptomatic influenza from 50% to 67% will provide more cost savings.
Cost‐effectiveness analysis when universal protection duration is 10 years
Table 3 demonstrates the ICER when duration of protection by the universal vaccine increases from 5 to 10 years. The universal vaccine is optimal (i.e., economically dominant) compared to annual vaccine when its efficacy ≥50% and cost ≤$100/dose for all annual compliance and symptomatic rates explored.
Table 3.
Annual vaccine compliance | Vaccination strategy | Cost | Effectiveness | ICER |
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Vaccine cost $100 | ||||
Vaccine efficacy 75% | ||||
100% | Universal | 1287–2021 | 25·53–28·29 | Universal dominates |
Annual | 1685–2385 | 25·52–28·29 | ||
75% | Universal | 1286–2021 | 25·52–28·29 | Universal dominates |
Annual | 1648–2353 | 25·52–28·29 | ||
50% | Universal | 1286–2019 | 25·53–28·29 | Universal dominates |
Annual | 1613–2319 | 25·52–28·29 | ||
25% | Universal | 1286–2022 | 25·53–28·29 | Universal dominates |
Annual | 1581–2283 | 25·52–28·29 | ||
Vaccine efficacy 50% | ||||
100% | Universal | 1483–2197 | 25·53–28·29 | Universal dominates |
Annual | 1685–2386 | 25·52–28·29 | ||
75% | Universal | 1485–2201 | 25·53–28·29 | Universal dominates |
Annual | 1649–2351 | 25·53–28·29 | ||
50% | Universal | 1482–2200 | 25·52–28·29 | Universal dominates |
Annual | 1615–2316 | 25·52–28·29 | ||
25% | Universal | 1484–2200 | 25·52–28·29 | Universal dominates |
Annual | 1579–2282 | 25·52–28·29 | ||
Vaccine cost $200 | ||||
Vaccine efficacy 75% | ||||
100% | Universal | 1630–2347 | 25·53–28·29 | 9180–45 456 |
Annual | 1683–2386 | 25·53–28·29 | ||
75% | Universal | 1649–2348 | 25·52–28·29 | 1285–31 956 |
Annual | 1629–2354 | 25·53–28·29 | ||
50% | Universal | 1615–2348 | 25·52–28·29 | 4222–4755 |
Annual | 1616–2378 | 25·52–28·29 | ||
25% | Universal | 1629–2346 | 25·53–28·30 | 5194–5970 |
Annual | 1580–2285 | 25·52–28·29 | ||
Vaccine efficacy 50% | ||||
100% | Universal | 1829–2526 | 25·53–28·29 | Annual dominates |
Annual | 1684–2384 | 25·53–28·29 | ||
75% | Universal | 1827–2530 | 25·52–28·29 | Annual dominates |
Annual | 1651–2350 | 25·52–28·29 | ||
50% | Universal | 1827–2527 | 25·52–28·29 | 69 797–380 364 |
Annual | 1613–2322 | 25·52–28·29 | ||
25% | Universal | 1827–2527 | 25·53–28·29 | 59 443–74 421 |
Annual | 1580–2286 | 25·52–28·28 |
Bold ICER values are cost‐effective.
Figure 2 shows acceptability curves for the universal and annual vaccine when the universal protects for 10 years and costs $100. The universal vaccine consistently has a higher probability of being cost‐effective, even with an increasing willingness to pay. A $200/dose universal vaccine is cost‐effective only when its efficacy is ≥75%. At an efficacy of 50%, a $200 universal vaccine is not cost‐effective compared to the annual vaccine. Figure 2B shows the curves for this change in cost.
Budget impact analysis when universal protection duration is 10 years
Increasing the duration of universal protection to 10 years further augments the potential cost savings to society. A $100/dose universal vaccine with ≥75% efficacy can provide cost savings of $295–$398 per pediatric patient (ages below 5 years), $284–$388 (5–9 years), $274–$377 (10–14 years), and $261–$364 (15–18 years) vaccinated. Therefore, switching the entire pediatric population to universal vaccination could generate cost savings of $6·2 billion–$8·5 billion for those below 5 years, $5·9 billion–$8·0 billion for 5–9 years, $5·5 billion–$7·5billion for 10–14 years, and $5·6 billion–$7·8 billion for 15–18 years over their lifetimes. As before, increasing the probability of being symptomatic will provide even more cost savings.
Discussion
Our results suggest that a universal vaccine could provide substantial economic value by overcoming the annual vaccine’s current drawbacks. This favors investment in universal vaccine development, helps establish efficacy and duration of protection targets for developers, and prepares policy makers for reimbursement questions. Addressing these issues early in a vaccine’s development when changes are easier to make could help avoid considerable problems in the future. 5
In many ways, our study underestimates the potential value of a universal vaccine. Not only is compliance with the annual vaccine far <100%, but many children also do not get vaccinated until later into the influenza season, i.e., after October or even November. Previous studies have demonstrated the value of annual influenza vaccine drops the later in the season the vaccine is administered, because the longer the patient remains unvaccinated, the more susceptible they are to being infected. 17 , 18 Moreover, our model did not account for how the universal vaccine may prevent the vaccinated individual from transmitting the influenza virus to others. Unvaccinated individuals are not only more susceptible to infection but may shed more virus when infected compared to vaccinated individuals. Our model focuses on the individual and does not consider influenza transmission and herd immunity. If the universal vaccine results in a greater proportion of the population protected, then it could more substantially reduce transmission than the standard annual vaccine and therefore would be more cost‐effective. Finally, in our model, individuals are healthy children without comorbidities that may worsen influenza outcomes.
The 2009 influenza pandemic identifies another possible benefit of the universal vaccine. A universal vaccine that provides protection against novel strains may circumvent the need to develop a specific vaccine against an emerging pandemic strain. As computer simulation studies have suggested, timely and effective vaccination of the population may be the most important mitigation intervention. 17 , 18 , 19 , 20
Bringing a universal vaccine to market requires surmounting numerous hurdles. First, the vaccine must contain an appropriate antigen common to all possible circulating influenza viruses. Second, the antigen should be stable and not prone to mutation. Third, the antigen must not occur in other common human tissues. Fourth, the antigen needs to generate an adequate immune response. Fifth, the vaccine must remain effective and not wane for the duration of vaccine coverage.
Du and colleagues describe the possible approaches in developing a universal influenza vaccine which focus on the conserved sequences of M2e, HA (HA1, HA2), NP, and epitopes from different influenza viral proteins. 21 These sequences occur across many known subtypes of influenza virus making them ideal universal vaccine targets. Some candidates use a combination of these conserved epitopes from different viral proteins, potentially offering further cross‐protection across varying subtypes. 21 Other candidates focus on the sequences of major structural proteins of the virus surface, ectodomain of matrix protein 2. 22 , 23 Scientists have also targeted human antibodies that could cross‐react with and neutralize several different hemagglutinin viral subtypes. 24 , 25 , 26 , 27 Several candidate ‘universal’ influenza vaccines are currently at different stages of development based on these targets. Five companies, Acambis Inc. (Cambridge, UK), Cytos Biotechnology (Schlieren, Switzerland), Merck & Co Inc. (Whitehouse Station, NJ, USA), and VaxInnate Corp. (Cranbury, NJ, USA) have reported promising preliminary Phase 1 clinical study results. 3 , 28 BiondVax’s (Ness Ziona, Israel) Mulitmeric‐001 Universal Flu Vaccine successfully navigated through Phase I/II trials and will enter Phase II trials in 2010. 29 , 30 BiondVax is currently recruiting patients 55–75 years old for its next study. 31
A recently published article reports significant human B cell responses toward the 2009 pandemic H1N1 influenza. 32 Most of the neutralizing antibodies induced by the virus are able to cross‐react against epitopes in the hemagglutinin head and stalk of various influenza strains. Tested antibodies show broad protection against H1N1 and H5N1 influenza strains with abundant stalk‐reactive antibodies in H1N1 patients. Such universal vaccine may have a stronger cross‐protection to divergent virus subtypes, reduced production time and cost. This advantage may serve as an important direction in the development of a universal influenza vaccine.
Another study provides evidence that a universal vaccine which covers all influenza strains is achievable. This novel influenza vaccine is able to reactivate and induce T‐cell responses (CD8+ and CD4+) toward NP and M1 proteins of the virus that is common in all influenza type A strains. 33 It proves to be safe and well tolerated with less local side effects. Extensive protection against seasonal and pandemic influenza is promising. According to researchers, introduction of such a vaccine would provide protection for at least 5–10 years. 34
Limitations
In addition to the limitations identified earlier, all models are simplifications of real life. A model cannot represent all possible influenza outcomes and the heterogeneity that exist among the patient population. Rather than make decisions, a model provides information for decision makers such as public health officials, scientists, insurance companies, investors, manufacturers, and clinicians. Models are designed to elucidate relationships, raise questions, and approximate orders of magnitude instead of providing exact answers. Although our model does not explicitly represent natural immunity from infection, which may persist for several years, especially when occurring in children, the various outcome probabilities (e.g., risk of influenza) did draw from studies where natural immunity was present.
Conclusion
Limitations of the current annual influenza vaccine have led to ongoing efforts to develop a ‘universal’ influenza vaccine, i.e., one that targets a conserved portion of the influenza virus so that the coverage of a single vaccination can persist for multiple years. Our results suggest that a universal vaccine could provide substantial economic value by overcoming the annual vaccine’s current drawbacks. This favors investment in universal vaccine development, helps establish efficacy and duration of protection targets for developers, and prepares policy makers for reimbursement questions. Addressing these issues early in a vaccine’s development when changes are easier to make could help avoid considerable problems in the future. Although development of a universal vaccine requires surmounting scientific hurdles, our results delineated the circumstances under which such a vaccine would be a cost‐effective alternative to the annual influenza vaccine.
Acknowledgements
This work was supported by the National Institute of General Medical Sciences Models of Infectious Disease Agent Study (MIDAS) (1U54GM088491‐0109), the National Library of Medicine (5R01LM009132‐02), and the Centers for Disease Control and Prevention (CDC) University of Pittsburgh Center for Advanced Study of Informatics (1P01HK000086‐01). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. B.Y.L. has served as an advisor for Novartis and Glaxosmithkline. R.K.Z. has received grants for clinical research from and served as an advisor for MedImmune and Merck & Co. This manuscript has been presented in the following conferences: (i) CDC’s 2010 Conference ‘Modeling for Public Health Action: From Epidemiology to Operations’, in the Behavioral and Economic Modeling track, December 8–9, 2010, Atlanta, GA, (ii) 45th National Immunization Conference, March 28–31, 2011, Washington, DC, Abstract no. 25588.
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