Alternative Dose Allocation Strategies to Increase Benefits From Constrained COVID-19 Vaccine Supply
Authors: Ashleigh R. Tuite, Lin Zhu, David N. Fisman, Joshua A. Salomon
Journal: Annals of Internal Medicine (2021)

Letters5 January 2021Alternative Dose Allocation Strategies to Increase Benefits From Constrained COVID-19 Vaccine SupplyFREEAshleigh R. Tuite, PhD, MPH, Lin Zhu, MBBS, PhD, David N. Fisman, MD, MPH, Joshua A. Salomon, PhDAshleigh R. Tuite, PhD, MPHDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada, Lin Zhu, MBBS, PhDCenter for Health Policy, School of Medicine, Stanford University, Stanford, California, David N. Fisman, MD, MPHDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada, Joshua A. Salomon, PhDCenter for Health Policy, School of Medicine, Stanford University, Stanford, CaliforniaAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/M20-8137 SectionsSupplemental MaterialAboutVisual AbstractPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Background: On 18 December 2020, the U.S. Food and Drug Administration issued an Emergency Use Authorization (EUA) for the Moderna COVID-19 vaccine, adding to the earlier EUA for the Pfizer-BioNTech COVID-19 vaccine. Although trial evidence for both vaccines indicates partial protection against COVID-19 illness after 1 dose (1, 2), the vaccines are authorized only as 2-dose series and have not yet been evaluated for single-dose use. In the United States, distribution plans for initial supply of vaccine doses withhold half of the available supply for second doses to be administered weeks later (3). With COVID-19 surging, there are important tradeoffs to consider between the health costs of deferring benefits of earlier protection for half of people who could be vaccinated from initial supply, weighed against risks of possible vaccine supply disruptions that could delay receipt of second doses in the absence of sufficient reserves. We used a simple model to quantify these tradeoffs.Methods: We developed a decision analytic cohort model to estimate direct benefits of vaccination against COVID-19 under alternative strategies for dose allocation (details in the Supplement). The fixed strategy, modeled after current U.S. policy, reserves 50% of each vaccine installment for second doses to be administered 3 weeks later. The flexible strategy (an illustrative example of many possible alternatives) reserves 10% of the supply for second doses during the first 3 weeks, 90% during each of the next 3 weeks, and 50% thereafter.Expected benefits of vaccination were computed as averted COVID-19 cases accumulated over an 8-week period, relative to no vaccination. Vaccine and programmatic characteristics were based on the Pfizer-BioNTech vaccine (1). Efficacy estimates allowed for partial protection (52.4%) after receipt of the first dose and full protection (94.8%) after the second dose (1). We assumed waning efficacy for those not receiving the second dose within 3 weeks after the first (single-dose efficacy reduced by a factor of 0.9 each week after week 3). We computed incremental benefits of the flexible strategy as relative increases in averted COVID-19 cases compared with the fixed strategy. Across a range of simulated scenarios, we varied vaccine supply, relative protection from the first dose, and waning efficacy given delayed second dose. To consider whether the preferred strategy would depend on infection trends, we assessed results when COVID-19 incidence was stable, was steadily increasing, or was sharply rising then falling.Results: Under a steady vaccine supply of 6 million doses per week, the flexible strategy would result in an additional 23% to 29% of COVID-19 cases averted compared with the fixed strategy (Figure 1). In both scenarios, 24 million people received at least 1 dose by the eighth week, whereas 2.4 million additional people received 2 doses of vaccine in the flexible strategy because millions more received an initial dose during the first 3 weeks; all second doses were administered on schedule (within 3 weeks of first dose) in both strategies. If vaccine supply dropped to 3 million doses per week starting in week 4, overall benefits were reduced in both strategies, and the numbers of people receiving at least 1 dose by 8 weeks, 2 doses by 8 weeks, and 2 on-schedule doses by 8 weeks were 16.5, 12, and 12 million in the fixed strategy, respectively, and 20.1, 12.9, and 6.3 million in the flexible strategy, respectively. Overall, the flexible strategy averted an additional 27% to 32% of COVID-19 cases compared with the fixed strategy in the context of this moderate supply reduction.Figure 1. Model-projected outcomes of alternative vaccine allocation strategies.A. Illustrative example of doses administered over time for the fixed and flexible strategies in a stable vaccine supply scenario (6 million doses per week). Total effective population protection represents the equivalent number of people benefiting from vaccine-associated protection against COVID-19, calculated as the number of people vaccinated with 1 or 2 doses multiplied by vaccine efficacy with 1 or 2 doses, allowing for waning protection with delayed second dose. B. Reductions in COVID-19 incidence through the fixed and flexible strategies, under the stable supply scenario and an alternative scenario with reduced supply (down from 6 million doses per week in the first 3 weeks, to 3 million doses per week afterward). Averted incidence expressed as percentage reductions in each week compared with no vaccination, which are not dependent on assumed incidence trends. Download figure Download PowerPoint We examined additional scenarios that would deliberately disadvantage the flexible strategy, by assuming substantially greater declines in vaccine supply and greater waning of protection with delayed second dose (Figure 2). While numbers of fully vaccinated individuals were adversely affected by these changes, the flexible strategy continued to produce greater overall benefits than the fixed strategy even when we assumed that protection would drop to zero if the second dose was not received within 6 weeks after the first dose. In further sensitivity analyses that varied single-dose efficacy estimates over broad ranges, we found that the 2 key determinants of optimal strategy were the number of highly protected individuals at the end of the simulation and the stability of the vaccine supply. The combination of a low first-dose efficacy and a collapse in supply was the sole circumstance that favored the fixed strategy.Figure 2. Model-projected outcomes of alternative vaccine allocation strategies under varying assumptions of vaccine supply, vaccine characteristics, and incidence trends.A. Numbers of people vaccinated and completion of vaccination series for the flexible and fixed strategies, under different supply and efficacy scenarios. For the moderate and large supply reduction scenarios, supply was reduced to one half or one tenth of the initial supply, respectively, from week 4 onward. Total effective population protection represents the equivalent number of people benefiting from vaccine-associated protection against COVID-19, calculated as the number vaccinated with 1 or 2 doses by week 8 multiplied by vaccine efficacy with 1 or 2 doses. Results are independent of assumed incidence trends. B. Percentage of infections averted using the flexible strategy relative to the fixed strategy for the different scenarios and under different incidence trends. Stable incidence assumes constant weekly incidence of infection for weeks 1 to 8; increasing incidence assumes a monotonic increase that produces a doubling of incidence over 8 weeks. Peaking assumes sharp rise to a peak after week 4, followed by a decline to the week 1 level by week 8. Download figure Download PowerPoint Discussion: In this analysis, we demonstrated the potential to improve upon current policies for deploying tightly constrained early supply of highly efficacious COVID-19 vaccines in order to maximize population health benefits. Current policies place a premium on eliminating any possible delays to delivering second doses using an allocation scheme that maintains large reserves of vaccine to guard against complete collapse of supply. The cost of this conservative approach, however, is to delay receipt of first doses in many people who could gain substantial health benefits from earlier vaccination. We find that under most plausible scenarios, a more balanced approach that withholds fewer doses during early distribution in order to vaccinate more people as soon as possible could substantially increase the benefits of vaccines, while enabling most recipients to receive second doses on schedule. Our analysis is limited by focusing only on direct benefits to vaccine recipients rather than including potential secondary benefits from avoiding transmission. Key uncertainties remain around the time course of protection afforded by the first dose of vaccine and loss of protection with extended time to the second dose. Nevertheless, we suggest a simple modification to current policy that has potential to significantly amplify urgently needed benefits from limited vaccine supply.References1. Polack FP, Thomas SJ, Kitchin N, et al; C4591001 Clinical Trial Group. Safety and efficacy of the BNT162b2 mRNA covid-19 vaccine. N Engl J Med. 2020;383:2603-15. [PMID: 33301246] doi:10.1056/NEJMoa2034577 CrossrefMedlineGoogle Scholar2. Baden LR, El Sahly, Essink B, et al; COVE Study Group. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. 2020. [PMID: 33378609] doi:10.1056/NEJMoa2035389 Google Scholar3. Centers for Disease Control and Prevention. COVID-19 vaccine distribution allocations by jurisdiction—Pfizer. Accessed at https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/saz5-9hgg on 27 December 2020. Google Scholar Comments 0 Comments Sign In to Submit A Comment Jon MinfordNone5 January 2021 Single dose efficacy The authors have done an excellent job of modeling a flexible versus fixed strategy of vaccine distribution. Clearly holding doses in reserve for guaranteeing that the 2nd dose is given on time delays first dose availability to millions as they demonstrate statistically. Their core assumption that first dose efficacy is 54% is now known to be incorrect. Moderna and Pfizer have both submitted data to FDA that allows a clear projection that one dose of vaccine produces 80-90% efficacy. This has been thoroughly reviewed in UK and Germany which is why they are considering allowing a 6 month interval to get 2nd dose. Vaccine administration has been frightfully slow thus far and every tool available to speed up that first dose should be utilized. Why are we not giving the vaccine 7 days a week and 24 hours a day if doses are on the shelf unused. Retired Docs and nurses would be lined up to do this if needed. If you gave a vaccine shot as an incentive, it would be 4x longer. Author, Article, and Disclosure InformationAuthors: Ashleigh R. Tuite, PhD, MPH; Lin Zhu, MBBS, PhD; David N. Fisman, MD, MPH; Joshua A. Salomon, PhDAffiliations: Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, CanadaCenter for Health Policy, School of Medicine, Stanford University, Stanford, CaliforniaFinancial Support: Drs. Tuite and Fisman are supported by the Canadian Institutes for Health Research (2019 COVID-19 rapid researching funding OV4-170360). Drs. Zhu and Salomon are supported by the Centers for Disease Control and Prevention though the Council of State and Territorial Epidemiologists (NU38OT000297-02) and the National Institute on Drug Abuse (3R37DA01561217S1).Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M20-8137.Reproducible Research Statement: Study protocol, statistical code, and data set: Available at https://github.com/ashleighrt/covid19-vaccine-allocation.Corresponding Author: Joshua A. Salomon, PhD, Center for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, Encina Commons, 615 Crothers Way, Stanford, CA 94305; e-mail, salomon1@stanford.edu.Correction: This article was corrected on 2 June 2021 to correct the order of the authors.This article was published at Annals.org on 5 January 2021. 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