Affiliation:
1. Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health & Health Policy, New York City, New York, USA
2. Johns Hopkins Berman Institute of Bioethics, Baltimore, Maryland, USA
Abstract
Abstract
Background
The protection that an influenza vaccine offers can vary significantly from person to person due to differences in immune systems, body types, and other factors. The question, then, is what is the value of efforts to reduce this variability such as making vaccines more personalized and tailored to individuals.
Methods
We developed a compartment model of the United States to simulate different influenza seasons and the impact of reducing the variability in responses to the influenza vaccine across the population.
Results
Going from a vaccine that varied in efficacy (0–30%) to one that had a uniform 30% efficacy for everyone averted 16.0–31.2 million cases, $1.9–$3.6 billion in direct medical costs, and $16.1–$42.7 billion in productivity losses. Going from 0–50% in efficacy to just 50% for everyone averted 27.7–38.6 million cases, $3.3–$4.6 billion in direct medical costs, and $28.8–$57.4 billion in productivity losses. Going from 0–70% to 70% averted 33.6–54.1 million cases, $4.0–$6.5 billion in direct medical costs, and $44.8–$64.7 billion in productivity losses.
Conclusions
This study quantifies for policy makers, funders, and vaccine developers and manufacturers the potential impact of efforts to reduce variability in the protection that influenza vaccines offer (eg, developing vaccines that are more personalized to different individual factors).
Funder
Johns Hopkins Center for Bridging Infectious Diseases, Genomics and Society
Center for Excellence in Ethical, Legal, and Social Implications Research
AHRQ
National Institute of General Medical Sciences
Eunice Kennedy Shriver National Institute of Child Health and Human Development Office of Behavioral and Social Sciences Research
Publisher
Oxford University Press (OUP)
Subject
Infectious Diseases,Immunology and Allergy
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