Search Everything

Find articles, journals, projects, researchers, and more

Back to Articles

An Evidence-Based Approach to Covid-19 Vaccination

Authors:
Vinay Prasad, M.D., M.P.H., and Martin A. Makary, M.D., M.P.H.

Abstract

 This commentary outlines a recalibrated framework for U.S. Covid-19 vaccination policy, emphasizing the need for risk-based precision and stronger clinical trial data in healthy populations. In contrast to Europe and other high-income nations that target older or high-risk individuals, the U.S. has adopted a broad, age-inclusive approach one the authors argue lacks sufficient evidence for continued boosters in low-risk groups under age 65. FDA's updated stance supports continued vaccine approval for high-risk individuals (based on immunogenicity) while urging randomized, controlled trials for healthy adults and children, particularly for annual booster recommendations. The authors cite low booster uptake (<25% overall) and rising public vaccine skepticism, which may be harming broader immunization efforts (e.g., MMR). They stress the importance of generating robust clinical outcome data (infection, hospitalization, death), not just antibody response, especially for repeat boosters. The article also calls for nuanced risk communication, greater trial transparency, and postmarketing commitments to evidence development for younger, healthy populations.


Keywords: Covid-19 vaccine policy FDA guidance booster strategy high-risk populations randomized trials immunogenicity endpoints public trust regulatory framework
DOI: https://doi.ms/10.00420/ms/9870/4K0TS/AWE | Volume: 1 | Issue: 1 | Views: 0
Download Full Text (Free)
Article Document
1 / 1
100%

Subscription Required

Your subscription has expired. Please renew your subscription to continue downloading articles and access all premium features.

  • Unlimited article downloads
  • Access to premium content
  • Priority support
  • No ads or interruptions

Upload

To download this article, you can either subscribe for unlimited downloads, or upload 0 items (articles and/or projects) to download this specific article.

Total: 0 / 0
  • Choose any combination (e.g., 2 articles + 1 project = 3 total)
  • After uploading, you can download this specific article
  • Or subscribe for unlimited downloads of all articles