Abstract

Mehul D. Patel, PhD; Erik Rosenstrom, BS; Julie S. Ivy, PhD; Maria E. Mayorga, PhD; Pinar Keskinocak, PhD; Ross M. Boyce, MD, MSc; Kristen Hassmiller Lich, PhD; Raymond L. Smith III, PhD; Karl T. Johnson, BA; Paul L. Delamater, PhD; Julie L. Swann, PhD

Highlights

  • Elsewhere in JAMA Network Open, Patel et al[2] describe an agent-based mathematical modeling approach to simulate several scenarios of different vaccine effectiveness and vaccine coverage associated with maintaining or discontinuing nonpharmaceutical interventions (NPIs) within a large representative sample of a synthetic population of more than 1 million people in North Carolina

  • The results reported by Patel et al[2] are consistent with the findings from other studies that have examined the interplay between public health interventions and COVID-19 vaccination

  • The model predicted that in the absence of NPIs, the future R would remain elevated at 1.58 (95% credible interval, 1.36-1.84), even with most eligible adults receiving both doses of vaccine, based on the modeled vaccine coverage, for the vaccine offering 85% protection against the infection

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Summary

Introduction

Elsewhere in JAMA Network Open, Patel et al[2] describe an agent-based mathematical modeling approach to simulate several scenarios of different vaccine effectiveness and vaccine coverage associated with maintaining or discontinuing NPIs within a large representative sample of a synthetic population (agents) of more than 1 million people in North Carolina. The results reported by Patel et al[2] are consistent with the findings from other studies that have examined the interplay between public health interventions and COVID-19 vaccination.

Results
Conclusion
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