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Vaccination and Covering Behaviors Against Mpox: Timing, Effectiveness and Robustness

  • Shilpi Jain
  • , Taye Samuel Faniran
  • , Matthew O. Adewole
  • , L. N. Nkamba
  • , Praveen Agarwal
  • , Hossein Jafari
  • Poornima College of Engineering
  • University of California at San Francisco
  • Lead City University
  • Universiti Sains Malaysia
  • Mountain Top University
  • Université de Yaoundé I
  • Saveetha Institute of Medical and Technical Sciences (Deemed to be University)
  • International College of Engineering
  • University of South Africa

Research output: Contribution to journalArticlepeer-review

Abstract

When it comes to the control of mpox, vaccination plays a key role, but there are supply and uptake limiations faced by real world rollout. Lesion covering is a simple, low-cost behavior that could reduce transmission immediately, yet its role has remained underexplored. This study presents a modeling framework that incorporates vaccination throughput, vaccine efficacy, adoption of covering, protection durability, and persistence. Using this framework, we simulated U.S. outbreak patterns under vaccination-only, covering-only, and combined approaches. We assessed the consistency of outcomes across uncertain parameters through global sensitivity analysis and Latin Hypercube sampling. We show that vaccination and covering are not substitutes but synergistic levers. Vaccination alone reduces cumulative cases by 34.2% and yields epidemic control in only 24.3% of simulations. Covering alone contributes almost nothing (-0.2%; 0% chance of control). In contrast, combining both cuts cumulative burden by 80.0% and nearly doubles the probability of suppression (P(Re<1) rises from 0.243 to 0.476). Persistence matters: when covering rapidly wanes, its impact disappears, but when sustained, it markedly enhances vaccination effectiveness. Global sensitivity analyses reveal four dominant drivers; transmission, recovery, covering protection, and two-dose effectiveness, with behavioral reversion strongly shaping outcomes. Our results demonstrate that lesion covering is best understood not as a standalone solution, but as a force multiplier for vaccination. By extending coverage before vaccines reach scale and by sustaining reductions afterward, covering nearly doubles the likelihood of epidemic control.

Original languageEnglish
JournalBoletim da Sociedade Paranaense de Matematica
Volume44
Issue number9
DOIs
StatePublished - 12 Mar 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Mpox
  • epidemic modeling
  • lesion covering
  • outbreak control
  • vaccination

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