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Linking Immuno-Epidemiology Principles to Violence.

Anna Sisk1, Patricia Bamwine2, Judy Day3

  • 1Department of Mathematics, University of Tennessee, 1403 Circle Dr, 227 Ayres Hall, Knoxville, TN, 37916, USA. asisk9@vols.utk.edu.

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|November 19, 2022
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Summary

Understanding violence as a public health issue is crucial. Mathematical modeling, using infectious disease principles, reveals that investing in protective factors is more effective for violence prevention than post-exposure support.

Keywords:
Mathematical modelProtective factorsPublic healthViolence exposure

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Area of Science:

  • Public Health
  • Epidemiology
  • Mathematical Modeling

Background:

  • Violence is increasingly recognized as a public health concern, uniting medical, epidemiological, and psychological professionals.
  • Analogies are drawn between infectious disease epidemiology and the spread of violence within communities.
  • An epidemiological framework is proposed for studying violence dynamics.

Purpose of the Study:

  • To formalize the analogy between violence and infectious diseases.
  • To develop a mathematical model for violence spread using epidemiological principles.
  • To provide insights into effective violence prevention strategies through simulations.

Main Methods:

  • Formulated a susceptible-exposed-infected (SEI) mathematical model for violence spread.
  • Utilized mathematical epidemiological principles to inform the model.
  • Conducted numerical simulations to explore prevention strategy impacts.

Main Results:

  • Reducing the impact of violence exposure by half significantly decreases long-term community violence.
  • Increasing after-exposure support requires a fivefold increase to achieve similar outcomes.
  • Simulation results qualitatively align with existing empirical studies on violence.

Conclusions:

  • Mathematical models offer valuable insights into the efficacy of different violence prevention strategies.
  • Investing in protective factors is a more effective allocation of community resources than post-exposure support.
  • Findings emphasize the need for contextualizing model results within broader research on violence prevention.