Presence and infestation waves of hematophagous arthropod species

M Adrian Acuña-Zegarra1, Mayra R Tocto-Erazo1, Claudio C García-Mendoza1

  • 1Departamento de Matemáticas, Universidad de Sonora, Blvd. Luis Encinas y Rosales S/N, 83000, Hermosillo, Sonora, Mexico.

Mathematical Biosciences
|August 19, 2024
PubMed

Insights

Hematophagous arthropod invasions pose economic and health risks. A new reaction-diffusion model identifies two invasion levels and predicts infestation thresholds, aiding control strategies for species like bedbugs.

Area of Science:

  • Ecology and mathematical modeling of invasive species.
  • Public health and economic impact of arthropod invasions.

Background:

  • Hematophagous arthropod invasions in human settlements present significant economic and public health challenges.
  • Recent invasions in major cities highlight the urgent need to understand and manage these dynamics.

Purpose of the Study:

  • To develop and analyze a reaction-diffusion model for predicting hematophagous arthropod invasion dynamics.
  • To investigate the influence of density-dependent growth and control parameters on invasion patterns.
  • To analytically determine invasion thresholds and wave behaviors.

Main Methods:

  • Development of a reaction-diffusion mathematical model incorporating density-dependent growth.
  • Analytical investigation of model solutions to prove the existence of invasion waves.
  • Parameter analysis to identify conditions leading to different invasion levels (presence vs. infestation).

Main Results:

  • The model demonstrates two distinct invasion levels: presence and infestation, contingent on control parameter values.
  • Analytical proofs confirm the existence of both presence and infestation waves.
  • A critical threshold condition for infestation occurrence was identified.
  • Simulations illustrate invasion dynamics for specific species like bedbugs and brown dog ticks.

Conclusions:

  • The reaction-diffusion model provides a robust framework for understanding and predicting arthropod invasions.
  • Control strategies can be informed by the identified invasion thresholds and wave dynamics.
  • The study offers insights into managing specific invasive hematophagous arthropods.

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