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Epidemic spreading with activity-driven awareness diffusion on multiplex network.

Quantong Guo1, Yanjun Lei2, Xin Jiang1

  • 1School of Mathematics and Systems Science, Beihang University, Beijing 100191, China.

Chaos (Woodbury, N.Y.)
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Summary
This summary is machine-generated.

Human awareness of epidemics can improve epidemic thresholds and reduce disease spread. This study models epidemic and awareness spread on multiplex networks, finding awareness significantly impacts epidemic dynamics.

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Area of Science:

  • Epidemiology
  • Network Science
  • Computational Social Science

Background:

  • Human response to epidemics is crucial for disease control.
  • Multiplex networks effectively model complex real-world connections.
  • Understanding coupled epidemic and awareness dynamics is essential.

Purpose of the Study:

  • To investigate the interplay between epidemic spreading and human awareness on multiplex networks.
  • To develop and validate a model for predicting epidemic thresholds considering human response.
  • To explore how different awareness spreading models influence epidemic dynamics.

Main Methods:

  • Constructed a two-layer multiplex network: a time-varying information layer and a static contagion layer.
  • Extended the microscopic Markov chain approach to derive the epidemic threshold.
  • Validated the model using extensive Monte Carlo simulations.
  • Analyzed epidemic and awareness spreading using susceptible-infected-susceptible and threshold models.

Main Results:

  • Awareness spreading enhances epidemic thresholds and reduces epidemic prevalence.
  • The dynamics of awareness spreading can control epidemic onset.
  • Temporal network changes hinder awareness spread, impacting epidemic thresholds, especially with threshold models.

Conclusions:

  • Awareness significantly modulates epidemic dynamics on multiplex networks.
  • The choice of awareness spreading model critically influences epidemic threshold behavior.
  • Network topology changes over time play a vital role in disease containment strategies.