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Cooperative epidemics on multiplex networks.

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This study models coinfection spread on multiplex networks, finding that disease cooperation can alter epidemic transitions. It reveals a tricritical point and hybrid transitions with increasing cooperation.

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Area of Science:

  • Epidemiology
  • Network Science
  • Mathematical Biology

Background:

  • Co-spreading of infectious diseases can occur, where one disease influences the transmission of another.
  • Multiplex networks, with multiple interacting layers, are realistic models for disease transmission.

Purpose of the Study:

  • To analytically investigate a coinfection model on a two-layer multiplex network with overlapping layers.
  • To determine the impact of disease cooperation on epidemic thresholds and stationary states.

Main Methods:

  • Utilizing a generating function method for exact calculations.
  • Analyzing a symmetric coinfection model on random, locally loopless multiplex networks.

Main Results:

  • Exact calculation of the fraction of coinfected individuals (coinfected clusters) in the stationary state.
  • Identification of epidemic spreading thresholds and the complete phase diagram.
  • Observation of a tricritical point and a transition from continuous to hybrid epidemic spread with increasing disease cooperation.

Conclusions:

  • Disease cooperation significantly impacts epidemic dynamics on multiplex networks.
  • The model predicts a shift in epidemic transition types, highlighting complex interplay between co-infecting diseases.