Effects of delayed recovery and nonuniform transmission on the spreading of diseases in complex networks.

Physica A

Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018 Zaragoza, Spain.

Published: April 2013

AI Article Synopsis

  • Delaying recovery time in infectious individuals can lower the epidemic threshold, making epidemics more likely to spread.
  • Nonuniform transmission among individuals raises the epidemic threshold, which helps to reduce the spread of disease.
  • When both delayed recovery and nonuniform transmission occur together, the effects of nonuniformity can outweigh the impact of delayed recovery, leading to a higher epidemic threshold overall.

Article Abstract

We investigate the effects of delaying the time to recovery (delayed recovery) and of nonuniform transmission on the propagation of diseases on structured populations. Through a mean-field approximation and large-scale numerical simulations, we find that postponing the transition from the infectious to the recovered states can largely reduce the epidemic threshold, therefore promoting the outbreak of epidemics. On the other hand, if we consider nonuniform transmission among individuals, the epidemic threshold increases, thus inhibiting the spreading process. When both mechanisms are at work, the latter might prevail, hence resulting in an increase of the epidemic threshold with respect to the standard case, in which both ingredients are absent. Our findings are of interest for a better understanding of how diseases propagate on structured populations and to a further design of efficient immunization strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126830PMC
http://dx.doi.org/10.1016/j.physa.2012.11.043DOI Listing

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