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Related Experiment Video

Updated: May 20, 2026

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

Inhomogeneous epidemics on weighted networks.

Tom Britton1, David Lindenstrand

  • 1Department of Mathematics, Stockholm University, SE-106 91 Stockholm, Sweden. tom.britton@math.su.se

Mathematical Biosciences
|July 4, 2012
PubMed
Summary

This study models sexual networks and epidemics, finding that increased community heterogeneity generally raises the basic reproduction number (R(0)). However, complex interactions between different types of heterogeneity can unexpectedly decrease R(0).

Related Experiment Videos

Last Updated: May 20, 2026

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

Area of Science:

  • Epidemiology
  • Network Science
  • Mathematical Biology

Background:

  • Social networks, particularly sexual contact networks, play a crucial role in disease transmission.
  • Understanding epidemic dynamics requires accounting for individual heterogeneity in susceptibility and infectiousness.

Purpose of the Study:

  • To model epidemic spread on weighted social networks with heterogeneous individuals.
  • To analyze the basic reproduction number (R(0)) and outbreak characteristics in such networks.

Main Methods:

  • Extension of the configuration model to weighted networks representing sexual contacts.
  • Development of an epidemic model incorporating individual heterogeneity in susceptibility and infectivity.
  • Derivation and analysis of the basic reproduction number (R(0)) and outbreak probabilities.

Main Results:

  • Increased community heterogeneity generally leads to a larger basic reproduction number (R(0)).
  • Interactions between different forms of heterogeneity (degree, weight, susceptibility, infectivity) can homogenize the network, reducing R(0).
  • The impact of heterogeneity on outbreak probability and final size is complex and multifaceted.

Conclusions:

  • Community heterogeneity is a key factor influencing epidemic potential in sexual networks.
  • The interplay of various heterogeneity types can lead to counterintuitive effects on disease spread.
  • Further research is needed to fully elucidate the complex dynamics of outbreaks in heterogeneous sexual networks.