Eight challenges for network epidemic models

Epidemics. 2015 Mar;10:58-62. doi: 10.1016/j.epidem.2014.07.003. Epub 2014 Aug 4.

Abstract

Networks offer a fertile framework for studying the spread of infection in human and animal populations. However, owing to the inherent high-dimensionality of networks themselves, modelling transmission through networks is mathematically and computationally challenging. Even the simplest network epidemic models present unanswered questions. Attempts to improve the practical usefulness of network models by including realistic features of contact networks and of host-pathogen biology (e.g. waning immunity) have made some progress, but robust analytical results remain scarce. A more general theory is needed to understand the impact of network structure on the dynamics and control of infection. Here we identify a set of challenges that provide scope for active research in the field of network epidemic models.

Keywords: Contact networks; Control measures; Dynamic networks; Infectious disease models; Random graphs; Transmission dynamics.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Communicable Disease Control / statistics & numerical data
  • Communicable Diseases / epidemiology
  • Communicable Diseases / transmission
  • Epidemics / statistics & numerical data*
  • Host-Pathogen Interactions
  • Humans
  • Models, Statistical*