1 Citation (SciVal)
25 Downloads (Pure)


Having knowledge of the contact network over which an infection is spreading opens the possibility of making individualized predictions for the likelihood of different nodes to become infected. When multiple infective strains attempt to spread simultaneously we may further ask which strain, or strains, are most likely to infect a particular node. In this article we investigate the heterogeneity in likely outcomes for different nodes in two models of multi-type epidemic spreading processes. For models allowing co-infection we derive message-passing equations whose solution captures how the likelihood of a given node receiving a particular infection depends on both the position of the node in the network and the interaction between the infection types. For models of competing epidemics in which co-infection is impossible, a more complicated analysis leads to the simpler result that node vulnerability factorizes into a contribution from the network topology and a contribution from the infection parameters.
Original languageEnglish
Article number20200587
JournalProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Issue number2243
Early online date4 Nov 2020
Publication statusPublished - 25 Nov 2020


Dive into the research topics of 'Heterogeneous node responses to multi-type epidemics on networks'. Together they form a unique fingerprint.

Cite this