A spatially stochastic epidemic model with partial immunization shows in mean field approximation the reinfection threshold

Nico Stollenwerk, Sander van Noort, Jose Martins, Maira Aguiar, Frank Hilker, Alberto Pinto, Gabriela Gomes

Research output: Contribution to journalArticlepeer-review

22 Citations (SciVal)

Abstract

Recently, the notion of a reinfection threshold in epidemiological models of only partial immunity has been debated in the literature. We present a rigorous analysis of a model of reinfection which shows a clear threshold behaviour at the parameter point where the reinfection threshold was originally described. Furthermore, we demonstrate that this threshold is the mean field version of a transition in corresponding spatial models of immunization. The reinfection threshold corresponds to the transition between annular growth of an epidemics spreading into a susceptible area leaving recovered behind and compact growth of a susceptible-infected-susceptible region growing into a susceptible area. This transition between annular growth and compact growth was described in the physics literature long before the reinfection threshold debate broke out in the theoretical biology literature.
Original languageEnglish
Pages (from-to)634-649
Number of pages16
JournalJournal of Biological Dynamics
Volume4
Issue number6
DOIs
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'A spatially stochastic epidemic model with partial immunization shows in mean field approximation the reinfection threshold'. Together they form a unique fingerprint.

Cite this