Local survival of spread of infection among biased random walks

Rangel Baldasso, Alexandre Stauffer

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We study infection spread among biased random walks on Z d . The random walks move independently and an infected particle is placed at the origin at time zero. Infection spreads instantaneously when particles share the same site and there is no recovery. If the initial density of particles is small enough, the infected cloud travels in the direction of the bias of the random walks, implying that the infection does not survive locally. When the density is large, the infection spreads to the whole Z d . The proofs rely on two different techniques. For the small density case, we use a description of the infected cloud through genealogical paths, while the large density case relies on a renormalization scheme.

Original languageEnglish
Article number135
Pages (from-to)1-28
JournalElectronic Journal of Probability
Early online date6 Oct 2022
Publication statusPublished - 31 Dec 2022

Bibliographical note

Funding Information:
*Supported by EPSRC Fellowship EP/N004566/1.


  • biased random walks
  • infection processes
  • interacting particle systems

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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