| Literature DB >> 18060461 |
William Floyd1, Leslie Kay, Michael Shapiro.
Abstract
We consider epidemics on social networks and address the question of whether administering a safe vaccine to one or more individuals can raise another individual's chances of becoming infected. Surprisingly, this can happen if transmission probabilities vary over time. If transmission probabilities do not vary with time, we show that in the discrete SIR model vaccination cannot cause collateral damage. We phrase this question in terms of monotonicity properties and answer it using bond percolation methods. By passing to a covering graph we are able to extend these results to models with more complicated latent and infective states.Mesh:
Year: 2007 PMID: 18060461 DOI: 10.1007/s11538-007-9275-0
Source DB: PubMed Journal: Bull Math Biol ISSN: 0092-8240 Impact factor: 1.758