Literature DB >> 18060461

Some elementary properties of SIR networks or, can i get sick because you got vaccinated?

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


  1 in total

Review 1.  Finding the probability of infection in an SIR network is NP-Hard.

Authors:  Michael Shapiro; Edgar Delgado-Eckert
Journal:  Math Biosci       Date:  2012-07-20       Impact factor: 2.144

  1 in total

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