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Some Elementary Properties of SIR Networks or, Can I Get Sick because You Got Vaccinated?

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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.

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References

  • Anderson, R.M., 1991. Discussion: the Kermack–McKendrick epidemic threshold theorem. Bull. Math. Biol. 53, 3–32.

    Article  Google Scholar 

  • Colizza, V., Barrat, A., Barthelemy, M., Valleron, A.-J., Vespignani, A., 2007. Modeling the Worldwide spread of pandemic influenza: baseline case and containment interventions. PLoS Medecine 4.

  • Dezsö, Z., Barabási, A.-L., 2002. Halting viruses in scale-free networks. Phys. Rev. E 65, 055103(R).

    Article  Google Scholar 

  • Eubank, S., Anil Kumar, V.S., Marathe, M.V., Srinivasan, A., Wang, N., 2006. Structure of social contact networks and their impact on epidemics. In: Abello, J., Cormode, G. (Eds.), Discrete Methods in Epidemiology. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 70, pp. 179–185.

  • Ferrari, M.J., Bansal, S., Meyers, L.A., Björnstad, O.N., 2006. Network frailty and the geometry of herd immunity. Proc. Roy. Soc. B 273, 2743–2748.

    Article  Google Scholar 

  • Grassberger, P., 1983. Critical behavior of the general epidemic process and dynamical percolation. Math. Biosci. 63, 157–172.

    Article  MATH  Google Scholar 

  • Hartvigsen, G., Dresch, J.M., Zielinski, A.L., Macula, A.J., Leary, C.C., 2007. Network structure, and vaccination strategy and effort interact to affect the dynamics of influenza epidemics. J. Theor. Biol. 246, 205–213.

    Article  MathSciNet  Google Scholar 

  • Kermack, W.O., McKendrick, A.G., 1927. A contribution to the mathematical theory of epidemics. Proc. Roy. Soc. Lond. A 115, 700–721.

    Article  Google Scholar 

  • Meyers, L.A., 2007. Contact network epidemiology: bond percolation applied to infectious disease prediction and control. Bull. Am. Math. Soc. 44, 63–86.

    Article  MATH  MathSciNet  Google Scholar 

  • Newman, M.E.J., 2002. Spread of epidemic disease on networks. Phys. Rev. E 66, 016128.

    Article  MathSciNet  Google Scholar 

  • Sander, L.M., Warren, C.P., Sokolov, I.M., Simon, C., Koopman, J., 2002. Percolation on heterogeneous networks as a model for epidemics. Math. Biosci. 180, 293–205.

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Michael Shapiro.

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Floyd, W., Kay, L. & Shapiro, M. Some Elementary Properties of SIR Networks or, Can I Get Sick because You Got Vaccinated?. Bull. Math. Biol. 70, 713–727 (2008). https://doi.org/10.1007/s11538-007-9275-0

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  • DOI: https://doi.org/10.1007/s11538-007-9275-0

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