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Preface

  • J.M. Hyman (a1), F. Milner (a2) and J. Saldaña (a3)

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[1] Anderson, R.M.. The epidemiology if HIV infection: Variable incubation plus infectious periods and heterogeity in sexual activity. J. R. Statist. Soc. A, 151 (1988), 6693.
[2] R.M. Anderson, R.M. May. Infectious diseases of humans; dynamics and control, Oxford Univ. Press, Oxford, 1991.
[3] O. Diekmann, J.A.P. Heesterbeek, T. Britton, Mathematical tools for understanding infectious diseases dynamics, Princeton University Press, Princeton, 2013.
[4] House, T.. Non-Markovian stochastic epidemics in extremely heterogeneous populations. Math. Model. Nat. Phenom., 9 (2014), no. 2, 153160.
[5] Jolly, A.M., Wylie, J. L.. Gonorrhoea and chlamydia core groups and sexual networks in Manitoba. Sex. Transm. Infect. 78 (2002), i145i151.
[6] Juher, D., Mañosa, V.. Spectral properties of the connectivity matrix and the SIS-epidemic threshold for mid-size metapopulations. Math. Model. Nat. Phenom., 9 (2014), no. 2, 108120.
[7] Meyers, L.A., Pourbohloul, B., Newman, M.E.J., Skowronski, D.M., Brunham, R.C.. Network theory and SARS: predicting outbreak diversity. J. Theor. Biol. 232 (2005), 7181.
[8] McMahon, B.H., Manore, C.A., Hyman, J.M., LaBute, M.X., Fair, J.M.. Coupling vector-host dynamics with weather geography and mitigation measures to model Rift Valley fever in Africa. Math. Model. Nat. Phenom., 9 (2014), no. 2, 161177.
[9] Miller, J.C., Kiss, I.Z.. Epidemic spread in networks: existing methods and current challenges. Math. Model. Nat. Phenom., 9 (2014), no. 2, 442.
[10] Nagy, N., Kiss, I.Z., Simon, P.L.. Approximate master equations for dynamical processes on graphs. Math. Model. Nat. Phenom., 9 (2014), no. 2, 4357.
[11] Rattana, P., Miller, J.C., Kiss, I.Z.. Pairwise and edge-based models of epidemic dynamics on correlated weighted networks. Math. Model. Nat. Phenom., 9 (2014), no. 2, 5881.
[12] Bradonjic, M.. Outbreak of infectious diseases through the weighted random connection model. Math. Model. Nat. Phenom., 9 (2014), no. 2, 8288.
[13] Riley, S. et al. Transmission dynamics of the etiological agent of SARS in Hong Kong: Impact of public health interventions. Science 300 (2003), 19611966.
[14] Romero-Severson, E.O., Meadors, G.D., Volz, E.M.. A generating function approach to HIV transmission with dynamic contact rates. Math. Model. Nat. Phenom., 9 (2014), no. 2, 121135.
[15] Sahneh, F.D., Chowdhury, F.N., Brase, G., Scoglio, C.M.. Individual-based information dissemination in multilayer epidemic modeling. Math. Model. Nat. Phenom., 9 (2014), no. 2, 136152.
[16] Szabó-Solticzky, A., Simon, P.L.. The effect of graph structure on epidemic spread in a class of modified cycle graphs. Math. Model. Nat. Phenom., 9 (2014), no. 2, 89107.
[17] Yorke, J.A., Hethcote, H.W., Nold, A.. Dynamics and control of the transmission of gonorrhea. Sex. Transm. Dis. 5 (1978), 5156.

Preface

  • J.M. Hyman (a1), F. Milner (a2) and J. Saldaña (a3)

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