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Random networks are emerging in epidemiology as a way of simulating more realistic random contact behaviours. A network is a set of nodes representing individuals. Labels or properties may be assigned to each node, for instance, age, sex, state respect to disease (susceptibility, infection, recovery, etc.). Nodes are connected by ties that represent disease… (More)

- Luis Acedo
- 2014

- Lina Pérez-Breva, Rafael J Villanueva, Javier Villanueva-Oller, Luis Acedo, Francisco Santonja, José A Moraño +3 others
- BMC infectious diseases
- 2014

BACKGROUND
Meningococcal C (MenC) conjugate vaccines have controlled invasive diseases associated with this serogroup in countries where they are included in National Immunization Programs and also in an extensive catch-up program involving subjects up to 20 years of age. Catch-up was important, not only because it prevented disease in adolescents and young… (More)

- Luis Acedo
- 2015

We consider a parametrized torsion gravity model for Riemann–Cartan geometry around a rotating axisymmetric massive body. In this model, the source of torsion is given by a circulating vector potential following the celestial parallels around the rotating object. Ours is a variant of the Mao, Tegmark, Guth and Cabi (MTGC model) in which the total angular… (More)

- Luis Acedo, Lorenzo Iorio
- 2015

- Gilberto González-Parra, Luis Acedo, Abraham J. Arenas
- Numerical Algorithms
- 2013

In this research we apply an analytic approach to solve the well-known Lorenz system in the non-chaotic regime. The proposed approach is based on modal expansion by infinite series. The analytical-numerical results show that for real initial conditions and under the non-convective regime the modal expansion series reproduce correctly the dynamical behavior… (More)