Short and Long-Term Dynamics of Childhood Diseases on Dynamic Small-World Networks
| dc.creator | Verdasca, J. | |
| dc.date | 2005-12-26 | |
| dc.date.accessioned | 2026-07-07T06:56:29Z | |
| dc.date.available | 2026-07-07T06:56:29Z | |
| dc.description | We have performed individual-based lattice simulations of SIR and SEIR dynamics to investigate both the short and long-term dynamics of childhood epidemics. In our model, infection takes place through a combination of local and long-range contacts, in practice generating a dynamic small-world network. Sustained oscillations emerge with a period much larger than the duration of infection. We found that the network topology has a strong impact on the amplitude of oscillations and in the level of persistence. Diseases do not spread very effectively through local contacts. This can be seen by measuring an {\em effective} transmission rate $β_{\mbox {\scriptsize eff}}$ as well as the basic reproductive rate $R_0$. These quantities are lower in the small-world network than in an homogeneously mixed population, whereas the average age at infection is higher. | |
| dc.description | Proceedings of the II International Symposium on Mathematical and Computational Biology - BIOMAT 2005, Petropolis, RJ, Brasil, 03-08 Dec 2005. World Scientific Publishing co | |
| dc.identifier | https://arxiv.org/abs/q-bio/0512044 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0512044 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/106654 | |
| dc.subject | Populations and Evolution | |
| dc.title | Short and Long-Term Dynamics of Childhood Diseases on Dynamic Small-World Networks | |
| dc.type | text |