dc.contributor.author | Ruiz Herrera, Alfonso | |
dc.contributor.author | Torres, Pedro | |
dc.date.accessioned | 2022-05-30T12:02:18Z | |
dc.date.available | 2022-05-30T12:02:18Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Bulletin of Mathematical Biology, 83 (2021); doi:10.1007/s11538-021-00929-w | |
dc.identifier.uri | http://hdl.handle.net/10651/63391 | |
dc.description.abstract | In this paper, we analyze the influence of the usual movement variables on the spread
of an epidemic. Specifically, given two spatial topologies, we can deduce which topol-
ogy produces less infected individuals. In particular, we determine the topology that
minimizes the overall number of infected individuals. It is worth noting that we do not
assume any of the common simplifying assumptions in network theory such as all the
links have the same diffusion rate or the movement of the individuals is symmetric.
Our main conclusion is that the degree of mobility of the population plays a critical
role in the spread of a disease. Finally, we derive theoretical insights to management
of epidemics. | spa |
dc.description.sponsorship | Funding was provided by Ministry of Science and Technology (MTM2017-364758). | spa |
dc.language.iso | eng | spa |
dc.relation.ispartof | Bulletin of Mathematical Biology, 83 | spa |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights | © The Author(s) 2021 | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | The Role of Movement Patterns in Epidemic Models on Complex Networks | spa |
dc.type | journal article | spa |
dc.identifier.doi | 10.1007/s11538-021-00929-w | |
dc.local.notes | OA ATUO21 | |
dc.relation.projectID | MTM2017-364758 | spa |
dc.relation.publisherversion | https://doi.org/10.1007/s11538-021-00929-w | spa |
dc.rights.accessRights | open access | spa |
dc.type.hasVersion | VoR | |