dc.contributor |
Centre de Recerca Matemàtica |
dc.contributor.author |
Calsina, Àngel |
dc.contributor.author |
Palmada Privat, Josep Ma. |
dc.contributor.author |
Ripoll, Jordi |
dc.date.accessioned |
2010-01-07T10:11:35Z |
dc.date.available |
2010-01-07T10:11:35Z |
dc.date.created |
2009-10 |
dc.date.issued |
2009-10 |
dc.identifier.uri |
http://hdl.handle.net/2072/43189 |
dc.format.extent |
21 |
dc.format.extent |
231958 bytes |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Centre de Recerca Matemàtica |
dc.relation.ispartofseries |
Prepublicacions del Centre de Recerca Matemàtica;882 |
dc.rights |
Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i el centre i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (http://creativecommons.org/licenses/by-nc-nd/2.5/es/) |
dc.title |
Optimal latent period in a bacteriophage population model structured by infection-age |
dc.type |
info:eu-repo/semantics/preprint |
dc.description.abstract |
We study the lysis timing of a bacteriophage population by means of a continuously infection-age-structured population dynamics model. The features of the model are the infection process of bacteria, the natural death process, and the lysis process which means the replication of bacteriophage
viruses inside bacteria and the destruction of them. We consider that the length of the lysis timing (or latent period) is distributed according to a general probability distribution function. We have carried out an optimization procedure and we have found the latent period corresponding to the maximal fitness (i.e. maximal growth rate) of the bacteriophage population. |