@article{fdi:010053481,
  title = {{A}n {A}gent-{B}ased {M}odel to study the epidemiological and evolutionary dynamics of {I}nfluenza viruses},
  author = {{R}oche, {B}enjamin and {D}rake, {J}. {M}. and {R}ohani, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {I}nfluenza {A} viruses exhibit complex epidemiological patterns in a number of mammalian and avian hosts. {U}nderstanding transmission of these viruses necessitates taking into account their evolution, which represents a challenge for developing mathematical models. {T}his is because the phrasing of multi-strain systems in terms of traditional compartmental {ODE} models either requires simplifying assumptions to be made that overlook important evolutionary processes, or leads to complex dynamical systems that are too cumbersome to analyse. {R}esults: {H}ere, we develop an {I}ndividual-{B}ased {M}odel ({IBM}) in order to address simultaneously the ecology, epidemiology and evolution of strain-polymorphic pathogens, using {I}nfluenza {A} viruses as an illustrative example. {C}onclusions: {W}e carry out careful validation of our {IBM} against comparable mathematical models to demonstrate the robustness of our algorithm and the sound basis for this novel framework. {W}e discuss how this new approach can give critical insights in the study of influenza evolution.},
  keywords = {},
  booktitle = {},
  journal = {{B}mc {B}ioinformatics},
  volume = {12},
  numero = {},
  pages = {87},
  ISSN = {1471-2105},
  year = {2011},
  DOI = {10.1186/1471-2105-12-87},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053481},
}