@article{fdi:010090543,
  title = {{COMOKIT} v2 : a multi-scale approach to modeling and simulating epidemic control policies},
  author = {{T}aillandier, {P}atrick and {C}hapuis, {K}evin and {G}audou, {B}. and {B}rugi{\`e}re, {A}. and {D}rogoul, {A}lexis},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {COVID}-19 crisis demonstrated the importance of using models to understand, predict, and manage epidemics, in particular by assessing in advance the effect of different intervention policies. {N}umerous models have been proposed to answer a wide range of questions, from the impact of open borders to the effectiveness of neighborhood containment to the role of building ventilation in virus dispersion. {H}owever, the vast majority of these models are only suited to a scale of representation, analysis, or experimentation. {I}n this article, we present the latest version of the {COMOKIT} toolbox, which is based on the integration of 3 models ({COMOKIT}-micro, {COMOKIT}-meso, and {COMOKIT}-macro) enabling these questions to be addressed at different geographical scales of analysis and exploration, from the building scale to the scale of entire countries. {A}n application of these 3 models to various questions concerning public health policies against {COVID}-19 is presented and discussed.},
  keywords = {},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {19},
  numero = {3},
  pages = {e0299626 [24 ]},
  ISSN = {1932-6203},
  year = {2024},
  DOI = {10.1371/journal.pone.0299626},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090543},
}