@inproceedings{fdi:010091526,
  title = {{U}sing agent-based modelling to understand advantageous behaviours against {COVID}-19 transmission in the built environment},
  author = {{G}rignard, {A}. and {N}guyen-{H}uu, {T}ri and {T}aillandier, {P}. and {A}lonso, {L}. and {A}youb, {N}. and {E}lkatsha, {M}. and {P}alomo, {G}. and {G}omez, {M}. and {S}iller, {M}. and {G}amboa, {M}. and {M}oreno, {C}.{I}. and {L}arson, {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he global {C}ovid-19 pandemic has raised many questions about how we occupy and move in the built environment. {I}nterior environments have been increasingly discussed in numerous studies highlighting how interior spaces play a key role in the spread of pandemics. {O}ne



societal challenge is to find short-term strategies to reopen indoor venues. {M}ost current approaches focus on an individual's behavior (maintaining social distance, wearing face masks, and washing their hands) and government policies (confinement, curfew, quarantine, etc.). {H}owever, few studies have been conducted to understand a building's interior where most transmission takes place. {H}ow will the utilization of existing interior spaces be improved above and beyond universally applied criteria, while minimizing the risk of disease transmission ? {T}his article presents an agent-based model that examines disease transmission risks in various 'interior types' in combination with user behaviors and their mobility, as well as three types of transmission vectors (direct, airborne and via surfaces). {T}he model also integrates numerous policy interventions, including wearing masks, hand washing, and the possibility of easily modifying the organization of spaces. {D}ifferent studies at various scales were conducted both on the {U}niversity of {G}uadalajara ({U}de{G}) campus as well as at the {MIT} {M}edia {L}ab to illustrate the application of this model.},
  keywords = {},
  numero = {13128},
  pages = {86--98},
  booktitle = {{M}ulti-agent-based simulation {XXII}},
  year = {2022},
  DOI = {10.1007/978-3-030-94548-0_7},
  URL = {https://www.documentation.ird.fr/hor/fdi:010091526},
}