1] World Health Organization, Coronavirus disease (COVID-19) advice for the public, Last updated: 4 June 2020.

[2] S L Miller, W W Nazaroff, J L Jimenez, A Boerstra, G Buonanno, S J Dancer, J Kurnitski, L C Marr, L Morawska, C Noakes, Transmission of SARS-CoV-2 by inhalation of respiratory aerosol in the Skagit Valley Chorale superspreading event, Indoor Air 31, 314 (2020).
https://doi.org/10.1111/ina.12751

[3] L Marr, S Miller, C Haas, W Bahnfleth, R Corsi, J Tang, H Herrmann, K Pollitt, and J L Jimenez, FAQs on Protecting Yourself from COVID-19 Aerosol Transmission, Last updated: 1 October 2020.

[4] K Rathinakumar, A Quaini, A microscopic approach to study the onset of a highly infectious disease spreading, Math. Biosci. 329, 108475 (2020).
https://doi.org/10.1016/j.mbs.2020.108475

[5] T Harweg, D Bachmann, F Weichert, Agent-based simulation of pedestrian dynamics for exposure time estimation in epidemic risk assessment, J. Public Health, 1 (2021).
https://doi.org/10.1007/s10389-021-01489-y

[6] C A S Pouw, F Toschi, F van Schadewijk, A Corbetta, Monitoring physical distancing for crowd management: Real-time trajectory and group analysis, PLoS ONE 15, e0240963 (2020).
https://doi.org/10.1371/journal.pone.0240963

[7] C M Mayr, G Köster, Social distancing with the optimal steps model, arXiv preprint, arXiv:2007.01634 (2020).

[8] S P Hoogendoorn, P H L Bovy, Pedestrian route-choice and activity scheduling theory and models, Transport. Res. B: Meth. 38, 169 (2004).
https://doi.org/10.1016/S0191-2615(03)00007-9

[9] J Yao, C Lin, X Xie, A J Wang, C C Hung, Path planning for virtual human motion using improved A* star algorithm, In: 2010 Seventh Int. Conf. on Information Tech.: New generations, IEEE, Pag. 1154, Las Vegas (NV, USA) (2010).
https://doi.org/10.1109/ITNG.2010.53

[10] G Baglietto, D R Parisi, Continuous-space automaton model for pedestrian dynamics, Phys. Rev. E 83, 056117 (2011).
https://doi.org/10.1103/PhysRevE.83.056117

[11] R Martin, D Parisi, Pedestrian collision avoidance with a local dynamic goal, Collective Dynamics 5, 324 (2020).
https://doi.org/10.17815/CD.2020.66

[12] D Helbing, I Farkas, T Vicsek, Simulating dynamical features of escape panic, Nature 407, 487 (2000).
https://doi.org/10.1038/35035023

[13] A Johansson, D Helbing, P K Shukla, Specification of the social force pedestrian model by evolutionary adjustment to video tracking data, Adv. Complex Syst. 10, 271 (2007).
https://doi.org/10.1142/S0219525907001355

[14] I Karamouzas, P Heil, P Van Beek, M H Overmars, A predictive collision avoidance model for pedestrian simulation, In: Motion in games, Eds. A Egges, R Geraerts, M Overmars, Pag. 41, Springer, The Netherlands (2009).
https://doi.org/10.1007/978-3-642-10347-6_4