Infectious Risks Across Scales

The ready-to-use Python source files of our algorithm to assess COVID-19 transmission risks in crowds are freely available here:

https://github.com/an363/InfectiousRisksAcrossScales

Details (along with a users' example in the first one) can be found in the following publications

​

Nicolas, A., & Mendez, S. (2023). Viral transmission in pedestrian crowds: Coupling an open-source code assessing the risks of airborne contagion with diverse pedestrian dynamics models. Collective Dynamics (2024)  https://doi.org/10.17815/CD.2024.159

​

Simon MENDEZ, Willy GARCIA, Alexandre NICOLAS, From Microscopic Droplets to Macroscopic Crowds: Crossing the Scales in Models of Short-Range Respiratory Disease Transmission, with Application to COVID-19, Advanced Science (2023), https://doi.org/10.1002/advs.202205255

​

Please understand that the code is provided as-is, with no warranty.