4665797
doi
10.5281/zenodo.4665797
oai:zenodo.org:4665797
user-gisruk_2021
Ford, Alistair
School of Engineering, Newcastle University, Newcastle upon Tyne, UK
3D Agent-Based Model of pedestrian movements for simulating COVID-19 transmission in university students
Castro, David Alvarez
School of Engineering, Newcastle University, Newcastle upon Tyne, UK
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>COVID-19, a new infectious disease, constitutes a threat to humanity due to its easy transmissibility. Measures, such as the use of facemasks, lockdowns and self-isolation, have been put in place to keep the population safe, but their efficiencies should be tested. Agent-Based Modelling constitutes an interesting tool to analyse the efficiencies of these measures in society, taking into account the spatio- temporal interactions agents have during their daily routines. In this paper, the transmission of COVID-19 and restrictions applied to students living in student accommodations are simulated and tested to identify their effectiveness in controlling the spread of the pandemic.</p>
Zenodo
2021-04-06
info:eu-repo/semantics/conferencePaper
4665796
user-gisruk_2021
1617755244.468512
858936
md5:f9a471e00b8b912e0ae8f6ab585fef2d
https://zenodo.org/records/4665797/files/GISRUK2021_paper_46.pdf
public
10.5281/zenodo.4665796
isVersionOf
doi