Geocomputational Approach to Simulate and Understand the Spatial Dynamics of COVID-19 Spread in the City of Montreal, QC, Canada
Throughout history, pandemics have forced societies to think beyond typical management and control protocols. The main goals of this study were to simulate and understand the spatial dynamics of COVID-19 spread and assess the efficacy of two policy measures in Montreal, Canada, to mitigate the COVID...
Main Authors: | Navid Mahdizadeh Gharakhanlou, Liliana Perez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/11/12/596 |
Similar Items
-
Spatio-temporal simulation of the novel coronavirus (COVID-19) outbreak using the agent-based modeling approach (case study: Urmia, Iran)
by: Navid Mahdizadeh Gharakhanlou, et al.
Published: (2020-01-01) -
Geocomputation /
by: Openshaw, Stan, et al.
Published: (2000) -
Spatio-Temporal Analysis of the Spread of ASF in the Russian Federation in 2017-2019
by: Andrey Blokhin, et al.
Published: (2020-06-01) -
Simulazioni geospaziali
by: Francesco Bartoli
Published: (2007-03-01) -
Simulazioni geospaziali
by: Francesco Bartoli
Published: (2007-03-01)