Urban environmental and population factors as determinants of COVID-19 severity: A spatially-resolved probabilistic modeling approach.
COVID-19 is caused by a severe acute respiratory syndrome due to the SARS-CoV-2 coronavirus. It has reshaped the world with the way our communities interact, people work, commute, and spend their leisure time. While different mitigation solutions for controlling COVID-19 virus transmission have alre...
Saved in:
| Main Authors: | Jacob Roxon, Marie-Sophie Dumont, Eric Vilain, Mircea T Sofonea, Roland J-M Pellenq |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-07-01
|
| Series: | PLOS Digital Health |
| Online Access: | https://doi.org/10.1371/journal.pdig.0000921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
OPTIMIZATION OF THE PROBABILISTIC ALGORITHM FOR RESOLVING AIRSPACE CONFLICTS
by: Gabriela STROE, et al.
Published: (2020-12-01) -
Determining disease intervention strategies using spatially resolved simulations.
by: Mark Read, et al.
Published: (2013-01-01) -
SARS-CoV-2 epidemiology, kinetics, and evolution: A narrative review
by: Samuel Alizon, et al.
Published: (2025-12-01) -
A Well-Posed Evolutionary Inclusion in Mechanics
by: Rawane Mansour, et al.
Published: (2025-06-01) -
Optical Force Probes for Spatially Resolved Imaging of Polymer Damage and Failure
by: Berçin V. Asya, et al.
Published: (2025-04-01)