GeoModeller (C19GM-US): a Georeferenced Model to Study the Dispersion of the SARS-Cov2 Virus, Projecting the Impact of Covid19 on Both the Population and the Sanitary System of USA
Abstract
Measures to reduce the impact of the COVID-19 pandemic require a mix of logistic, political and social capabilities to be properly implemented. In order to optimally take advantage from both the available sources of information and the mathematical knowledge of the disease dynamics, we will develop and integrate a geo-referenced simulation platform, termed CV19GM, to estimate the impact of COVID-19 in a multidimensional manner. In a first approach, our CV19GM platform focuses on the evolving dynamics of infection, based on information about the geographical location and local mobility as well as the travel of individuals between different areas. From here, we will study the impact on the emergence of outbreaks and in the persistence and lethality of the disease considering modifications on the global mobility driven by government measures such as lockdowns, checkpoints, and of personal measures such as social distancing and the use of masks. In a second stage, we will extend our model, integrating variables affecting the disease dynamics such as hospitalization capacity, logistics, population and socio-economic factors. By relying on this platform, we will study the multidimensional impact of both the COVID-19 pandemic as well as different mitigation strategies.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010196
Entities
People
- Tomas Perez-Acle
Organizations
- Air Force Office of Scientific Research
- United States Air Force