CitySEIRCast: an agent-based city digital twin for pandemic analysis and simulation
Abstract The COVID-19 pandemic has dramatically highlighted the importance of developing simulation systems for quickly characterizing and providing spatio-temporal forecasts of infection spread dynamics that take specific accounts of the population and spatial heterogeneities that govern pathogen t...
Saved in:
Main Authors: | Shakir Bilal, Wajdi Zaatour, Yilian Alonso Otano, Arindam Saha, Ken Newcomb, Soo Kim, Jun Kim, Raveena Ginjala, Derek Groen, Edwin Michael |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2024-12-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01683-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases
by: Néstor DelaPaz-Ruíz, et al.
Published: (2025-02-01) -
An approach to dynamic visualization of heterogeneous geospatial vector images
by: A.V. Vorobev, et al.
Published: (2024-02-01) -
The economy of digital contact in the conditions of geomarkets transformation
by: T. M. Rogulenko, et al.
Published: (2023-12-01) -
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction
by: Yanwen Wang, et al.
Published: (2025-12-01) -
USING MULTIPLE LINEAR REGRESSIONS TO DERIVE CROPLAND AND PASTURE PROPORTION MAPS IN ROMANIA
by: DIANA DOGARU, et al.
Published: (2015-12-01)