Spatiotemporal tracing of pandemic spread from infection data
Abstract COVID-19, a global pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 virus, has claimed millions of lives worldwide. Amid soaring contagion due to newer strains of the virus, it is imperative to design dynamic, spatiotemporal models to contain the spread of infection du...
Saved in:
Main Authors: | Satyaki Roy, Preetom Biswas, Preetam Ghosh |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/2bdc85663e6a40b5b67ece41f7ab6048 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatiotemporal contact density explains the disparity of COVID-19 spread in urban neighborhoods
by: Rajat Verma, et al.
Published: (2021) -
Heterogeneous interventions reduce the spread of COVID-19 in simulations on real mobility data
by: Haotian Wang, et al.
Published: (2021) -
Effects of social distancing on the spreading of COVID-19 inferred from mobile phone data
by: Hamid Khataee, et al.
Published: (2021) -
Dynamics based on analysis of public data for spreading of disease
by: Leonardo S. Lima
Published: (2021) -
Revealing fine-scale spatiotemporal differences in SARS-CoV-2 introduction and spread
by: Gage K. Moreno, et al.
Published: (2020)