Spatio-temporal predictive modeling framework for infectious disease spread
Abstract A novel predictive modeling framework for the spread of infectious diseases using high-dimensional partial differential equations is developed and implemented. A scalar function representing the infected population is defined on a high-dimensional space and its evolution over all the direct...
Main Authors: | Sashikumaar Ganesan, Deepak Subramani |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-86084-7 |
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