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...
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Autores principales: | Sashikumaar Ganesan, Deepak Subramani |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/61735942d474410586d4d07cb189dab4 |
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