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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/61735942d474410586d4d07cb189dab4
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