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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Auteurs principaux: Sashikumaar Ganesan, Deepak Subramani
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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R
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Accès en ligne:https://doaj.org/article/61735942d474410586d4d07cb189dab4
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