Forecasting virus outbreaks with social media data via neural ordinary differential equations

In the midst of the covid-19 pandemic, social media data collected in real time has the potential of being an early indicator of a new epidemic wave. This possibility is explored here by using a neural ordinary differential equation (neural ODE) that is trained to predict virus outbreaks for a geogr...

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Detalles Bibliográficos
Autores principales: Núñez, Matías, Barreiro, Nadia L., Barrio, Rafael A., Rackauckas, Christopher
Formato: Articulo article acceptedVersion
Lenguaje:Inglés
Publicado: medRxiv 2021
Materias:
Redes sociales
Datos recopilados
Ecuación diferencial ordinaria neural
Brotes de virus
COVID-19
Ciencias Biomédicas
Acceso en línea:http://rdi.uncoma.edu.ar/handle/uncomaid/16169
https://www.medrxiv.org/content/10.1101/2021.01.27.21250642v1
Aporte de:
Repositorio Institucional UNCo de Universidad Nacional del Comahue

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