An infodemiological framework for tracking the spread of SARS-CoV-2 using integrated public data

The outbreak of the SARS-CoV-2 novel coronavirus has caused a health crisis of immeasurable magnitude. Signals from heterogeneous public data sources could serve as early predictors for infection waves of the pandemic, particularly in its early phases, when infection data was scarce. In this article...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Zhimin, Jiang, Zuodong, Kip, Geoffrey, Snigdha, Kirti, Xu, Jennings, Wu, Xiaoying, Khan, Najat, Schultz, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040481/
https://www.ncbi.nlm.nih.gov/pubmed/35496673
http://dx.doi.org/10.1016/j.patrec.2022.04.030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040481/
https://www.ncbi.nlm.nih.gov/pubmed/35496673
http://dx.doi.org/10.1016/j.patrec.2022.04.030

Ejemplares similares