Forecasting influenza activity using machine-learned mobility map

Human mobility is a primary driver of infectious disease spread. However, existing data is limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease dynamics are crucial for decision-making by health officials and private citizens alike. In this work, we focus...

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Detalles Bibliográficos
Autores principales: Venkatramanan, Srinivasan, Sadilek, Adam, Fadikar, Arindam, Barrett, Christopher L., Biggerstaff, Matthew, Chen, Jiangzhuo, Dotiwalla, Xerxes, Eastham, Paul, Gipson, Bryant, Higdon, Dave, Kucuktunc, Onur, Lieber, Allison, Lewis, Bryan L., Reynolds, Zane, Vullikanti, Anil K., Wang, Lijing, Marathe, Madhav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873234/
https://www.ncbi.nlm.nih.gov/pubmed/33563980
http://dx.doi.org/10.1038/s41467-021-21018-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873234/
https://www.ncbi.nlm.nih.gov/pubmed/33563980
http://dx.doi.org/10.1038/s41467-021-21018-5

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