Forecasting influenza activity using machine-learned mobility map

Forecasting influenza activity using machine-learned mobility map

Human mobility plays a central role in the spread of infectious diseases and can help in forecasting incidence. Here the authors show a comparison of multiple mobility benchmarks in forecasting influenza, and demonstrate the value of a machine-learned mobility map with global coverage at multiple sp...

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Bibliographic Details
Main Authors: Srinivasan Venkatramanan, Adam Sadilek, Arindam Fadikar, Christopher L. Barrett, Matthew Biggerstaff, Jiangzhuo Chen, Xerxes Dotiwalla, Paul Eastham, Bryant Gipson, Dave Higdon, Onur Kucuktunc, Allison Lieber, Bryan L. Lewis, Zane Reynolds, Anil K. Vullikanti, Lijing Wang, Madhav Marathe
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21018-5

Internet

https://doi.org/10.1038/s41467-021-21018-5

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