학술논문
Forecasting influenza activity using machine-learned mobility map
Document Type
article
Author
Source
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Subject
Language
English
ISSN
2041-1723
Abstract
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 spatial scales.