Forecasting influenza activity using machine-learned mobility map
Srinivasan Venkatramanan(Biocom), Madhav Marathe(Virginia Tech), P. R. Eastham(Google (United States)), Zane Reynolds(Torc Robotics (United States)), Allison Lieber(Google (United States)), Anil Vullikanti(Virginia Tech), Arindam Fadikar(Argonne National Laboratory), Matthew Biggerstaff(Centers for Disease Control and Prevention), Bryant Gipson(Google (United States)), Jiangzhuo Chen(Biocom), Xerxes Dotiwalla(Google (United States)), Bryan Lewis(Biocom), Adam Sadilek(Google (United States)), Onur Küçüktunç(Google (United States)), Lijing Wang(Boston Children's Hospital), Christopher L. Barrett(Cornell University), Dave Higdon(Virginia Tech)
Cited by 82
Related Papers
H1N1 2009 influenza virus infection during pregnancy in the USA
|The Lancet|2009|1.4k
Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”
|Bulletin of Mathematical Biology|2020|946
Mobile Data Offloading through Opportunistic Communications and Social Participation
|IEEE Transactions on Mobile Computing|2011|496
Cellular traffic offloading through opportunistic communications
|Unknown|2010|257
EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks
|IEEE International Conference on High Performance Computing, Data, and Analytics|2008|232