Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts
Aniruddha Adiga(Biocom), Madhav Marathe(Biocom), Srinivasan Venkatramanan(Biocom), Gursharn Kaur(University of Virginia), Bryan Lewis(Biocom), Benjamin Hurt(Biocom), Lijing Wang(Hebei University of Science and Technology), Przemyslaw Porebski(Biocom)
Cited by 10
Related Papers
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
Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge
|BMC Infectious Diseases|2016|188