2 papers
cs.LG2024
Forecasting infectious disease prevalence with associated uncertainty using neural networks
Michael Morris
Infectious diseases pose significant human and economic burdens. Accurately forecasting disease incidence can enable public health agencies to respond effectively to existing or em…
cs.LG2021
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity
Michael Morris, Peter Hayes, Ingemar J. Cox +1
Influenza is an infectious disease with the potential to become a pandemic, and hence, forecasting its prevalence is an important undertaking for planning an effective response. Re…