An interpretable time series machine learning method for varying forecast and nowcast lengths in wastewater-based epidemiology
Description
Wastewater-based epidemiology has emerged as a viable tool for monitoring disease prevalence in a population. This paper details a time series machine learning (TSML) method for predicting COVID-19 cases from wastewater and environmental variables
