L. Keegan

Rethinking respiratory disease forecasting: temporal heterogeneity between surveillance predictors and outcomes drives forecast instability

Since the COVID-19 pandemic, forecasting hubs and non-traditional respiratory disease surveillance streams have become increasingly common. However, many forecasting approaches assume that relationships between surveillance predictors and disease outcomes remain stable over time and that incorporating additional histor...