Model diagnostics and forecast evaluation are closely related tasks, with the former
concerning in-sample goodness (or lack) of fit and the latter addressing predictive …

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United
States have served as a visible and important communication channel between the scientific …

The COVID-19 pandemic has brought about valuable insights regarding models, data, and
experiments. In this narrative review, we summarised the existing literature on these three …

Background: Short-term forecasts of infectious disease burden can contribute to situational
awareness and aid capacity planning. Based on best practice in other fields and recent …

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United
States have served as a visible and important communication channel between the scientific …

The COVID-19 pandemic has made it clear that epidemic models play an important role in
how governments and the public respond to infectious disease crises. Early in the …

Based on high quality surgery and scientific data, scientists and surgeons are committed to
protecting patients as well as healthcare staff and hereby provide this Guidance to address …

Real-time surveillance is a crucial element in the response to infectious disease outbreaks.
However, the interpretation of incidence data is often hampered by delays occurring at …

Background Forecasting healthcare demand is essential in epidemic settings, both to inform
situational awareness and facilitate resource planning. Ideally, forecasts should be robust …

Emerging infectious diseases and climate change are two of the major challenges in 21st
century. Although over the past decades, highly-resolved mathematical models have …