A wide range of research has promised new tools for forecasting infectious disease
dynamics, but little of that research is currently being applied in practice, because tools do …

Modelling the effects of environmental change on populations is a key challenge for
ecologists, particularly as the pace of change increases. Currently, modelling efforts are …

Regression analyses are central to characterization of the form and strength of natural
selection in nature. Two common analyses that are currently used to characterize selection …

Dengue hemorrhagic fever (DHF), a severe manifestation of dengue viral infection that can
cause severe bleeding, organ impairment, and even death, affects between 15,000 and …

Creating statistical models that generate accurate predictions of infectious disease
incidence is a challenging problem whose solution could benefit public health decision …

Epidemics of communicable diseases place a huge burden on public health infrastructures
across the world. Producing accurate and actionable forecasts of infectious disease …

Statistical prediction models inform decision-making processes in many real-world settings.
Prior to using predictions in practice, one must rigorously test and validate candidate models …

Highly transmissible infections with short serial intervals, such as SARS-Cov-2 and
influenza, can quickly overwhelm healthcare resources in institutional settings such as jails …

Background RECIST 1 is commonly used to characterize intermediate outcomes for clinical
trials in the context of solid tumors, and it is largely based on a standardized measure of …

Correction for “An open challenge to advance probabilistic forecasting for dengue
epidemics,” by Michael A. Johansson, Karyn M. Apfeldorf, Scott Dobson, Jason Devita, Anna …