Modeling complements surveillance data to inform coronavirus disease 2019 (COVID-19)
public health decision making and policy development. This includes the use of modeling to …

Conducting real-world public health experiments is often costly, time-consuming, and
ethically challenging, so mathematical models have a long-standing history of being used to …

Infectious disease forecasting is gaining traction in the public health community; however,
limited systematic comparisons of model performance exist. Here we present the results of a …

New Pandemics, Old Politics explores how the modern world adopted a martial script to deal
with epidemic disease threats, and how this has failed–repeatedly. Europe first declared …

The current COVID-19 pandemic has resulted in the unprecedented development and
integration of infectious disease dynamic transmission models into policy making and public …

Decision makers are responsible for directing staffing, logistics, selecting public health
interventions, communicating to professionals and the public, planning future response …

Forecasting is beginning to be integrated into decision-making processes for infectious
disease outbreak response. We discuss how technologies could accelerate the adoption of …

Deterministic and stochastic methods relying on early case incidence data for forecasting
epidemic outbreaks have received increasing attention during the last few years. In …

Abstract Background The 2014/15 Ebola outbreak in West Africa resulted in 11,000 deaths
and massive strain on local health systems, and the ongoing outbreak in Democratic …

This paper reflects critically on the transformational impacts the recent Ebola epidemic has
had in diamond-rich areas of rural Sierra Leone. It focuses specifically on the country's …