Interest in disease forecasting is growing, stimulated by the continued threat of emerging infections, increased modeling capabilities, and a more porous interface between the modeling community and policy experts who make decisions to roll out interventions (Chretien et al., 2015a). Forecasting competitions are common in the field of meteorology and climate, but have just started to percolate the field of disease modeling. Key examples include the multi-year seasonal flu contest initiated by the US CDC in 2015, the dengue challenge organized by NOAA, and the chikungunya challenge led by DARPA (DARPA, 2015, Biggerstaff et al., 2016; NOAA, 2015). In this special issue, we describe the Ebola forecasting challenge led by the US National Institute of Health in 2015–2016, as part of their Research And Policy in Infectious Disease Dynamics (RAPIDD) program.
Simonsen, L., Viboud, C., Chowell, G., & Vespignani, A. (2018). The RAPIDD Ebola forecasting challenge special issue: Preface. Epidemics, 2018(22), 1-2. https://doi.org/10.1016/j.epidem.2017.10.003, https://doi.org/10.1016/j.epidem.2017.10.003