Established in September 2017, this working group aims to advance our capacity to forecast infectious disease dynamics by developing a forecasting architecture written in the programming language R and disseminating stress-tested R packages to CEID members and the greater scientific community. By forecasting a variety of diseases with generic time series models and comparing these to CDC models, the group seeks to provide researchers with modeling frameworks needed to efficiently and effectively forecast infectious diseases, eventually in real time. To assess the robustness of modeling products developed, the working group holds internal competitions assessing model skill with different diseases.
For information on joining this working group, or partnering for a specific or envisioned project, please contact us at firstname.lastname@example.org
Working Group Members:
Andrew Tredennick, Chair