Forecasting elections with a model of infectious diseases

(Society for Industrial and Applied Mathematics) Election forecasting is an innately challenging endeavor, with results that can be difficult to interpret and may leave many questions unanswered after close races unfold. In a paper publishing in SIAM Review, researchers borrowed ideas from epidemiology to develop a new method for forecasting elections. The team hoped the multidisciplinary nature of their infectious disease model could expand the community that engages with polling data and raise...