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Accurate forecast of flu activity enables health officials to prepare disease prevention and allocate treatment resources. A promising forecasting approach is always to adjust the well-established endemic-epidemic modeling framework to time series of infectious disease proportions. Utilizing U.S. influenza-like infection surveillance information over 18 months, we evaluated probabilistic forecasts for this brand-new beta autoregressive model with proper scoring principl