Emerg Infect Dis. 2024 Sep;30(9):1967-1969. doi: 10.3201/eid3009.240026.
On the basis of historical influenza and COVID-19 forecasts, we found that more than 3 forecast models are needed to ensure robust ensemble accuracy. Additional models can improve ensemble performance, but with diminishing accuracy returns. This understanding will assist with the design of current and future collaborative infectious disease forecasting efforts.
基于历史流感和 COVID-19 的预测,我们发现需要超过 3 个预测模型才能确保稳健的集成准确性。额外的模型可以提高集成性能,但准确性的回报会逐渐减少。这种理解将有助于当前和未来合作传染病预测工作的设计。