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Development and validation of influenza forecasting for 64 temperate and tropical countries

机译:为64个温带和热带国家开发和验证流感预测

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摘要

Accurate forecasts of influenza incidence can be used to inform medical and public health decision-making and response efforts. However, forecasting systems are uncommon in most countries, with a few notable exceptions. Here we use publicly available data from the World Health Organization to generate retrospective forecasts of influenza peak timing and peak intensity for 64 countries, including 18 tropical and subtropical countries. We find that accurate and well-calibrated forecasts can be generated for countries in temperate regions, with peak timing and intensity accuracy exceeding 50% at four and two weeks prior to the predicted epidemic peak, respectively. Forecasts are significantly less accurate in the tropics and subtropics for both peak timing and intensity. This work indicates that, in temperate regions around the world, forecasts can be generated with sufficient lead time to prepare for upcoming outbreak peak incidence.
机译:流感发生率的准确预测可用于为医疗和公共卫生决策和应对工作提供信息。但是,除了少数几个明显的例外,预报系统在大多数国家并不常见。在这里,我们使用来自世界卫生组织的公开数据来对64个国家(包括18个热带和亚热带国家)的流感高峰时间和高峰强度进行回顾性预测。我们发现,对于温带地区的国家,可以生成准确且经过良好校准的预测,在预测的流行高峰之前的四周和两周,高峰时间和强度准确性分别超过50%。热带地区和亚热带地区的峰值时间和强度预报的准确性明显降低。这项工作表明,在全球温带地区,可以以足够的准备时间来生成预测,为即将来临的爆发高峰发生做好准备。

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