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开发和验证 64 个温带和热带国家的流感预测。

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

机构信息

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, United States of America.

出版信息

PLoS Comput Biol. 2019 Feb 27;15(2):e1006742. doi: 10.1371/journal.pcbi.1006742. eCollection 2019 Feb.

Abstract

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.

摘要

准确的流感发病率预测可以为医疗和公共卫生决策以及应对工作提供信息。然而,在大多数国家,预测系统并不常见,只有少数几个国家例外。在这里,我们使用世界卫生组织提供的公开数据,为包括 18 个热带和亚热带国家在内的 64 个国家生成了流感高峰期时间和高峰期强度的回溯预测。我们发现,温带地区的国家可以生成准确且校准良好的预测,在预测的流行高峰期前四周和两周,高峰期时间和强度的准确性分别超过 50%。对于高峰期时间和强度,热带和亚热带地区的预测准确性要低得多。这项工作表明,在世界各地的温带地区,可以在足够的提前期内生成预测,为即将到来的疫情高峰期做好准备。

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