预测长期COVID的策略在美国军事积极组成部分的美国军方
Mark L Bova1,2, Tara N Palmore3, Guoqing Diao4
1Integrated Biosurveillance Branch, Armed Forces Health Surveillance Division, Silver Spring, MD.
MSMR
|January 8, 2026
概括
预测模型可以准确地预测长期COVID (后急性冠状病毒疾病综合征) 诊断,提前六个月. 这使得军事领导人能够为这种情况造成的准备中断做好准备.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 长期COVID (后急性冠状病毒疾病综合征) 对军事准备构成重大威胁.
- 关于长期COVID发病率的预测性研究很少,这阻碍了准备工作.
- 了解未来的长期COVID趋势对于军事领导人来说至关重要,以管理部队健康和可用性.
研究的目的:
- 开发和验证长期COVID诊断的预测模型.
- 为了预测长期COVID的发病率,提前六个月.
- 通过预测长期COVID负担来告知军事准备计划.
主要方法:
- 利用历史COVID-19和长COVID诊断训练的时间序列和机器学习模型.
- 纳入人口统计和门诊接触数据作为共变量.
- 使用从2020年1月到2022年12月的数据,生成1至6个月前期和整个6个月的预测.
主要成果:
- 预测模型表现出高准确度,预测长期COVID诊断的时间可以提前六个月.
- 几个模型组合在6个月的时间内实现了5%的观察诊断的预测.
- 最好的模型的月度预测中位数绝对百分比误差在3%至10%之间.
结论:
- 使用现有临床数据的简单预测模型可以准确预测长期COVID发病率,提前六个月.
- 这些预测使我们能够积极准备长期COVID对军事准备的影响.
- 准确的长期COVID病例预测支持健康和可用的军事力量的战略规划.
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