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Updated: Feb 13, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
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一个多区域的SEIR模型,包括县际流动性和时间依赖的传播动态:应用于北卡罗来纳州的COVID-19疾病爆发数据

Samuel R Thornton1, Erin C S Acquesta2, Patrick D Finley2

  • 1Department of Mathematics, North Carolina State University, Raleigh, NC, United States.

Bulletin of mathematical biology
|February 12, 2026
PubMed
概括

这项研究引入了一种新的多区域易感-暴露-感染-康复 (SEIR) 模型,用于分析传染病传播,结合空间因素和流动性. 该模型准确地预测了北卡罗来纳州各县的COVID-19动态,为未来的疫情管理提供了洞察力.

关键词:
在COVID-19模型模型中.县级数据 县级数据传染病的传播传染病的传播空间流动性 空间流动性

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