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对SARS-CoV-2传播的快速反应建模

Jon Zelner1,2, Marisa Eisenberg1,3,4

  • 1Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.

Science (New York, N.Y.)
|May 5, 2022
PubMed
概括

模拟者可以从过去的流行病中吸取教训, 以提高未来疫情的准备. 分析历史数据有助于制定更有效的流行病应对策略和预测模型.

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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