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识别COVID-19感染的循环:土耳其的情况

Yılmaz Akdi1, Yunus Emre Karamanoğlu2, Kamil Demirberk Ünlü3

  • 1Department of Statistics, Faculty of Science, Ankara University, Ankara, Turkey.

Journal of applied statistics
|August 2, 2023
PubMed
概括

这项研究分析了土耳其的每日COVID-19病例,确定了周期性模式. 研究结果揭示了新感染的4,5和62天周期,为流行病周期提供了洞察力.

关键词:
C2222 这是一个很好的例子.冠状病毒 冠状病毒这就是Covid-19的原因.土耳其 土耳其 土耳其 土耳其 土耳其 土耳其 土耳其 土耳其 土耳其调回归是一种调回归.周期性的周期性.

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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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