寻找COVID-19下的旅行比例

IF 1.1 Q4 BIOPHYSICS
Yong Zhou, Yiming Ding
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引用次数: 0

摘要

旅行限制已成为一项重要的防疫措施,但相关的定量研究很少。本文将出行比例引入到四室模型中,量化了COVID-19在武汉的传播。研究发现,降低出行比例可以降低感染高峰,延缓感染高峰时间。当行程比例小于35%时,可防止传播。该方法可供其他地方参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding travel proportion under COVID-19
Travel restrictions have become an important epidemic preventive measure, but there are few relevant quantitative studies. In this paper, travel proportion is introduced into a four-compartment model to quantify the spread of COVID-19 in Wuhan. It is found that decreasing the travel proportion can reduce the peak of infections and delay the peak time. When the travel proportion is less than 35%, transmission can be prevented. This method provides reference for other places.
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来源期刊
AIMS Biophysics
AIMS Biophysics BIOPHYSICS-
CiteScore
2.40
自引率
20.00%
发文量
16
审稿时长
8 weeks
期刊介绍: AIMS Biophysics is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in the field of biophysics. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports. AIMS Biophysics welcomes, but not limited to, the papers from the following topics: · Structural biology · Biophysical technology · Bioenergetics · Membrane biophysics · Cellular Biophysics · Electrophysiology · Neuro-Biophysics · Biomechanics · Systems biology
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