Contact analysis on COVID-19 using a campus network: poster abstract
Contact analysis on COVID-19 using a campus network: poster abstract
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使用校园网络对 COVID-19 进行接触分析：海报摘要
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Shuji Sannomiya
中科院分区：
文献类型：
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作者：
K. Yoshida;Akira Sato;Shuji Sannomiya
于二零二零年，COVID-19疫情为我们的社会带来重大问题。虽然接触者追踪是最大限度减少接触的必要对策，但其应用在日本并不广泛。我们开发了一个基于Wi-Fi的接触追踪系统，用于我们的校园网络，以保护学生和工作人员。虽然Wi-Fi技术覆盖的区域太广，无法准确分析接触，但仍然可以用于比较分析。我们进行了初步的实验，作为一个例子，比较对策的效果。我们的研究结果表明，通过使30%的教室安全，我们可以减少90%以上的潜在风险。本文总结了1）在保护学生隐私的同时获取必要信息的系统设计，以及2）比较对策效果的初步实验结果。
In 2020, the COVID-19 pandemic is causing significant problems for our society. Although contact tracing is an essential countermeasure for minimizing exposure, its applications are not widely used in Japan. We have developed a Wi-fi based contact tracing system for use in our campus network to protect students and staff. Although the area covered by Wi-fi technology is too wide to accurately analyze contacts, it can still be used for comparative analysis. We conducted preliminary experiments as an example to compare the effects of countermeasures. Our results show that by making 30% of classrooms safe, we can reduce the number of potential exposures by over 90%. This paper summarizes 1) the system design to acquire necessary information while maintaining the privacy of students, and 2) the results of preliminary experiments that compare the effect of countermeasures.