Analyzing and improving tools for supporting fighting against COVID-19 based on prediction models and contact tracing

被引：2
作者：
Gruda, Martyna [1 ]
Kedziora, Michel [1 ]
机构：
[1] Wroclaw Univ Sci & Technol, Ul Wybrzeze Stanislawa Wyspianskiego 27, PL-50370 Wroclaw, Poland
来源：
BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES | 2021年 / 69卷 / 04期
关键词：
COVID-19; prediction models; contact tracing; AI;
D O I：
10.24425/bpasts.2021.137414
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the paper, we are analyzing and proposing an improvement to current tools and solutions for supporting fighting with COVID-19. We analyzed the most popular anti-covid tools and COVID prediction models. We addressed issues of secure data collection, prediction accuracy based on COVID models. What is most important, we proposed a solution for improving the prediction and contract tracing element in these applications. The proof of concept solution to support the fight against a global pandemic is presented, and the future possibilities for its development are discussed.
引用
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页数：10
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