基于预测模型和接触者追踪，分析和改进支持抗击COVID-19的工具

IF 1.2 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Bulletin of the Polish Academy of Sciences-Technical Sciences Pub Date : 2023-11-06 DOI:10.24425/bpasts.2021.137414

Martyna Gruda, M. Kedziora

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引用次数: 1

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

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. © 2021 The Author(s).

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来源期刊

Bulletin of the Polish Academy of Sciences-Technical Sciences 工程技术-工程：综合

CiteScore

2.80

自引率

16.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Bulletin of the Polish Academy of Sciences: Technical Sciences is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred: Artificial and Computational Intelligence, Biomedical Engineering and Biotechnology, Civil Engineering, Control, Informatics and Robotics, Electronics, Telecommunication and Optoelectronics, Mechanical and Aeronautical Engineering, Thermodynamics, Material Science and Nanotechnology, Power Systems and Power Electronics.