Volume 17 Number 5 (Sep. 2022)
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JSW 2022 Vol.17(5): 182-191 ISSN: 1796-217X
doi: 10.17706/jsw.17.5.182-191

Design and Implementation of Logistics Model 2019-NCOV Epidemic Development Simulation System in the Context of Big Data

Dong-Xu Liu1*,Feng Qin1,2, Wan-ShengWang1, Xiu-Ru Li1, Lu-Lu Zhang1, Lin Jiang1,Ying-Ming Wang1, Dan-Dan Zuo1,Yi-Ran Zheng1
1Tencent Cloud Big Data Institute, Ma 'AnshanUniversity,Ma 'anshan city, China
2School of Computer science, Anhui University of Technology, China.


Abstract—The outbreak of COVID-19 in December 2019 sent tens of thousands of people into panic; For sudden outbreak, due to the variability and immune virus, in view of the research and development will be to contain virus vaccine, so the country should not only possess strong vaccine research and development team and scientific research ability, and more need a kind of epidemic development simulation platform, the simulationof the real effective epidemic trends, provide high quality data for prevention and research department reference value; In this paper, the minimum deviation is sought through Logistics prediction model to improve the reliability and authenticity of epidemic simulation and prediction data. Real-time communication is completed by combining big data technology Spark training model and Kafka, and the simple and intuitive H5 realistic visual interface is adopted.

Index Terms—Logistics model. 2019-NCOV epidemic, simulation system, big data

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Cite: Dong-Xu Liu, Feng Qin, Wan-Sheng Wang, Xiu-Ru Li, Lu-Lu Zhang, Lin Jiang, Ying-Ming Wang, Dan-Dan Zuo, Yi-Ran Zheng, "Design and Implementation of Logistics Model 2019-NCOV Epidemic Development Simulation System in the Context of Big Data," Journal of Software vol. 17, no. 5, pp. 182-191, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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