Risk analysis and assessment method for infectious diseases based on information entropy theory

被引:1
|
作者
Gao, Tilei [1 ,2 ]
Li, Tiebing [1 ]
Xu, Peng [1 ]
机构
[1] Yunnan Univ Finance & Econ, Kunming 650221, Peoples R China
[2] Yunnan Key Lab Serv Comp, Kunming 650221, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金
中国国家自然科学基金;
关键词
Environment factors and infectious disease risk; Risk assessment; Information entropy; Risk weight number; INFLUENZA;
D O I
10.1038/s41598-024-67783-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Infectious diseases risk is directly related to human life safety. After the COVID-19 pandemic, people have paid unprecedented attention to the risk of infectious diseases. Compared with treatment after the outbreak of the epidemic, identifying the influencing factors of infectious disease risk and quantitatively analyzing and assessing infectious disease risk before the outbreak of the epidemic plays an equally important role. This article focuses on the risk of irregular outbreaks of infectious diseases. On the one hand, a method based on information gain is proposed to calculate the weight of environmental factors directly related to infectious disease risk, to clarify the correlation between environmental factors and infectious disease risk. On the other hand, the risk calculation method based on risk weight number is proposed to calculate the risk level of different infectious diseases under the influence of specific environmental factors. Finally, the effectiveness and feasibility of the proposed method are verified through case analysis and discussion. By comparing it with other risk assessment methods, the advantages and disadvantages of the proposed method are demonstrated.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Review of risk assessment methods for infectious diseases
    Han, Xinxing
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING (ICAESEE 2019), 2020, 446
  • [22] A dynamic risk assessment method for ship conflict based on imperfect information game theory
    Zhao, Jie
    Zeng, Shengkui
    Guo, Jianbin
    Che, Haiyang
    OCEAN ENGINEERING, 2024, 309
  • [23] Study on the regional risk classification method for the prevention and control of emerging infectious diseases based on directed graph theory
    Liu, Yong
    Wang, Xiao
    Zhang, Chongqi
    FRONTIERS IN PUBLIC HEALTH, 2023, 11
  • [24] Risk Assessment Based on Information Entropy of Cascading Failure in Power Systems
    Jia, Youwei
    Xu, Zhao
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [25] Regional Infectious Disease Risk Analysis and Management Method Based on D-S Theory
    Gao, Tilei
    Yang, Ming
    Jiang, Rong
    Zhang, Tao
    COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2, 2025, 173 : 178 - 193
  • [26] An Information Security Evaluation Method Based on Entropy Theory and Improved TOPSIS
    Wang, Dongqing
    Lu, Yueming
    Gan, Jiefu
    2017 IEEE SECOND INTERNATIONAL CONFERENCE ON DATA SCIENCE IN CYBERSPACE (DSC), 2017, : 595 - 600
  • [27] Risk Assessment of Cascading Failures Based on Entropy Weight Method
    Qi, Hanbo
    Shi, Libao
    Sun, Qiming
    Yao, Liangzhong
    2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [28] An Information System Risk Assessment Method Based on Risk Propagation
    Yang H.-Y.
    Zhang L.
    Zhang L.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2021, 44 (04): : 41 - 48
  • [29] The Measurement and Analysis of Software Engineering Risk Based on Information Entropy
    Yang, Ming
    Liao, Hongzhi
    Jiang, Rong
    Liu, Junhui
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND ENGINEERING APPLICATION, ICSCTEA 2013, 2014, 250 : 419 - 425
  • [30] INFECTIOUS DISEASES RISK ASSESSMENT PRIOR TO IMMUNOMODULATION THERAPY - EXPERIENCE FROM AN INFECTIOUS DISEASES UNIT
    Leal, E.
    Pinheiro, H.
    Betkova, S.
    Povoas, D.
    Estriga, A. R.
    Simoes, P.
    Garrote, A. R.
    Seixas, D.
    Ramirez, F.
    Manata, M. J.
    Maltez, F.
    ANNALS OF THE RHEUMATIC DISEASES, 2020, 79 : 814 - 814