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

被引：2

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

页数：16

共 51 条

[1] Big Data Classification in IOT Healthcare Application Using Optimal Deep Learning [J].

Akhtar, Md Mobin ;

Ahamad, Danish ;

Shatat, Abdallah Saleh Ali ;

Shatat, Ahmad Saleh Ali .

INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING, 2023, 17 (01) :33-58

[2] Application and Challenges of IoT Healthcare System in COVID-19 [J].

Al-Atawi, Abdullah A. ;

Khan, Faheem ;

Kim, Cheong Ghil .

SENSORS, 2022, 22 (19)

[3] Application of Internet of Things and Sensors in Healthcare [J].

Al-Kahtani, Mohammad S. ;

Khan, Faheem ;

Taekeun, Whangbo .

SENSORS, 2022, 22 (15)

[4] Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges [J].

Alahmadi, Amani ;

Belet, Sarah ;

Black, Andrew ;

Cromer, Deborah ;

Flegg, Jennifer A. ;

House, Thomas ;

Jayasundara, Pavithra ;

Keith, Jonathan M. ;

McCaw, James M. ;

Moss, Robert ;

Ross, Joshua, V ;

Shearer, Freya M. ;

Tun, Sai Thein Than ;

Walker, Camelia R. ;

White, Lisa ;

Whyte, Jason M. ;

Yan, Ada W. C. ;

Zarebski, Alexander E. .

EPIDEMICS, 2020, 32

[5] Advantages for risk assessment: Evaluating learnings from question sets inspired by the FRAM and the risk matrix in a manufacturing environment [J].

Albery, Simon ;

Borys, David ;

Tepe, Susanne .

SAFETY SCIENCE, 2016, 89 :180-189

[6] A review of avian influenza in different bird species [J].

Alexander, DJ .

VETERINARY MICROBIOLOGY, 2000, 74 (1-2) :3-13

[7]

Aven T., 2015, Risk analysis, DOI [10.1002/9781119057819, DOI 10.1002/9781119057819]

[8]

Bowles J. B., 2004, Journal of the IEST, V47, P51

[9]

[陈端兵 Chen Duanbing], 2020, [电子科技大学学报, Journal of University of Electronic Science and Technology of China], V49, P339

[10] Risk assessment of chemical process considering dynamic probability of near misses based on Bayesian theory and event tree analysis [J].

Chen, Fanghao ;

Wang, Cangtian ;

Wang, Jinghong ;

Zhi, Youran ;

Wang, Zhirong .

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2020, 68

← 1 2 3 4 5 6 →