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Research on Opioid drugs based on Entropy weight method

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DOI: 10.23977/phpm.2022.020111 | Downloads: 6 | Views: 714

Author(s)

Hengtian Yang 1

Affiliation(s)

1 China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China

Corresponding Author

Hengtian Yang

ABSTRACT

In this paper, we formulate multiple models to account for and predict the spread and characteristics of opioids, which considers socio-economic factors in the United States as well. We preprocess the data provided, including outlier processing and data class configuration. First, we draw the regional scatter distribution map according to the longitude and latitude of each state, and observe the characteristics of events reported between States and counties over time. Then we use the entropy method to determine the weight of each county in each state. We use SI Epidemic Model to draw the conclusion that when Drug Reports reaches 63% of Total Drug Reports State, the region begins to use specific opioids, and predicted that drug use in the Philadelphia region of PA State will first reach the threshold level in 2019.

KEYWORDS

Opioids, Addiction, Entropy weight method

CITE THIS PAPER

Hengtian Yang, Research on Opioid drugs based on Entropy weight method. MEDS Public Health and Preventive Medicine (2022) Vol. 2: 56-60. DOI: http://dx.doi.org/10.23977/phpm.2022.020111.

REFERENCES

[1] Ni Ning, Zhang Shaoquan, Chen Xiaoyun, Zhang Xiaoyu. Audit risk Assessment based on Entropy weight method and Fuzzy Analytic Hierarchy Process [J]. Software, 2018, 39 (10): 254-259. 
[2] Ren Xue. Studies on some problems of three kinds of infectious disease models [D]. Northeast Forestry University, 2018. 
[3] Xu Chonggang, Hu Y uanman, Chang Y u, Jiang Y an, Li Xiuzhen, Burencang, he Hongshi. Sensitivity Analysis of Ecological Model [J]. Journal of Applied Ecology, 2004 (06): 1056-1062. 
[4] Qiao Jia-jun. Application of improved Entropy method in Evaluation of Sustainable Development ability in Henan Province [J]. Resource Science, 2004 (01): 113-119. 
[5] Ding Guoqing, Ji Tongyuan, Xu Liang, Qin Negen. Research on Technical State of High pile Wharf based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation method [J]. Hong Kong Technology, 2018 55 (06): 100-103.

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