Based on the time series model and decision tree model, whether wildlife trade should be banned for a long time summary
DOI:
https://doi.org/10.54097/ehss.v11i.7688Keywords:
wildlife trade, infectious diseases, time series model, random forest, decision tree model.Abstract
This article aims to study the main objects, objectives and trade trends of wildlife trade in recent years, as wildlife markets have been identified as the initiators of the outbreak and spread of the new coronavirus in 2020, and to collect and analyze the long-standing ban on wildlife trade. The data is graphed for visual analysis, and the Pearson correlation analysis method is used to analyze the relationship between wildlife trade and major infectious disease outbreak, social and economic impact indicators, and summarize the econom ic and social impact of this long-term ban. Then, the mathematical model we fit, combined with the current situation of the new crown epidemic, to provide effective, forward-looking, sustainable views and policy recommendations.
Downloads
References
Garry RF. The evidence remains clear: SARS-CoV-2 emerged via the wildlife trade. Proc Natl Acad Sci U S A. 2022 Nov 22;119(47): e2214427119. doi: 10.1073/pnas.2214427119. Epub 2022 Nov 10.
Dilys Roe, Amy Dickman, Richard Kock, E.J. Milner-Gulland, Elizabeth Rihoy, Michael ’t Sas-Rolfes. Beyond banning wildlife trade: COVID-19, conservation and development, World Development, Volume 136,2020,105121.
Zhang, WF (Zhang Weifeng). Statistical Analysis of Spearman's Simple Correlation Coefficient and Gini Gamma Correlation Coefficient.2020
Li, HL (Li Hailin); Zhang,LP(Zhang Liping). A survey of clustering research in time series data mining.2022
Su, Y (Su Yun). A Survey of Time Series Classification Methods Based on Deep Learning.2022
Cheng, SC (Cheng Shaochi); You,GR (You Guangrong).Research on evaluation index reduction method based on improved random forest algorithm.2022
Lian, KQ (Lian Keqiang). Research and Analysis of Integration Tree Algorithm Based on Boosting.2018
Stadler K, Masignani V, Eickmann M, Becker S, Abrignani S, Klenk HD, Rappuoli R. SARS beginning to understand a new virus. Nat Rev Microbiol. 2003 Dec.
Humane Society International. (2020). WildlifeMarkets and COVID-19. Washington, D.C.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
