Identifying critical driving factors for human brucellosis in Inner Mongolia, China

布鲁氏菌病 环境卫生 布鲁氏菌 传输(电信) 地理 环境科学 医学 兽医学 计算机科学 电信
作者
Zhenzhen Zhang,Xia Ma,Yongxin Zhang,Gui‐Quan Sun,Zi-Ke Zhang
出处
期刊:Physica D: Nonlinear Phenomena [Elsevier BV]
卷期号:626: 129073-129073 被引量:3
标识
DOI:10.1016/j.physa.2023.129073
摘要

At present, the prevention and control situation of human and animal brucellosis in China is grim and complex. Given the current epidemic situation, prevention and control difficulties, and actual needs of brucellosis, investigating the key environmental factors of human brucellosis is helpful for the effective prevention and control of the disease. The research aims are to understand what factors are driving the changes in human brucellosis. We establish a compartmental model to explain the periodic transmission dynamics of brucellosis, then evaluate the effective reproduction number, and quantify the brucella in the environment of Inner Mongolia from January 2016 to December 2020. The step-wise regression is used to determine the possible factors that are significantly correlated with the incidence of human brucellosis and brucella-contaminated environment, meteorological factors. Machine learning methods random forest and Xgboost are used to capture the relative importance of factors with statistical significance. The results show that multiple driving forces contribute to the transmission of human brucellosis, including the brucella-contaminated environment and meteorological factors. The brucella-contaminated environment accelerates the risk of human brucellosis, and clearly and strongly explains changes in the incidence of human brucellosis in Inner Mongolia. The impact of meteorological factors is indispensable, especially those with time delay. There is a significant correlation between precipitation, relative humidity, atmospheric pressure, and human brucellosis in Inner Mongolia. The proposed models aid surveillance and the early control of human brucellosis outbreaks.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
云杉木发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
乒坛巨人发布了新的文献求助10
2秒前
逆流沙完成签到,获得积分10
2秒前
2秒前
2秒前
2秒前
2秒前
2秒前
2秒前
2秒前
seeya发布了新的文献求助10
3秒前
excellent发布了新的文献求助10
3秒前
3秒前
site001发布了新的文献求助50
4秒前
4秒前
4秒前
5秒前
Akim应助科研通管家采纳,获得10
5秒前
动听千山发布了新的文献求助10
5秒前
wanci应助科研通管家采纳,获得10
5秒前
123发布了新的文献求助10
5秒前
5秒前
5秒前
5秒前
cdercder应助科研通管家采纳,获得28
5秒前
周争颖发布了新的文献求助10
5秒前
5秒前
完美世界应助科研通管家采纳,获得10
5秒前
无极微光应助科研通管家采纳,获得20
6秒前
初景应助科研通管家采纳,获得20
6秒前
123发布了新的文献求助10
6秒前
英姑应助科研通管家采纳,获得10
6秒前
星辰大海应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
ddsgsd发布了新的文献求助10
6秒前
致阿嘎发布了新的文献求助10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
Resiliency Scale for Adolescents--Chinese Version 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7328055
求助须知:如何正确求助?哪些是违规求助? 8942938
关于积分的说明 18967921
捐赠科研通 6983945
什么是DOI,文献DOI怎么找? 3216245
关于科研通互助平台的介绍 2382999
邀请新用户注册赠送积分活动 2195681