A cohort data-based perspective on ecological aspects predicaments in human health

Y. Pimpale, Sachin Gupta
{"title":"A cohort data-based perspective on ecological aspects predicaments in human health","authors":"Y. Pimpale, Sachin Gupta","doi":"10.1080/10807039.2022.2146574","DOIUrl":null,"url":null,"abstract":"Abstract The ecological aspects such as environmental factors, socioeconomic constraints and demographic parameters are one of the key aspects to examine the health benefits of human subject and used as ready reference in eco system modeling. Presently, there are various kinds of deadly diseases and disorders who are liable for affecting the human health and impacting the eco framework of whole world. The virus such as Corona, Swine Flu, omicron and others are one of the best examples for the research community to understand the vulnerability of human health in relation to these unpredictable causes. As per report of world health organization every year, more than 10 million people are affected by such ecological and environmental disbalance. The burden of ecological aspects apparently affecting the working of various organs in human subject. There is a need to understand this ecological model in relation to health of human subjects. In this study, a cohort-based data set of ecological pollutants and physiological signals such as ECG and anthropogenic data of human subjects were extracted from Maharashtra from 2015 to 2021. As per neural network-based hazard ratio was calculated and observed to be deplorable among unhealthy and health categories of human subjects. It has been concluded that the accumulative eco system is responsible for overburden to organs of living beings and policy makers must focus on the facts of study for modern management framework designs.","PeriodicalId":13141,"journal":{"name":"Human and Ecological Risk Assessment: An International Journal","volume":"4 1","pages":"144 - 156"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human and Ecological Risk Assessment: An International Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10807039.2022.2146574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract The ecological aspects such as environmental factors, socioeconomic constraints and demographic parameters are one of the key aspects to examine the health benefits of human subject and used as ready reference in eco system modeling. Presently, there are various kinds of deadly diseases and disorders who are liable for affecting the human health and impacting the eco framework of whole world. The virus such as Corona, Swine Flu, omicron and others are one of the best examples for the research community to understand the vulnerability of human health in relation to these unpredictable causes. As per report of world health organization every year, more than 10 million people are affected by such ecological and environmental disbalance. The burden of ecological aspects apparently affecting the working of various organs in human subject. There is a need to understand this ecological model in relation to health of human subjects. In this study, a cohort-based data set of ecological pollutants and physiological signals such as ECG and anthropogenic data of human subjects were extracted from Maharashtra from 2015 to 2021. As per neural network-based hazard ratio was calculated and observed to be deplorable among unhealthy and health categories of human subjects. It has been concluded that the accumulative eco system is responsible for overburden to organs of living beings and policy makers must focus on the facts of study for modern management framework designs.
基于队列数据的人类健康生态困境视角
环境因素、社会经济约束和人口统计学参数等生态因素是研究人类健康效益的关键因素之一,也是生态系统建模的现成参考。目前,各种致命的疾病和失调影响着人类的健康,影响着整个世界的生态框架。冠状病毒、猪流感、基因组病毒等病毒是研究界了解人类健康在这些不可预测原因面前的脆弱性的最好例子之一。根据世界卫生组织的报告,每年有超过1000万人受到这种生态和环境失衡的影响。生态方面的负担明显影响人体各器官的工作。有必要了解这个生态模型与人类健康的关系。本研究提取了马哈拉施特拉邦2015年至2021年人类受试者的生态污染物和生理信号(如ECG和人为数据)数据集。根据基于神经网络的风险比计算和观察,在不健康和健康类别的人类受试者中,风险比是可悲的。累积生态系统是造成生物器官超载的主要原因,决策者在设计现代管理框架时必须注重研究事实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信