Estimation of the Air Emissions of Pollutants Influence on Primary Morbidity Indicator of the Population : Case in Kharkiv Region – Ukraine

{"title":"Estimation of the Air Emissions of Pollutants Influence on Primary Morbidity Indicator of the Population : Case in Kharkiv Region – Ukraine","authors":"","doi":"10.26565/1992-4259-2021-24-05","DOIUrl":null,"url":null,"abstract":"Purpose. To establish structural shifts in the indicators of the primary morbidity of the population, and to determine the relationship between the indicators of emissions of pollutants into the air and the primary morbidity of the population of the Kharkiv region. Methods. We used system approach, statistical methods. Results. The structure and dynamics of the number of newly registered cases of diseases and primary morbidity of the population were considered during the period from 2004 to 2017. A correlation-regression analysis of the relationships between emissions and primary morbidity by disease classes in the Kharkiv region was made, which showed the presence of a moderate correlation between the phenomena. The synthesized regression equations can be used to determine the influence of each individual factor (SO2, CO2, N2O emissions) on the primary morbidity of the population for different classes of diseases. In the structure of primary morbidity of the population of Kharkiv region, the major share is made up of diseases of the respiratory, circulatory and nervous systems - their share increased from 49% in 2004 to 51% in 2017 year. Conclusions. The indicators of primary morbidity by diseases of the genitourinary system, nervous system, circulatory system and congenital malformations were the most sensitive to air pollutions and emission CO2 into the atmosphere. The most negative impact on the values of all classes of primary morbidity in the Kharkiv region have CO2, N2O.","PeriodicalId":40624,"journal":{"name":"Visnyk of V N Karazin Kharkiv National University-Series Geology Geography Ecology","volume":"50 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visnyk of V N Karazin Kharkiv National University-Series Geology Geography Ecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26565/1992-4259-2021-24-05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOLOGY","Score":null,"Total":0}
引用次数: 1

Abstract

Purpose. To establish structural shifts in the indicators of the primary morbidity of the population, and to determine the relationship between the indicators of emissions of pollutants into the air and the primary morbidity of the population of the Kharkiv region. Methods. We used system approach, statistical methods. Results. The structure and dynamics of the number of newly registered cases of diseases and primary morbidity of the population were considered during the period from 2004 to 2017. A correlation-regression analysis of the relationships between emissions and primary morbidity by disease classes in the Kharkiv region was made, which showed the presence of a moderate correlation between the phenomena. The synthesized regression equations can be used to determine the influence of each individual factor (SO2, CO2, N2O emissions) on the primary morbidity of the population for different classes of diseases. In the structure of primary morbidity of the population of Kharkiv region, the major share is made up of diseases of the respiratory, circulatory and nervous systems - their share increased from 49% in 2004 to 51% in 2017 year. Conclusions. The indicators of primary morbidity by diseases of the genitourinary system, nervous system, circulatory system and congenital malformations were the most sensitive to air pollutions and emission CO2 into the atmosphere. The most negative impact on the values of all classes of primary morbidity in the Kharkiv region have CO2, N2O.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
估计空气污染物排放对人口初级发病率指标的影响:乌克兰哈尔科夫地区的案例
目的。建立人口主要发病率指标的结构变化,确定向空气中排放污染物的指标与哈尔科夫地区人口主要发病率之间的关系。采用系统方法、统计学方法。2004年至2017年期间,考虑了人口新登记疾病病例数和原发性发病率的结构和动态。对哈尔科夫地区按疾病类别分列的排放与原发性发病率之间的关系进行了相关回归分析,结果表明,这些现象之间存在适度的相关性。综合回归方程可用于确定每个单独因素(SO2、CO2、N2O排放)对不同类别疾病人群原发性发病率的影响。在哈尔科夫地区人口的原发性发病结构中,主要由呼吸系统、循环系统和神经系统疾病组成,其份额从2004年的49%增加到2017年的51%。以泌尿生殖系统疾病、神经系统疾病、循环系统疾病和先天畸形疾病为主的发病指标对空气污染和大气CO2排放最为敏感。在哈尔科夫地区,对所有类型的初级发病率值影响最大的是CO2和N2O。
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 去求助
来源期刊
自引率
0.00%
发文量
22
期刊最新文献
Regarding the publication of a collective monograph under the project of the International Vysegrad Fund National participant geospatial information system in urban planning Assessment of the prospects of creating new forests in Ternopil region Biotic homogenization of dendroflora in the conditions of the megapolis (Dnipro, Ukraine) Entropy approach to assessment of the ecological state of a water course
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1