Suppr超能文献

城市、社会经济和生态环境因素对新冠疫情病例、死亡及死亡率的影响:巴西大西洋森林地区的多城市案例

The influence of urban, socio-economic, and eco-environmental aspects on COVID-19 cases, deaths and mortality: A multi-city case in the Atlantic Forest, Brazil.

作者信息

Viezzer Jennifer, Biondi Daniela

机构信息

Federal University of Paraná, Department of Forest Engineering, Brazil.

出版信息

Sustain Cities Soc. 2021 Jun;69:102859. doi: 10.1016/j.scs.2021.102859. Epub 2021 Mar 19.

Abstract

Urban, socio-economic and eco-environmental influences on people's health are widely studied and well-known. Their relation to COVID-19, however, is still a novel research topic. Thus, we investigated if COVID-19 parameters are higher in cities with higher urbanization, worst socio-economic conditions, and less vegetation cover, considering 3,052 municipalities in the Atlantic Forest, Brazil. Brazil is the second country most affected by COVID-19, and the Atlantic Forest is its most urbanized, populous, and deforested region. Indexes were created through multivariate principal components analysis using secondary official data: population, demographic density, absolute built area, and relative built area as urbanization parameters; average per capita income, relative people vulnerable to poverty, illiteracy rate of the population aged 18 or over, and human development index (HDI) as socio-economic parameters; and absolute and relative vegetation cover, absolute and relative forest cover as eco-environmental parameters. These indexes were correlated with absolute and relative confirmed COVID-19 cases, absolute and relative confirmed deaths, and mortality rate via Spearman's and Kendall's coefficients. Strong correlations (>0.50) were found between COVID-19 and urbanization. Socio-economic and eco-environmental aspects, although weaker predictors of COVID-19, presented meaningful relations with the health parameters. This study contributes to the evidence regarding COVID-19 incidence in the Brazilian population.

摘要

城市、社会经济和生态环境对人们健康的影响已得到广泛研究且广为人知。然而,它们与新冠病毒病(COVID-19)的关系仍是一个新的研究课题。因此,我们以巴西大西洋森林地区的3052个市为研究对象,调查了在城市化程度较高、社会经济条件较差且植被覆盖较少的城市中,新冠病毒病的相关参数是否更高。巴西是受新冠病毒病影响第二严重的国家,而大西洋森林地区是巴西城市化程度最高、人口最密集且森林砍伐最严重的地区。我们利用官方二手数据,通过多元主成分分析创建了各项指标:将人口、人口密度、建成区绝对面积和建成区相对面积作为城市化参数;将人均收入平均值、易受贫困影响人口比例、18岁及以上人口文盲率和人类发展指数(HDI)作为社会经济参数;将植被覆盖绝对面积和相对面积、森林覆盖绝对面积和相对面积作为生态环境参数。通过斯皮尔曼系数和肯德尔系数,将这些指标与新冠病毒病确诊病例绝对数和相对数、确诊死亡病例绝对数和相对数以及死亡率进行了相关性分析。研究发现,新冠病毒病与城市化之间存在强相关性(>0.50)。社会经济和生态环境方面虽然对新冠病毒病的预测能力较弱,但与健康参数之间存在有意义的关联。本研究为巴西人群中新冠病毒病发病率的相关证据提供了补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48b3/7977034/4cc55728ca87/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验