Suppr超能文献

探索西班牙马德里环境因素的季节性与新冠疫情波之间的联系。

Exploring the linkage between seasonality of environmental factors and COVID-19 waves in Madrid, Spain.

作者信息

Zoran Maria A, Savastru Roxana S, Savastru Dan M, Tautan Marina N, Baschir Laurentiu A, Tenciu Daniel V

机构信息

IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania.

出版信息

Process Saf Environ Prot. 2021 Aug;152:583-600. doi: 10.1016/j.psep.2021.06.043. Epub 2021 Jun 30.

Abstract

Like several countries, Spain experienced a multi wave pattern of COVID-19 pandemic over more than one year period, between spring 2020 and spring 2021. The transmission of SARS-CoV-2 pandemics is a multi-factorial process involving among other factors outdoor environmental variables and viral inactivation.This study aims to quantify the impact of climate and air pollution factors seasonality on incidence and severity of COVID-19 disease waves in Madrid metropolitan region in Spain. We employed descriptive statistics and Spearman rank correlation tests for analysis of daily in-situ and geospatial time-series of air quality and climate data to investigate the associations with COVID-19 incidence and lethality in Madrid under different synoptic meteorological patterns. During the analyzed period (1 January 2020-28 February 2021), with one month before each of three COVID-19 waves were recorded anomalous anticyclonic circulations in the mid-troposphere, with positive anomalies of geopotential heights at 500 mb and favorable stability conditions for SARS-CoV-2 fast diffusion. In addition, the results reveal that air temperature, Planetary Boundary Layer height, ground level ozone have a significant negative relationship with daily new COVID-19 confirmed cases and deaths. The findings of this study provide useful information to the public health authorities and policymakers for optimizing interventions during pandemics.

摘要

与其他几个国家一样,西班牙在2020年春季至2021年春季的一年多时间里经历了新冠疫情的多波模式。SARS-CoV-2大流行的传播是一个多因素过程,其中包括室外环境变量和病毒灭活等因素。本研究旨在量化气候和空气污染因素的季节性对西班牙马德里大都市区新冠疾病波的发病率和严重程度的影响。我们采用描述性统计和Spearman秩相关检验来分析空气质量和气候数据的每日现场和地理空间时间序列,以研究在不同天气气象模式下与马德里新冠发病率和致死率的关联。在分析期(2020年1月1日至2021年2月28日)内,在记录的三次新冠疫情波之前的每个月,对流层中部都出现了异常反气旋环流,500百帕等压面位势高度出现正异常,且有利于SARS-CoV-2快速扩散的稳定条件。此外,结果显示气温、行星边界层高度、地面臭氧与每日新增新冠确诊病例和死亡人数呈显著负相关。本研究结果为公共卫生当局和政策制定者在疫情期间优化干预措施提供了有用信息。

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