首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study
【2h】

Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study

机译:Covid-19 Catalonia(西班牙)发生率和死亡率的社区风险因素。基于人口的研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The heterogenous distribution of both COVID-19 incidence and mortality in Catalonia (Spain) during the firsts moths of the pandemic suggests that differences in baseline risk factors across regions might play a relevant role in modulating the outcome of the pandemic. This paper investigates the associations between both COVID-19 incidence and mortality and air pollutant concentration levels, and screens the potential effect of the type of agri-food industry and the overall land use and cover (LULC) at area level. We used a main model with demographic, socioeconomic and comorbidity covariates highlighted in previous research as important predictors. This allowed us to take a glimpse of the independent effect of the explanatory variables when controlled for the main model covariates. Our findings are aligned with previous research showing that the baseline features of the regions in terms of general health status, pollutant concentration levels (here NO2 and PM10), type of agri-food industry, and type of land use and land cover have modulated the impact of COVID-19 at a regional scale. This study is among the first to explore the associations between COVID-19 and the type of agri-food industry and LULC data using a population-based approach. The results of this paper might serve as the basis to develop new research hypotheses using a more comprehensive approach, highlighting the inequalities of regions in terms of risk factors and their response to COVID-19, as well as fostering public policies towards more resilient and safer environments.
机译:Covid-19在大流行第一个飞蛾期间Covid-19发病率和死亡率的异源分布表明,各地区的基线风险因素的差异可能在调制大流行的结果方面发挥相关作用。本文调查了Covid-19发病率和死亡率和空气污染物浓度水平之间的关联,并筛选了农业食品工业类型和地区水平的潜在效果和整体土地使用和覆盖(LULC)。我们利用了一个具有人口统计学的主要模型,在以前的研究中强调的社会经济和合并协变者作为重要预测因子。这使我们可以在控制主要模型协变量时瞥见解释性变量的独立效果。我们的研究结果与先前的研究一致,表明该地区的基线特征在一般健康状况,污染物浓度水平(这里NO2和PM10),农业食品工业的类型和土地使用类型和陆地覆盖的类型已经调制Covid-19在区域规模的影响。本研究是第一个探索Covid-19与使用基于人口的方法的Covid-19和Agri-Food Indocity和Lulc数据类型的协会之一。本文的结果可能是利用更全面的方法开发新研究假设的基础,突出了风险因素的不平等及其对Covid-19的回应,以及促进更多弹性和更安全的公共政策环境。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号