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首页> 外文期刊>Science of the total environment >Determining the effects of socioeconomic and environmental determinants on chronic obstructive pulmonary disease (COPD) mortality using geographically and temporally weighted regression model across Xi'an during 2014-2016
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Determining the effects of socioeconomic and environmental determinants on chronic obstructive pulmonary disease (COPD) mortality using geographically and temporally weighted regression model across Xi'an during 2014-2016

机译：在2014 - 2016年期间在西安跨西安在西安地理和时间加权回归模型确定社会经济和环境决定簇对慢性阻塞性肺病（COPD）死亡的影响

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摘要

Numerous methods have been implemented to evaluate the relationship between environmental factors and respiratory mortality. However, the previous epidemiological studies seldom considered the spatial and temporal variation of the independent variables. The present study aims to detect the relations between respiratory mortality and related affecting factors across Xi'an during 2014-2016 based on a novel geographically and temporally weighted regression model (GTWR). Meanwhile, the ordinary least square (OLS) and the geographically weighted regression (GWR) models were developed for cross-comparison. Additionally, the spatial autocorrelation and Hot Spot analysis methods were conducted to detect the spatiotemporal dynamic of respiratory mortality. Some important outcomes were obtained. Socioeconomic and environmental determinants represented significant effects on respiratory diseases. The respiratory mortality exhibited an obvious spatial correlation feature, and the respiratory diseases tend to occur in winter and rural areas of the study area. The GTWR model outperformed OLS and GWR for determining the relations between respiratory mortality and socioeconomic as well as environmental determinants. The influence degree of anthropic factors on COPD mortality was higher than natural factors, and the effects of independent variables on COPD varied timely and locally. The results can supply a scientific basis for respiratory disease controlling and health facilities planning.
机译：已经实施了许多方法来评估环境因素与呼吸死亡率之间的关系。然而，以前的流行病学研究很少考虑独立变量的空间和时间变化。本研究旨在在2014 - 2016年基于新的地理上和时间加权回归模型（GTWR）来检测2014 - 2016年呼吸死亡率与西安相关影响因素的关系。同时，开发了普通的最小二乘（OLS）和地理加权回归（GWR）模型用于交叉比较。另外，进行了空间自相关和热点分析方法以检测呼吸死亡率的时空动态。获得了一些重要的结果。社会经济和环境决定因素对呼吸系统疾病具有显着影响。呼吸死亡率表现出明显的空间相关特征，呼吸系统疾病往往发生在研究区的冬季和农村地区。 GTWR模型表现优于OLS和GWR，用于确定呼吸死亡率和社会经济以及环境决定因素之间的关系。拟人因素对COPD死亡率的影响程度高于自然因素，以及独立变量对COPD的影响及时和当地。结果可为呼吸系统疾病控制和卫生设施规划提供科学依据。

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  • 来源
    《Science of the total environment》 |2021年第20期|143869.1-143869.15|共15页
  • 作者

    Bin Guo; Yan Wang; Lin Pei; Yan Yu; Feng Liu; Donghai Zhang; Xiaoxia Wang; Yi Su; Dingming Zhang; Bo Zhang; Hongjun Guo;

  • 作者单位

    College of Geomatics Xi'an University of Science and Technology Xi'an China;

    College of Geomatics Xi'an University of Science and Technology Xi'an China;

    School of Public Health Xi'an Jiaotong Univetsity Xi'an China;

    School of Public Health Xi'an Jiaotong Univetsity Xi'an China;

    Shaanxi Provincial Center for Disease Control and Prevention Xi'an China;

    College of Geomatics Xi'an University of Science and Technology Xi'an China;

    College of Geomatics Xi'an University of Science and Technology Xi'an China;

    College of Geomatics Xi'an University of Science and Technology Xi'an China;

    College of Geomatics Xi'an University of Science and Technology Xi'an China;

    College of Geomatics Xi'an University of Science and Technology Xi'an China;

    Weinan Central Hospital Weinan Shaanxi China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    COPD; Air pollutants; Moran's I; Hot Spot analysis; CTWR; CIS;

    机译：COPD;空气污染物;莫兰的我;热点分析;CTWR;CIS.;

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