A novel spatial heteroscedastic generalized additive distributed lag model for the spatiotemporal relation between PM2.5and cardiovascular hospitalization.

IF 3.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Ali Hadianfar, Helmut Küchenhoff, Shahab MohammadEbrahimi, Azadeh Saki
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引用次数: 0

Abstract

Many studies have examined the impact of air pollution on cardiovascular hospitalization (CVH), but few have looked at the delayed effects of air pollution on CVH. Additionally, there has been no research on the spatial and temporal differences in how environmental pollutants affect CVH. This study seeks to identify spatial heteroscedasticity in the relation between PM2.5 and CVH by developing a Generalized Additive Distributed Lag (GADL) model. Data on hospitalization due to cardiovascular disease were collected from the Hospital Information System (HIS) of Mashhad University of Medical Science from 2017 to 2020. Air pollution data from 22 air quality monitoring (AQM) stations were obtained from the Environmental Pollution Monitoring Center of Mashhad administrates. Markov Random Field (MRF) smoother was utilized in the GADL model to account for spatial heteroscedasticity in the observations. This developed model is a Spatial Heteroscedastic Generalized Additive Distributed Lag (SHGADL) model. Our use of GADL allowed us to discover a significant relationship between PM2.5 exposures and the risk of CVH at lags 0 and 1 in all districts. Our results reveal heteroscedasticity in the Relative Risks (RR) of PM2.5 on CVH across different districts. After accounting for this spatial heteroscedasticity, we found that the RR of PM2.5 on CVH at lags 0 and 1 were 1.0102 (95% CI: 1.0034, 1.0170) and 1.0043 (95% CI: 1.0009, 1.0078) respectively. The central and southeastern districts showed higher RR for CVH. The developed SHGADL model provides evidence of a significant lagged effect of PM2.5 exposures on CVH, and identifies low- and high-risk districts for CVH in Mashhad. This finding can assist decision-makers in allocating resources and planning strategically, with a focus on local interventions to manage ambient air pollution and providing emergency care for CVH.

针对 PM2.5 与心血管病住院之间时空关系的新型空间异序广义加性分布滞后模型。
许多研究都探讨了空气污染对心血管病住院(CVH)的影响,但很少有研究探讨空气污染对心血管病住院的延迟影响。此外,关于环境污染物如何影响心血管病住院率的空间和时间差异也没有研究。本研究试图通过建立广义加性分布滞后(GADL)模型来识别 PM2.5 与 CVH 关系中的空间异方差性。研究从马什哈德医科大学医院信息系统(HIS)中收集了 2017 年至 2020 年因心血管疾病住院的数据。22个空气质量监测(AQM)站的空气污染数据来自马什哈德行政部门的环境污染监测中心。在 GADL 模型中使用了马尔可夫随机场(MRF)平滑器,以考虑观测数据的空间异方差性。该模型属于空间异方差广义加性分布滞后(SHGADL)模型。通过使用 GADL,我们发现在所有地区,PM2.5 暴露与 CVH 风险在滞后 0 和 1 时存在显著关系。我们的结果显示,不同地区 PM2.5 对 CVH 的相对风险(RR)存在异方差。在考虑了这种空间异方差性之后,我们发现 PM2.5 对 CVH 的相对风险率在滞后 0 和 1 分别为 1.0102(95% CI:1.0034,1.0170)和 1.0043(95% CI:1.0009,1.0078)。中部和东南部地区的 CVH RR 较高。所开发的 SHGADL 模型提供了 PM2.5 暴露对 CVH 有显著滞后效应的证据,并确定了马什哈德的 CVH 低风险区和高风险区。这一发现有助于决策者进行资源分配和战略规划,重点是采取地方干预措施来管理环境空气污染和为 CVH 提供紧急护理。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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