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相关论文: Quantifying disparities in air pollution exposures…

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Ambient exposure to fine particulate matters of diameters smaller than 2.5{\mu}m (PM2.5) has been identified as one critical cause for respiratory disease. Disparities in exposure to PM2.5 among income groups at individual residences are…

物理与社会 · 物理学 2022-06-01 Chao Fan , Yu-Heng Chien , Ali Mostafavi

Evaluating human exposure to environmental hazards is crucial for identifying susceptible communities and devising targeted health policies. Standard environmental hazard exposure assessment methods have been primarily based on place of…

应用统计 · 统计学 2023-06-23 Zhewei Liu , Chenyue Liu , Ali Mostafavi

Vehicular air pollution has created an ongoing air quality and public health crisis. Despite growing knowledge of racial injustice in exposure levels, less is known about the relationship between the production of and exposure to such…

应用统计 · 统计学 2023-01-03 Geoff Boeing , Yougeng Lu , Clemens Pilgram

A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited temporal frequency with which measurements of air pollutants…

We develop new methodology to improve our understanding of the causal effects of multivariate air pollution exposures on public health. Typically, exposure to air pollution for an individual is measured at their home geographic region,…

统计方法学 · 统计学 2025-11-18 Heejun Shin , Danielle Braun , Kezia Irene , Michelle Audirac , Joseph Antonelli

Epidemiologic studies have established associations between various air pollutants and adverse health outcomes for adults and children. Due to high costs of monitoring air pollutant concentrations for subjects enrolled in a study,…

应用统计 · 统计学 2019-10-07 Owais Gilani , Simon Urbanek , Michael J. Kane

Unequal exposure to air pollution by race and socioeconomic status is well-documented in the U.S. However, there has been relatively little research on inequities in the collection of PM2.5 data, creating a critical gap in understanding…

应用统计 · 统计学 2024-10-25 Zoé Haskell-Craig , Kevin P. Josey , Patrick L. Kinney , Priyanka deSouza

In this study, we apply machine learning and software engineering in analyzing air pollution levels in City of Baltimore. The data model was fed with three primary data sources: 1) a biased method of estimating insurance risk used by…

计算机与社会 · 计算机科学 2025-06-24 Shuangbao Paul Wang , Lucas Yang , Rahouane Chouchane , Jin Guo , Michael Bailey

Studies have shown that exposure to air pollution, even at low levels, significantly increases mortality. As regulatory actions are becoming prohibitively expensive, robust evidence to guide the development of targeted interventions to…

应用统计 · 统计学 2018-02-20 Kwonsang Lee , Dylan S. Small , Francesca Dominici

A long-standing expectation is that large, dense, and cosmopolitan areas support socioeconomic mixing and exposure between diverse individuals. It has been difficult to assess this hypothesis because past approaches to measuring…

Air pollution is a pressing environmental risk to public health, particularly in cities where population density and pollution levels are high. Traditional methods for exposure analysis often rely on census data, but recent studies…

Current characterization of flood exposure is largely based on residential location of populations; however, location of residence only partially captures the extent to which populations are exposed to flood. An important, though yet…

应用统计 · 统计学 2023-07-04 Bo Li , Chan Fan , Yu-Heng Chien , Chia-Wei Xsu , Ali Mostafavi

This paper presents an approach to estimating the health effects of an environmental hazard. The approach is general in nature, but is applied here to the case of air pollution. It uses a computer model involving ambient pollution and…

应用统计 · 统计学 2007-11-01 Gavin Shaddick , Duncan Lee , James V. Zidek , Ruth Salway

Transportation is one of the most pervasive sources of community noise. In this study, we used a spatially-resolved model of transportation-related noise with established transportation noise exposure-response functions to estimate the…

物理与社会 · 物理学 2023-11-06 Ching-Hsuan Huang , Edmund Seto

Segregation has long been recognized as a driver of environmental inequalities, with disadvantaged groups often living in neighborhoods where heat-related risks are highest. Yet, it remains unclear how daily mobility patterns, embedded…

物理与社会 · 物理学 2026-03-27 Marc Duran-Sala , Mattia Mazzoli , Martin Hendrick , Gabriele Manoli

Air pollutant exposure exhibits significant spatial and temporal variability, with localized hotspots, particularly in traffic microenvironments, posing health risks to commuters. Although widely used for air quality assessment, fixed-site…

信号处理 · 电气工程与系统科学 2025-06-04 Hui Zhong , Hongliang Lu , Ting Gan , Yonghong Liu , Xinhu Zheng

Air pollution generates substantial health damages and economic costs worldwide. Pollution exposure varies greatly, both between countries and within them. However, the degree of air quality inequality and its' trajectory over time have not…

综合经济学 · 经济学 2023-07-31 Lutz Sager

Air pollution is one of the leading causes of death globally, and continues to have a detrimental effect on our health. In light of these impacts, an extensive range of statistical modelling approaches has been devised in order to better…

大气与海洋物理 · 物理学 2022-03-10 Hankun He , Benjamin Schäfer , Christian Beck

The increased frequency of wildfires in the Western United States has raised public concerns. Exposure to wildfire smoke has been linked to an increased risk of cancer and cardiorespiratory morbidity. Evidence-driven interventions can…

应用统计 · 统计学 2022-07-20 Jiayang He , Ching-Hsuan Huang , Nanhsun Yuan , Elena Austin , Edmund Seto , Igor Novosselov

PM2.5 produced by freight trucks has adverse impacts on human health. However, it is unknown to what extent freight trucking affects communities of color and the total public health burden arising from the sector. Based on spatially…

综合经济学 · 经济学 2022-07-22 Priyank Lathwal , Parth Vaishnav , M. Granger Morgan
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