Spatial Analysis of Air Quality and Asthma Models in 2014 and 2018 for Los Angeles County, California
Spatial Analysis of Air Quality and Asthma Models in 2014 and 2018 for Los Angeles County, California

Author: Crystal Haro-Sanchez

Publisher:

Published: 2022

Total Pages: 0

ISBN-13:

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The purpose of this study was to construct models and spatial analysis test for air quality and asthma hospitalization rates. From previous and similar research conducted observing fine particulate matter, diesel particulate matter, transportation routes, and lung health, it is hypothesized that regression models can be used to assist in confirming a statistically significant relationship between air quality surrounding in concentrations across Los Angeles County and asthma-related hospitalization. The results of this study are intended to build upon existing public health research for communities most at risk for lung-related health complications as a result of declining air quality conditions. Multiple regression analysis tests used in ArcGIS Pro were run with results showing that operating such tests while excluding demographic data and factors gave a weak statistically significant result for each model, with overall clustering and low p-values. Models and other visual maps were created using ArcGIS software and available public census data included in Arc software.

Spatiotemporal Analysis of Air Pollution and Its Application in Public Health
Spatiotemporal Analysis of Air Pollution and Its Application in Public Health

Author: Lixin Li

Publisher: Elsevier

Published: 2019-11-13

Total Pages: 336

ISBN-13: 012816526X

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Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the spatial temporal distribution and trends of air pollution in the atmosphere, including how this information can be tied into the diverse amount of public health data available using accurate GIS techniques. By utilizing GIS to monitor, analyze and visualize air pollution problems, it has proven to not only be the most powerful, accurate and flexible way to understand the atmosphere, but also a great way to understand the impact air pollution has in diverse populations. This book is essential reading for novices and experts in atmospheric science, geography and any allied fields investigating air pollution. Introduces readers to the benefits and uses of geo-spatiotemporal analyses of big data to reveal new and greater understanding of the intersection of air pollution and health Ties in machine learning to improve speed and efficacy of data models Includes developing visualizations, historical data, and real-time air pollution in large geographic areas

A Comprehensive Analysis of Air Pollution and Inequity During COVID-19 in Los Angeles County
A Comprehensive Analysis of Air Pollution and Inequity During COVID-19 in Los Angeles County

Author: Kevin Michael Marlis

Publisher:

Published: 2021

Total Pages: 0

ISBN-13:

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The COVID-19 global pandemic has impacted every facet of life, especially within Los Angeles County, one of the hardest hit regions in the world. Not every community within Los Angeles County has been affected evenly. The aim of this research is twofold: the creation of a COVID-19 Equity index value for neighborhoods within Los Angeles County; and to assess the response to COVID-19 on air quality within the Los Angeles region. This research will contribute to a better understanding of the consequences of COVID-19 on low-income communities where health and healthcare is at a premium. The COVID-19 Equity index can be used to assess the COVID-19 vaccination rollout and whether or not the appropriate demographics are prioritized. This research also shows the impact of the reduction of passenger traffic due to COVID-19 related stay at home orders on Nitrogen Dioxide (NO2), Particulate Matter 2.5 (PM2.5), and Ozone, three of the leading contributors to smog, pollution, and asthma.