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The Spatial Variability of COVID-19 in Massachusetts: Implications for Sustainable Development.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Spatial Variability of COVID-19 in Massachusetts: Implications for Sustainable Development./
Author:	Wang, Peiyao.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	68 p.
Notes:	Source: Masters Abstracts International, Volume: 82-09.
Contained By:	Masters Abstracts International82-09.
Subject:	Urban planning. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28264902
ISBN:	9798582501596

The Spatial Variability of COVID-19 in Massachusetts: Implications for Sustainable Development.
Wang, Peiyao.

The Spatial Variability of COVID-19 in Massachusetts: Implications for Sustainable Development. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 68 p.

Source: Masters Abstracts International, Volume: 82-09.

Thesis (M.S.)--Tufts University, 2021.

This item must not be sold to any third party vendors.

The goal of this thesis is to understand the spatial variability of COVID-19 incidence rates across Massachusetts cities and towns while controlling for socioeconomic and urban built environment factors. A dataset which included nine socio-economic indicators and eight built environment indicators was collated. These variables were used to explain the spatial variability of COVID-19 incidence using Ordinary Least Square (OLS) and Spatial Error (SE) regressions as well as Geographically Weighted Regression (GWR). Principle Component Analysis (PCA), were used to create new built environment variables that could help reduce multicollinearity.The results of the analysis suggest that built environment, education and the percentage of renter-occupied housing units significantly predict COVID-19 incidence rates across the state. The GWR also suggested that these significant predictors of COVID-19 incidence rate varied locally within the state. Urban planners and policymakers need to work on addressing inequity of access not only in education and housing but also access to non-motorized vehicle and green spaces in communities which were found to be harder hit by the COVID-19 pandemic.

ISBN: 9798582501596Subjects--Topical Terms:

2122922
Urban planning.
Subjects--Index Terms:

Built environment

The Spatial Variability of COVID-19 in Massachusetts: Implications for Sustainable Development.
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520 $a The goal of this thesis is to understand the spatial variability of COVID-19 incidence rates across Massachusetts cities and towns while controlling for socioeconomic and urban built environment factors. A dataset which included nine socio-economic indicators and eight built environment indicators was collated. These variables were used to explain the spatial variability of COVID-19 incidence using Ordinary Least Square (OLS) and Spatial Error (SE) regressions as well as Geographically Weighted Regression (GWR). Principle Component Analysis (PCA), were used to create new built environment variables that could help reduce multicollinearity.The results of the analysis suggest that built environment, education and the percentage of renter-occupied housing units significantly predict COVID-19 incidence rates across the state. The GWR also suggested that these significant predictors of COVID-19 incidence rate varied locally within the state. Urban planners and policymakers need to work on addressing inequity of access not only in education and housing but also access to non-motorized vehicle and green spaces in communities which were found to be harder hit by the COVID-19 pandemic.
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