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A Statistical Characterization of COVID-19 Infections Considering City-Level Population and Economic Demographics.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Statistical Characterization of COVID-19 Infections Considering City-Level Population and Economic Demographics./
作者:	Aoki, Emi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	175 p.
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Epidemiology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28966351
ISBN:	9798438769156

A Statistical Characterization of COVID-19 Infections Considering City-Level Population and Economic Demographics.
Aoki, Emi.

A Statistical Characterization of COVID-19 Infections Considering City-Level Population and Economic Demographics. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 175 p.

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--University of Massachusetts Lowell, 2022.

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

This study combines data from the US Census Bureau and Wisconsin Department of Health Services and Department of Administration to analyze the city-level COVID-19 infections as a function of city area, its total population, race and ethnicity composition, workforce, and economic status.A two-phase study is carried out considering daily aggregated infection data in the first phase and the disaggregated data by race/ethnicity groups in the second phase to identify statistical relationships that can improve our understanding on how COVID-19 infections may impact different groups of people or regions. Principal component analysis (PCA) is conducted to decorrelate features that show a dependence and also investigate if the dimensions of the feature space can be reduced.The goal is to determine causes where certain cities show counts of COVID-19 confirmed cases that are not proportional to the city population or its population density. Cities may experience higher than the expected number of incidences due to its race/ethnicity demographics, poverty rate, and geographic feature. Cities with higher population density are likely to have higher than proportional values of COVID-19 case relative to certain race/ethnicity groups. The disproportional cases occur in cities located (1) within or next to towns or (2) being part of densely populated areas such as a large metropolitan area. Cities that are surrounded by areas with high racial and ethnic minorities also raise the number of cases.Thus, consideration of race/ethnicity demographics and geographic relationship among neighboring municipalities is recommended when implementing community specific mitigation strategies.

ISBN: 9798438769156Subjects--Topical Terms:

568544
Epidemiology.
Subjects--Index Terms:

City-level COVID-19 infections

A Statistical Characterization of COVID-19 Infections Considering City-Level Population and Economic Demographics.
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