東華大學圖書館 |

Social Vulnerability Index and COVID-19.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Social Vulnerability Index and COVID-19./
作者:	Oh, Haewon.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	72 p.
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Public health. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28722782
ISBN:	9798534687262

Social Vulnerability Index and COVID-19.
Oh, Haewon.

Social Vulnerability Index and COVID-19. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 72 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--University of Illinois at Chicago, 2021.

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

Although the COVID-19 crisis has had global impacts, COVID-19 has disproportionately affected poor, segregated racial/ethnic populations on the local level across the United States. To understand the effects of COVID-19 on such populations, various indexes have been developed to help identify the communities most likely to be impacted by the disease. These indexes include the Social Vulnerability Index and the COVID-19 Community Vulnerability Index. To determine the efficacy of the Social Vulnerability Index and COVID-19 Community Vulnerability Index, this study (1) uses Poisson regression analysis to compare the ability of Social Vulnerability Index and COVID-19 Community Vulnerability Index themes to explain actual Illinois county infection rates and case fatality rates, (2) examines the relative contributions of the four Social Vulnerability Index themes and six COVID-19 Community Vulnerability Index themes to the composite score using the Principal Component Analysis, Random Forest model, and relative importance metrics in a linear regression model, and (3) applies the three methods to explain case fatality rates. The study revealed that the Social Vulnerability Index better explains COVID-19 infection and case fatality rates compared to the COVID-19 Community Vulnerability Index, with the Minority Status and Language theme of both indexes appearing to be related to infection rates. In addition, using Principal Component Analysis, Random Forest, and relative importance metrics in linear regression analysis to rank the importance of Social Vulnerability Index and COVID-19 Community Vulnerability Index themes, the Minority Status and Language theme was found to make the least contribution to the composite score at the county level. The Minority Status and Language theme was the most important COVID-19 Community Vulnerability Index factor in explaining the infection rate, but it appeared to be the least important to the composite score. This would explain why the COVID-19 Community Vulnerability Index composite score showed no significant relationship to the infection rate. When the three analysis methods were applied to explain the case fatality rate, the Random Forest model and Principal Component Analysis revealed that the Socioeconomic Status theme of the Social Vulnerability Index made the greatest contribution to that rate. Thus, I conclude that the case fatality rate is strongly related to Socioeconomic Status factors such as income, as the severity of COVID-19 is dependent on the ability to access medical treatment, and that the infection rate is related to the Minority Status and Language theme. For the COVID-19 Community Vulnerability Index, all three methods produced very different results. On the whole, I conclude that the Social Vulnerability Index is a more appropriate index than the COVID-19 Community Vulnerability Index for explaining overall COVID-19 infection and case fatality rates. One issue with the COVID-19 Community Vulnerability Index is that the variables used for the Epidemiological Factors and Healthcare System Factors themes are measured at the state or county level. Thus, I argue that indexes such as the COVID-19 Community Vulnerability Index need to be constructed at the community and census tract levels.

ISBN: 9798534687262Subjects--Topical Terms:

534748
Public health.
Subjects--Index Terms:

Social Vulnerability Index

Social Vulnerability Index and COVID-19.
LDR:04459nmm a2200385 4500 001 2345185
005 20220531132459.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798534687262
035 $a (MiAaPQ)AAI28722782
035 $a (MiAaPQ)0799vireo2496Oh
035 $a AAI28722782
040 $a MiAaPQ $c MiAaPQ
100 1 $a Oh, Haewon. $3 3684082
245 1 0 $a Social Vulnerability Index and COVID-19.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 72 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Kim, Sage.
502 $a Thesis (M.S.)--University of Illinois at Chicago, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Although the COVID-19 crisis has had global impacts, COVID-19 has disproportionately affected poor, segregated racial/ethnic populations on the local level across the United States. To understand the effects of COVID-19 on such populations, various indexes have been developed to help identify the communities most likely to be impacted by the disease. These indexes include the Social Vulnerability Index and the COVID-19 Community Vulnerability Index. To determine the efficacy of the Social Vulnerability Index and COVID-19 Community Vulnerability Index, this study (1) uses Poisson regression analysis to compare the ability of Social Vulnerability Index and COVID-19 Community Vulnerability Index themes to explain actual Illinois county infection rates and case fatality rates, (2) examines the relative contributions of the four Social Vulnerability Index themes and six COVID-19 Community Vulnerability Index themes to the composite score using the Principal Component Analysis, Random Forest model, and relative importance metrics in a linear regression model, and (3) applies the three methods to explain case fatality rates. The study revealed that the Social Vulnerability Index better explains COVID-19 infection and case fatality rates compared to the COVID-19 Community Vulnerability Index, with the Minority Status and Language theme of both indexes appearing to be related to infection rates. In addition, using Principal Component Analysis, Random Forest, and relative importance metrics in linear regression analysis to rank the importance of Social Vulnerability Index and COVID-19 Community Vulnerability Index themes, the Minority Status and Language theme was found to make the least contribution to the composite score at the county level. The Minority Status and Language theme was the most important COVID-19 Community Vulnerability Index factor in explaining the infection rate, but it appeared to be the least important to the composite score. This would explain why the COVID-19 Community Vulnerability Index composite score showed no significant relationship to the infection rate. When the three analysis methods were applied to explain the case fatality rate, the Random Forest model and Principal Component Analysis revealed that the Socioeconomic Status theme of the Social Vulnerability Index made the greatest contribution to that rate. Thus, I conclude that the case fatality rate is strongly related to Socioeconomic Status factors such as income, as the severity of COVID-19 is dependent on the ability to access medical treatment, and that the infection rate is related to the Minority Status and Language theme. For the COVID-19 Community Vulnerability Index, all three methods produced very different results. On the whole, I conclude that the Social Vulnerability Index is a more appropriate index than the COVID-19 Community Vulnerability Index for explaining overall COVID-19 infection and case fatality rates. One issue with the COVID-19 Community Vulnerability Index is that the variables used for the Epidemiological Factors and Healthcare System Factors themes are measured at the state or county level. Thus, I argue that indexes such as the COVID-19 Community Vulnerability Index need to be constructed at the community and census tract levels.
590 $a School code: 0799.
650 4 $a Public health. $3 534748
650 4 $a Epidemiology. $3 568544
650 4 $a Social research. $3 2122687
650 4 $a Demography. $3 614991
650 4 $a Hispanic Americans. $3 614510
650 4 $a Socioeconomic factors. $3 3435444
650 4 $a Fatalities. $3 3681792
650 4 $a African Americans. $3 724919
650 4 $a Minority & ethnic groups. $3 3422415
650 4 $a Disease control. $3 3562653
650 4 $a COVID-19. $3 3554449
653 $a Social Vulnerability Index
653 $a COVID-19 Community Vulnerability Index
653 $a COVID-19
653 $a Coronavirus disease 2019
690 $a 0573
690 $a 0344
690 $a 0766
690 $a 0938
710 2 $a University of Illinois at Chicago. $b Public Health Sciences_Health Policy and Administration. $3 3684083
773 0 $t Masters Abstracts International $g 83-02.
790 $a 0799
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28722782