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dc.contributor.authorNair, Shruthy
dc.date.accessioned2020-10-02T14:33:47Z
dc.date.available2020-10-02T14:33:47Z
dc.date.issued2020
dc.identifier.urihttp://hdl.handle.net/1853/63738
dc.descriptionMaster of Science in Geographic Information Science and Technology (MS-GIST) Capstone Project.en_US
dc.description.abstractCOVID-19 is a highly infective virus with a rapid transmission rate. It has led to a pandemic that has impacted millions of people all around the world. In the United States alone, over 3 million people have being directly affected by COVID-19 as they tested positive and millions more have been affected indirectly due to the virus. The purpose of this study is to determine if a COVID-19 Vulnerability Index can be created using GIS, that would enable one to identify high risk counties within the United States. A Vulnerability Index measures how vulnerable a population or region is to a particular illness. Multiple socio-economic, demographic, transportation and health related factors were utilized in the development of the Vulnerability Index. Principal Component Analysis were applied to analyze the distribution and correlation in the factors and create the index values. The COVID-19 case rates, death rates and the COVID-19 Vulnerability Index values were compared using spatial clustering and then their actual results were compared to see if the Vulnerability Index is a good measure for COVID-19 case rates and death rates. Results indicated that the COVID-19 Vulnerability Index is a good measure to identify counties that are at risk of increasing their case rate, but not death rates. Furthermore, ordinary least squares regression and spatial lag model were run to evaluate the effectivity of the COVID-19 Vulnerability Index in identifying counties with increasing risk of COVID-19 cases. The regression models indicated that the Vulnerability Index is a relatively good measure determining high risk counties.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesGIST Capstone Papersen_US
dc.subjectCOVID-19en_US
dc.subjectUnited Statesen_US
dc.subjectVulnerability indexen_US
dc.titleCovid-19 Vulnerability Index for United States Countiesen_US
dc.typeMasters Projecten_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of City and Regional Planningen_US


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