Article
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A COVID-19 Data Set Design, Modelling and Analysis on Selected Thirty Counties from Six States of the United States
Version 1
: Received: 17 August 2020 / Approved: 20 August 2020 / Online: 20 August 2020 (13:18:03 CEST)
How to cite: Ji, R. A COVID-19 Data Set Design, Modelling and Analysis on Selected Thirty Counties from Six States of the United States. Preprints 2020, 2020080464 Ji, R. A COVID-19 Data Set Design, Modelling and Analysis on Selected Thirty Counties from Six States of the United States. Preprints 2020, 2020080464
Abstract
In this four-month-long study (from April 1, 2020 to August 1, 2020), we have collected, modeled, and analyzed COVID-19 data from the top five most infected counties per top six most infected states in the United States (30 counties total). More specifically, we collected data on each state’s total COVID-19 cases, deaths, tests conducted, and their counties’ population, density, percentage of seniors, number of hospitals, total COVID-19 cases, and total COVID-19 related deaths. In this study, we have models illustrating the growth of COVID-19 cases and deaths per county, growth of COVID-19 cases and deaths per state (which is really the sum of our chosen five counties), and growth of COVID-19 tests conducted per state. In addition, our study also contains models illustrating the statistics of several variables that might have affected a county’s COVID-19 data, which has been mentioned above: population, density, percentage of seniors, and number of hospitals. An interesting finding we have noticed upon modeling the 30 counties’ density and total COVID-19 cases as an xy scatter plot is that there is a considerably strong relationship between the two variables. Los Angeles County (which was an extreme outlier), in particular, supports the idea that a county’s most populous city can greatly affect its entire county’s COVID-19 cases; if the largest city is extremely dense, it appears that the entire county has a greater total COVID-19 case count.
Supplementary and Associated Material
https://github.com/coronavirus-2020-data/coronavirus-data: Includes this study's full data set and graphs.
Keywords
COVID-19, coronavirus, population, density, hospital, pandemic
Subject
Computer Science and Mathematics, Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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