COVID-19 and Politics

DOI

10.2991/assehr.k.211011.103How to use a DOI?

Keywords

United States, Covid-19, US politics, US Coronavirus policies, R Studio

Abstract

In this project, in this research used the county of Harris and Colorado in Texas, California, and Nevada as examples to investigate the relationship between COVID-19 and the politics of the United States; specifically, the difference in the coronavirus statistics among the counties across the country with varying preferences of the two main political parties—the Republican Party and the Democratic Party. This paper referenced four databases which are US presidential election county level data, Covid-19 county level data from May 2020 to March 2021, US population data, and county level US latitude and longitude data. In this essay used these data develop a shiny app which contains Country Polarization Map, State Polarization Graph, County Polarization Map, US Covid-19 Death Rate and Confirmed Rate Graph, State Covid-19 Death Rate and Confirmed Rate Graph, County Covid-19 Death Rate and Confirmed Rate Graph, and State Covid-19 Death Rate and Confirmed Rate Map. In this research used these charts and maps to do some analysis in conjunction with some local policies. The difference in political tendency had little effect on the prevent spread of coronavirus at two counties in Texas, Harris and Colorado. In California and Nevada, Democratic counties in those two states had higher confirmation rates and higher mortality rates than Republican counties.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fei Li
AU  - Ching-Han Liao
AU  - Ruoyuan Ma
AU  - Qianyao Zhu
AU  - Yuzhe Liu
PY  - 2021
DA  - 2021/10/12
TI  - COVID-19 and Politics
BT  - Proceedings of the 2021 6th International Conference on Modern Management and Education Technology（MMET 2021）
PB  - Atlantis Press
SP  - 570
EP  - 583
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211011.103
DO  - 10.2991/assehr.k.211011.103
ID  - Li2021
ER  -