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/).
Cite this article
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 -