covid {betaBayes} | R Documentation |
COVID-19 County Level Data
Description
A county level COVID-19 dataset in US. It is of interest to examine the association between several county-level characteristics and the cumulative numbers of confirmed cases and deaths. County-level characteristics are based on the 2018 ACS 5-year estimates.
Usage
data(covid)
Format
FIPS: | FIPS county code |
PopE: | total population |
MaleP: | percentage of people who are male |
WhiteP: | percentage of people who are white |
BlackP: | percentage of people who are black or African American |
Age65plusP: | percentage of people who are 65 years and over |
PovertyP: | percentage of people whose income in the past 12 months is below poverty |
RUCC_2013: | 2013 Rural Urban Continuum Code, with a higher value indicating a more rural county |
State: | two-letter state abbreviation code |
deaths: | cumulative number of deaths as of October 13, 2020 |
cases: | cumulative number of confirmed cases as of October 13, 2020 |
Examples
data(covid)
head(covid)
[Package betaBayes version 1.0.1 Index]