The purpose of the SaviR package is to collate data from various publicly available Coronavirus 2019 (COVID-19) data sources for analysis and visualization. This package is divided into two main sections: COVID Analytical Datasets (COVAD) and COVID Data Visualizations (COVIS).
- World Health Organization (WHO) - COVID-19 Cases and Deaths (China data includes Taiwan, Hong Kong, and Macua data)
- Johns Hopkins University (JHU) - COVID-19 Cases and Deaths (China, Taiwan, Hong Kong, and Macua data are disaggregated)
- Our World In Data (OWID) - COVID-19 Vaccines, Tests, and Hospitalizations
- United Nations - Population Estimates
- World Bank - Country Income Classifications
Note: Please refer to original data sources to ensure data accuracy as data models could have changed
You can install the released version of SaviR from Github with:
devtools::install_github("CDCgov/SaviR")
You can also use the code above to update your SaviR package as needed. When loading SaviR, be sure to load in this package last.
Metadata Functions | Get Functions | Calculation Functions |
---|---|---|
get_onetable | get_combined_table | calc_add_risk |
get_country_coords | get_covid_df | calc_vax_carryforward |
get_vax_dates | get_testing | |
get_vax_manufacturers | get_testing_long | |
get_vax | ||
get_vax_by_type | ||
get_hospdata | ||
get_gdeltnews |
- Metadata is stored in this package and can be called:
metadata <- onetable
country_coordinates <- country_coords
Plot Functions | Map Functions | Table Functions |
---|---|---|
plot_epicurve | map_template | table_10mostcases |
plot_epicurve_ind | map_burden | table_10incidence |
plot_epicurve_epidouble | map_trend | table_10percentchange |
plot_epicurve_dailydouble | map_vaccinations | table_10vaccinations |
plot_riskmatrix | table_countriesofconcern | |
plot_vaxcoverage | ||
plot_vaxcoverage_pop | ||
plot_vaxcurve |
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