| covid19sf_population {covid19sf} | R Documentation |
COVID-19 Cases by Population Characteristics Over Time
Description
TThis dataset shows San Francisco COVID-19 cases by population characteristics and by specimen collection date. Cases are included on the date the positive test was collected. Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how cases have been distributed among different subgroups. This information can reveal trends and disparities among groups. Data is lagged by five days, meaning the most recent specimen collection date included is 5 days prior to today. Tests take time to process and report, so more recent data is less reliable. More details available here
Usage
covid19sf_population
Format
An object class data.frame with 7 variables
- specimen_collection_date
Date which case was recorded in YYYY-MM-DD format.
- characteristic_type
Overall topic area for a given population characteristic. These are subgroups or demographic cross-sections, like age
- characteristic_group
Each group or category within a characteristic type or topic area. ex 0-4 yrs, 5-10 yrs
- characteristic_group_sort_order
Sort order of characteristic group to aid in visualizing data
- new_cases
Cases are counted as confirmed on the date of specimen collection after a positive lab test result
- cumulative_cases
Cumulative Cases
- population_estimate
Population estimate for a given characteristic type and characteristic group
Details
The dataset contains a summary of COVID-19 cases overtime by population characteristics
Source
San Francisco, Department of Public Health - Population Health Division through San Francisco Opne Data protal website.
Examples
data(covid19sf_population)
head(covid19sf_population)