-
Notifications
You must be signed in to change notification settings - Fork 16
Data Fields Pandemic Modeling
MaggieWYZW edited this page May 15, 2020
·
4 revisions
Multiple data sources are incorporated together to predict new cases for COVID-19.
- Time series data link
- Mobility data from Google COVID-19 Community Mobility Reports link
- Weather data from NASA link
Field Name | Data Type | Description | Example | Notes |
---|---|---|---|---|
country | String | Country name | United States | 130 countries total |
region | String | state, province or region depending on jurisdiction. In general, the first administrative subdivision below the level of country | Texas | |
sub_region | String | county or parish or the appropriate name of the administrative subdivision below the level of state or equivalent | Washington County | |
level | String | Level of record for filtering | country | Three levels: country, region, sub_region |
date | Date | Date of the record | 2020-02-15 00:00:00 | min: 2020-02-15 00:00:00, max: 2020-05-01 00:00:00 |
lat | float | latitude | 23.315 | |
long | float | longitude | -85.7195 | |
cases | integer | The cumulative number of confirmed or presumed confirmed cases | 100 | min 0, max 1095681 |
deaths | integer | The cumulative number of deaths attributed to COVID-19 | 10 | min 0, max 59059 |
recovered | integer | The cumulative number of recoveries | 100 | min 0, max 126900 |
active | integer | number of active cases | ||
tested | integer | The cumulative number of tests from which results have been obtained (does not include pending tests) | min 0, max 6553449 | |
hospitalized | integer | The cumulative number of patients hospitalized for COVID-19 | ||
discharged | integer | The cumulative number of patients discharged after hospitalization for COVID-19 | ||
year | integer | year of the record | ||
month | integer | month of the record | ||
weekday | integer | day of the week of the record | ||
mobility_retail_recreation | integer | Mobility trends for places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters. | min -100, max 187 | |
mobility_grocery_pharmacy | integer | Mobility trends for places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies. | min -100, max 136 | |
mobility_parks | integer | Mobility trends for places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens. | min-100, max 324 | |
mobility_transit_stations | integer | Mobility trends for places like public transport hubs such as subway, bus, and train stations. | min -100, max 180 | |
mobility_workplaces | integer | Mobility trends for places of work. | min -93, max 164 | |
mobility_residential | integer | Mobility trends for places of residence. | min -11, max 55 | |
avg_temperature | float | average temperature (Celsius) measured at a certain lat/long | ||
min_temperature | float | minimum temperature (Celsius) measured at a certain lat/long | ||
max_temperature | float | maximum temperature (Celsius) measured at a certain lat/long | ||
relative_humidity | float | relative humidity (%) measured at a certain lat/long | ||
specific_humidity | float | specific humidity (kg kg-1) measured at a certain lat/long | ||
pressure | float | Atmospheric pressure (kPa) measured at a certain lat/long |