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Data Fields Pandemic Modeling

MaggieWYZW edited this page May 15, 2020 · 4 revisions

Overview

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

Data dictionary

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