Service Objects Further Enhances COVID-19 Case Data
We recently announced that Service Objects has created an enhanced dataset of COVID-19 cases nationwide, which has been deduped, cleansed and appended with over 200 additional data points to assist researchers, data scientists and others in combating this global pandemic. You can read the original blog, ‘Service Objects Creates Enhanced COVID-19 Case Data – Now Available for Download‘. The dataset is available free of charge, updated regularly and can be downloaded here.
This dataset uses COVID-19 case data from the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This data is broken down by US county, combined with geographic, demographic, socioeconomic, climate and other data from sources such as the US National Oceanic and Atmospheric Administration (NOAA), the US Census, the World Health Organization and others.
New data just added
Continuing our commitment to use our data to help the world get back to normal, we identified additional datasets that we feel are valuable to researchers, including:
Temperature data: We have now added 5-year monthly average temperatures for each geographic area, in degrees Fahrenheit, broken down per month. This is based on weather data from NOAA, and while this is not a database of up-to-date weather data, these 5-year averages can serve as useful predictive data.
Confirmed cases and deaths: This data has been updated with the following statistics for each area:
- Cases per 100,000 people
- Deaths per 100,000 people
- Cases per square mile
- Deaths per square mile
These data points are helper statistics for providing a better picture of hotspots during this outbreak. This is important because normal confirmed case and death statistics do not take into account population density and county area size. For example, if a county containing a major city has twice as many confirmed COVID-19 cases as a neighboring county, but also has 8 times the population as that county, this provides potentially important information on the prevalence and spread of this disease within these two counties. Likewise, if two counties have the same number of cases, but one has three times the area in square miles, this can be useful information as well.
Accessing this data
For information about higher resolution data, or any other questions regarding this dataset, please contact us at email@example.com.