Our Google Cloud Public Datasets initiative announced in March that new COVID-19 public datasets would be added to expand the availability of essential datasets in support of the worldwide response to the novel coronavirus.
Aside from COVID-19 case data, we’ve broadened our datasets to offer more value to members of the scientific community and public decision-makers.
For an additional year, we’ll be extending our first year-long free querying of COVID-19 publicly available datasets.
If it weren’t for the collaborations between Google Cloud and data providers, these extended datasets would not have been possible These data providers remove restrictions and boost the speed at which customers can access and query these big data files by onboarding public data to BigQuery.
Everything can be found in one location thanks to the COVID-19 public datasets and Google BigQuery.
Keeping our users in mind, we want to ensure that lack of resources does not play a role in their capacity to comprehend this information.
That’s why we’re opening up datasets to the public, and we’re hoping that this will increase the number of people who can contribute to finding solutions to this pandemic, whether it’s students and faculty using the datasets for distance learning in the fall or local decision-makers determining when their communities can safely reopen.
We sincerely hope that these databases will continue to be a valuable source of knowledge for those battling COVID-19 around the world.
How Google Has Collaborated with Non-Profits to Make the Covid-19 Datasets Available for Download
Since the outbreak began, The New York Times has been tracking and visualizing cases across the country. Data from the county and state levels have been made publicly available, allowing researchers to track, model, and visualize pathogen distribution.
The first coronavirus case in Washington State was reported on January 21, 2020, and these comprehensive databases cover the whole United States at the national, state, and county levels.
The New York Times published statistics from its excess deaths tracker as the number of fatalities from the pandemic grew across the country and abroad, giving academics and the general public a greater idea of the exact global toll.
To make this data accessible on BigQuery, we collaborated with them. The New York Times also calculated the prevalence of mask-wearing in the United States and made that data available to scholars in order to better understand the pandemic’s influence on mask-wearing.
Other than that, Google has made data from the COVID-19 Community Mobility Reports and BigQuery available to help policymakers better understand the effects of their decisions.
First responders and other healthcare and public sector-impacted organizations can use our COVID-19 Public Forecasts to project metrics like case counts and deaths into the future. BigQuery also has access to this information.
To better understand how COVID-19 affects our communities and healthcare systems, we published datasets related to the social determinants of health, such as income and education.
Our goal was to include existing datasets such as the American Community Survey from the U.S. Census Bureau and OpenStreetMap in COVID-19-related queries that qualify for free querying.
Datasets like the United States Area Deprivation Index are now available on BigQuery because of our collaboration with organizations like BroadStreet.
Using this dataset, researchers can see how vulnerable a community is to public health risks at a very local level.
Last but not least we’ve published aggregated hospital capacity statistics from the American Hospital Association to help community leaders better understand how their town can handle an increase in hospitalizations in the future.
As a result, we acknowledge that the scientific community’s response to COVID-19 is frequently dependent on the accessibility and availability of high-quality scientific data.
The immunological epitope database (Vita et al, Nucleic Acid Research 2018) is now available on BigQuery for researchers looking into the immune response to the SARS-CoV-2 virus.
In addition, we’ve written a number of articles demonstrating how academics may use the Google Cloud AI Platform to study and develop prediction models using this dataset.
Several publicly accessible COVID-19 and related datasets have been combined at a fine geographic level and made available in BigQuery as well as CSV and JSON formats as an additional resource for the scientific community. On GitHub, you can find the code that was used to produce this data set.
In the future, we will continue to provide more COVID-19 public datasets associated with these identified target areas:
such as case and test statistics and hospital records for epidemiology
Policy responses and outcomes, such as increased mobility and mask compliance, from the government
Health disparities, social causes, and the reaction of the community
The results of medical and other studies
You should not miss this talk at Google Cloud Next ’20 OnAir if you’re interested in learning how public data is helping to level the playing field for businesses.
Cooperative efforts can help reduce the spread and risk of the virus, and this session will show how public data and Google Cloud and COVID-19 public datasets are helping to combat the pandemic and guiding individual decision-making.
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