Starschema: COVID-19 Epidemiological Data

Daily unpivoted, analytics-ready data on COVID-19

Description:

COVID-19 is a respiratory syndrome associated with the coronavirus SARS-CoV-2 that was first detected in Hubei Province, PRC, in late 2019. By early 2020, the community spread of SARS-CoV-2 has been detected on all continents except Antarctica, with the WHO declaring it a pandemic on 11 March 2020. This data set collates epidemiological data on the incidence and mortality of COVID-19 cases as reported by public health authorities worldwide.

Samples/tables included:

Case count data by locality and case type

Fields Included:

Country/Region (ISO-3166-1 level)
Province/State (ISO-3166-2 level)
County
FIPS
Date
Case type (one of: confirmed, deaths, recovered, active)
Case count
Latitude
Longitude
Difference (since last measurement in the same area in the same case type)
Last update

EXAMPLE USE CASE
The availability of data on the prevalence of COVID-19 by time and geographical area enables the democratization of contingency planning and disaster response. Businesses and individuals can use this data to examine a single source of truth regarding the coronavirus outbreak, assess contingency plans and make informed, data-driven decisions in view of the global health emergency.

Update Frequency:

Daily

About the Provider:

At Starschema we believe that data has the power to change the world and data-driven organizations are leading the way. We help organizations use data to make better business decisions, build smarter products, and deliver more value for their customers, employees and investors. We dig into our customers’ toughest business problems, design solutions and build the technology needed to compete and profit in a data-driven world.

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