2 compares the coverage with other datasets. Figure 1 shows a coverage map of our epidemiological data and Fig. For 62 of these countries we have state-level data (admin level 1 regions), and for 23 of these countries we have county-level data (admin level 2 regions). At the time of writing, this is the world’s largest “meta-dataset” (collection of independent datasets) of COVID-related data in terms of number of locations, variables and timespan covered containing epidemiological information from 22,579 unique locations across 232 different countries and independent territories. A static copy is of the dataset is also available at figshare 2. In this paper, we introduce the COVID-19 Open Dataset (COD), available at goo.gle/covid-19-open-data. Epidemiological data must be combined with other relevant factors, such as mobility, government interventions, and demographics, in order to try to understand (and control) its spread. Unravelling these effects requires studying the epidemiological outcomes in as many diverse locations as possible, and identifying common patterns. Although our understanding of COVID-19 and its effects has greatly improved over the last year, there is still much that we do not understand about why the spread of the disease varies so dramatically in different places. The health crisis has affected the society and economy of virtually every nation worldwide in ways that might take years to recover from. SARS-CoV-2, the causative agent of the disease known as COVID-19, was identified as a novel coronavirus starting on Januand subsequently declared a pandemic by the World Health Organization (WHO) on Ma1. This paper describes the format and construction of the dataset, and includes a preliminary statistical analysis of its content, revealing some interesting patterns. The data is automatically extracted from 121 different authoritative sources, using scalable open source software. Each location is tagged with a unique identifier so that these different types of information can be easily combined. COD also contains information on hospitalizations, vaccinations, and other relevant factors such as mobility, non-pharmaceutical interventions and static demographic attributes. For 15 countries, COD includes cases and deaths stratified by age or sex. For 62 of these countries we have state-level data, and for 23 of these countries we have county-level data. This is a very large “meta-dataset” of COVID-related data, containing epidemiological information, from 22,579 unique locations within 232 different countries and independent territories. A static copy is of the dataset is also available at. This paper introduces the COVID-19 Open Dataset (COD), available at goo.gle/covid-19-open-data.
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