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Through the magnifying glass: Exploring aggregations of COVID ‐19 datasets by county, state, and taxonomies of U.S. regions
Author(s) -
Cheng YiYun,
Ludäscher Bertram
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.355
Subject(s) - geospatial analysis , covid-19 , state (computer science) , quality (philosophy) , computer science , geography , biology , cartography , medicine , virology , physics , infectious disease (medical specialty) , disease , pathology , algorithm , outbreak , quantum mechanics
In this preliminary study, we investigate the case of COVID‐19 United States confirmed cases datasets, and perform experiments with aggregations of data by county, state, and different taxonomies for U.S. regions. The overarching goals of this study is to uncover potential data quality issues due to different levels of geospatial aggregation of data.