{"url":"/dataset/covid19-algeria-and-world-dataset","name":"COVID19-Algeria-and-World-Dataset","full_name":null,"description_markdown":"A coronavirus dataset with 98 countries constructed from different reliable sources, where each row represents a country, and the columns represent geographic, climate, healthcare, economic, and demographic factors that may contribute to accelerate/slow the spread of the COVID-19. The assumptions for the different factors are as follows:\n\nSource: [https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset](https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset)\nImage Source: [https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset](https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset)","description_withheld":null,"homepage":"https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/covid-19-data-analysis-and-forecasting","title":"COVID-19 Data Analysis and Forecasting: Algeria and the World","first_author":"Sami Belkacem","url":null},"license":null,"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[],"languages":[],"variants":["COVID19-Algeria-and-World-Dataset"],"data_loaders":[{"repo":"https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset","url":"https://github.com/SamBelkacem/COVID19-Algeria-and-World-Dataset","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}