"Won't get fooled again": statistical fault detection in COVID-19 Latin American data
Abstract Background Claims of inconsistency in epidemiological data have emerged for both developed and developing countries during the COVID-19 pandemic. Methods In this paper, we apply first-digit Newcomb-Benford Law (NBL) and Kullback-Leibler Divergence (KLD) to evaluate COVID-19 records reliabil...
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| Main Authors: | , , |
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| Format: | Book |
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BMC,
2022-12-01T00:00:00Z.
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A1234.567 |
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