“Won’t get fooled again”: statistical fault detection in COVID-19 Latin American data

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 reliability in...

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Detalles Bibliográficos
Autores principales: Figueiredo Filho, Dalson, Silva, Lucas, Medeiros, Hugo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756688/
https://www.ncbi.nlm.nih.gov/pubmed/36527071
http://dx.doi.org/10.1186/s12992-022-00899-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756688/
https://www.ncbi.nlm.nih.gov/pubmed/36527071
http://dx.doi.org/10.1186/s12992-022-00899-1

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