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Statistical and mathematical modeling in the coronavirus epidemic: some considerations to minimize biases in the results

Published Print: 2020-09

Authors

Matabuena, Marcos

Padilla, Oscar Hernan Madrid

Gonzalez-Barcala, Francisco-Javier
Funding

Funding for this research was provided by:

European Regional Development Fund

Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia (2019–2022 ED431G-2019/04)
License Information

Text and Data Mining valid from 2020-09-01

Text and Data Mining valid from 2020-09-01
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This article is maintained by: Elsevier

Article Title: Statistical and mathematical modeling in the coronavirus epidemic: some considerations to minimize biases in the results

Journal Title: Archivos de Bronconeumología (English Edition)

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.arbr.2020.04.006

CrossRef DOI link to the associated document: https://doi.org/10.1016/j.arbres.2020.04.022

Content Type: simple-article

Copyright: © 2020 SEPAR. Published by Elsevier España, S.L.U. All rights reserved.

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