In the published article, an author name was incorrectly written as Geovane Ferreira Marques. The correct spelling is Geovane Marques-Ferreira.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: SARS-CoV-2, COVID-19, hematological and biochemical parameters, predictive biomarkers, machine learning
Citation: Lourenço AA, Amaral PHR, Paim AAO, Marques-Ferreira G, Gomes-de-Pontes L, da Mata CPSM, da Fonseca FG, Pérez JCG and Coelho-dos-Reis JGA (2024) Corrigendum: Algorithms for predicting COVID outcome using ready-to-use laboratorial and clinical data. Front. Public Health 12:1508116. doi: 10.3389/fpubh.2024.1508116
Received: 08 October 2024; Accepted: 30 October 2024;
Published: 19 November 2024.
Copyright © 2024 Lourenço, Amaral, Paim, Marques-Ferreira, Gomes-de-Pontes, da Mata, da Fonseca, Pérez and Coelho-dos-Reis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jordana Grazziela Alves Coelho-dos-Reis, jreis@icb.ufmg.br; Juan Carlos González Pérez, jcgonper@gmail.com
†These authors have contributed equally to this work and share first authorship
‡These authors have contributed equally to this work and share senior authorship
§These authors have contributed equally to this work and share last authorship
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