Corrigendum: Detection of COVID-19 epidemic outbreak using machine learning

Giphil Cho; Jeong Rye Park; Yongin Choi; Hyeonjeong Ahn; Hyojung Lee

doi:10.3389/fpubh.2024.1381284

Corrigendum: Detection of COVID-19 epidemic outbreak using machine learning

Front Public Health. 2024 Feb 22:12:1381284. doi: 10.3389/fpubh.2024.1381284. eCollection 2024.

Authors

Giphil Cho^#¹, Jeong Rye Park^#², Yongin Choi³, Hyeonjeong Ahn⁴, Hyojung Lee⁴

Affiliations

¹ Department of Artificial Intelligence and Software, Kangwon National University, Samcheok-si, Republic of Korea.
² Department of Mathematics, Kyungpook National University, Daegu, Republic of Korea.
³ Busan Center for Medical Mathematics, National Institute for Mathematical Sciences, Daejeon, Republic of Korea.
⁴ Department of Statistics, Kyungpook National University, Daegu, Republic of Korea.

^# Contributed equally.

Abstract

[This corrects the article DOI: 10.3389/fpubh.2023.1252357.].

Keywords: COVID-19; early detection; machine learning; outbreak; prediction.

Publication types

Published Erratum

Grants and funding

HL was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. NRF-2022R1C1C1006237, NRF-2022R1A5A1033624, RS-2023-00227944). GC was supported by an NRF grant funded by the Korean government (No. NRF-2020R1C1C1A01012557). JP was supported by an NRF grant funded by the Korean government (No. NRF- 2021R1I1A1A01057767). YC was supported by a National Institute for Mathematical Sciences (NIMS) grant funded by the Korean government (MSIT) (No. B23820000).