Correction: A COVID-19 prediction Model based on symptomatology google trends and its optimization - Takeaways - MDSpire

Correction: A COVID-19 prediction Model based on symptomatology google trends and its optimization

  • By

  • Yuanchi Ma

  • Kunpeng Lyu

  • Haitao Xu

  • Chuanyu Jiao

  • Letian Ren

  • Hui Lyu

  • Aling Zhang

  • Yeye Yang

  • Zhimin Li

  • Kang Zhu

  • Xiaoyong Ren

  • Jingguo Chen

  • June 29, 2026

  • 0 min

Share

  • 1

    The article is a correction published in BMC Infectious Diseases regarding author order.

  • 2

    The initial author order was incorrectly listed in the original publication.

  • 3

    The corrected author order is now accurately reflected in the article.

  • 4

    The correction affects the attribution of contributions among the authors.

  • 5

    The original article has been officially corrected to reflect these changes.

Original Source(s)

Correction: A COVID-19 prediction Model based on symptomatology google trends and its optimization

  • by Yuanchi Ma, Kunpeng Lyu, Haitao Xu, Chuanyu Jiao, Letian Ren, Hui Lyu, Aling Zhang, Yeye Yang, Zhimin Li, Kang Zhu, Xiaoyong Ren, Jingguo Chen

  • June 29, 2026

Related Content

Impact of the COVID-19 pandemic on hepatitis C care across the cascade of care: a scoping review

Common and rare variants in complement genes as biomarkers of COVID-19 infection and severity. A lesson to learn for emerging pathogens

Association between perfluoroalkyl and polyfluoroalkyl substances and response to the COVID-19 vaccine in a paediatric prospective observational cohort in Arizona