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Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning

Detalles Bibliográficos
Autores principales: Nooripour, Roghieh, Hosseinian, Simin, Hussain, Abir Jaafar, Annabestani, Mohsen, Maadal, Ameer, Radwin, Laurel, Hassani-Abharian, Peyman, Ghanbari, Nikzad, Khoshkonesh, Abolghasem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814856/
https://www.ncbi.nlm.nih.gov/pubmed/33464433
http://dx.doi.org/10.1007/s10943-021-01180-2
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author Nooripour, Roghieh
Hosseinian, Simin
Hussain, Abir Jaafar
Annabestani, Mohsen
Maadal, Ameer
Radwin, Laurel
Hassani-Abharian, Peyman
Ghanbari, Nikzad
Khoshkonesh, Abolghasem
author_facet Nooripour, Roghieh
Hosseinian, Simin
Hussain, Abir Jaafar
Annabestani, Mohsen
Maadal, Ameer
Radwin, Laurel
Hassani-Abharian, Peyman
Ghanbari, Nikzad
Khoshkonesh, Abolghasem
author_sort Nooripour, Roghieh
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spelling pubmed-78148562021-01-21 Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning Nooripour, Roghieh Hosseinian, Simin Hussain, Abir Jaafar Annabestani, Mohsen Maadal, Ameer Radwin, Laurel Hassani-Abharian, Peyman Ghanbari, Nikzad Khoshkonesh, Abolghasem J Relig Health Correction Springer US 2021-01-19 2021 /pmc/articles/PMC7814856/ /pubmed/33464433 http://dx.doi.org/10.1007/s10943-021-01180-2 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Correction
Nooripour, Roghieh
Hosseinian, Simin
Hussain, Abir Jaafar
Annabestani, Mohsen
Maadal, Ameer
Radwin, Laurel
Hassani-Abharian, Peyman
Ghanbari, Nikzad
Khoshkonesh, Abolghasem
Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_full Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_fullStr Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_full_unstemmed Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_short Correction to: How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_sort correction to: how resiliency and hope can predict stress of covid-19 by mediating role of spiritual well-being based on machine learning
topic Correction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814856/
https://www.ncbi.nlm.nih.gov/pubmed/33464433
http://dx.doi.org/10.1007/s10943-021-01180-2
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