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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
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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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 |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-7814856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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