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Long COVID: a review and proposed visualization of the complexity of long COVID
Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus – 2 (SARS-CoV-2) infection, or Long COVID, is a prevailing second pandemic with nearly 100 million affected individuals globally and counting. We propose a visual description of the complexity of Long COVID and its pathogenesis tha...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157068/ https://www.ncbi.nlm.nih.gov/pubmed/37153597 http://dx.doi.org/10.3389/fimmu.2023.1117464 |
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author | Perumal, Rubeshan Shunmugam, Letitia Naidoo, Kogieleum Abdool Karim, Salim S. Wilkins, Dave Garzino-Demo, Alfredo Brechot, Christian Parthasarathy, Sairam Vahlne, Anders Nikolich, Janko Ž. |
author_facet | Perumal, Rubeshan Shunmugam, Letitia Naidoo, Kogieleum Abdool Karim, Salim S. Wilkins, Dave Garzino-Demo, Alfredo Brechot, Christian Parthasarathy, Sairam Vahlne, Anders Nikolich, Janko Ž. |
author_sort | Perumal, Rubeshan |
collection | PubMed |
description | Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus – 2 (SARS-CoV-2) infection, or Long COVID, is a prevailing second pandemic with nearly 100 million affected individuals globally and counting. We propose a visual description of the complexity of Long COVID and its pathogenesis that can be used by researchers, clinicians, and public health officials to guide the global effort toward an improved understanding of Long COVID and the eventual mechanism-based provision of care to afflicted patients. The proposed visualization or framework for Long COVID should be an evidence-based, dynamic, modular, and systems-level approach to the condition. Furthermore, with further research such a framework could establish the strength of the relationships between pre-existing conditions (or risk factors), biological mechanisms, and resulting clinical phenotypes and outcomes of Long COVID. Notwithstanding the significant contribution that disparities in access to care and social determinants of health have on outcomes and disease course of long COVID, our model focuses primarily on biological mechanisms. Accordingly, the proposed visualization sets out to guide scientific, clinical, and public health efforts to better understand and abrogate the health burden imposed by long COVID. |
format | Online Article Text |
id | pubmed-10157068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101570682023-05-05 Long COVID: a review and proposed visualization of the complexity of long COVID Perumal, Rubeshan Shunmugam, Letitia Naidoo, Kogieleum Abdool Karim, Salim S. Wilkins, Dave Garzino-Demo, Alfredo Brechot, Christian Parthasarathy, Sairam Vahlne, Anders Nikolich, Janko Ž. Front Immunol Immunology Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus – 2 (SARS-CoV-2) infection, or Long COVID, is a prevailing second pandemic with nearly 100 million affected individuals globally and counting. We propose a visual description of the complexity of Long COVID and its pathogenesis that can be used by researchers, clinicians, and public health officials to guide the global effort toward an improved understanding of Long COVID and the eventual mechanism-based provision of care to afflicted patients. The proposed visualization or framework for Long COVID should be an evidence-based, dynamic, modular, and systems-level approach to the condition. Furthermore, with further research such a framework could establish the strength of the relationships between pre-existing conditions (or risk factors), biological mechanisms, and resulting clinical phenotypes and outcomes of Long COVID. Notwithstanding the significant contribution that disparities in access to care and social determinants of health have on outcomes and disease course of long COVID, our model focuses primarily on biological mechanisms. Accordingly, the proposed visualization sets out to guide scientific, clinical, and public health efforts to better understand and abrogate the health burden imposed by long COVID. Frontiers Media S.A. 2023-04-20 /pmc/articles/PMC10157068/ /pubmed/37153597 http://dx.doi.org/10.3389/fimmu.2023.1117464 Text en Copyright © 2023 Perumal, Shunmugam, Naidoo, Abdool Karim, Wilkins, Garzino-Demo, Brechot, Parthasarathy, Vahlne and Nikolich https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Immunology Perumal, Rubeshan Shunmugam, Letitia Naidoo, Kogieleum Abdool Karim, Salim S. Wilkins, Dave Garzino-Demo, Alfredo Brechot, Christian Parthasarathy, Sairam Vahlne, Anders Nikolich, Janko Ž. Long COVID: a review and proposed visualization of the complexity of long COVID |
title | Long COVID: a review and proposed visualization of the complexity of long COVID |
title_full | Long COVID: a review and proposed visualization of the complexity of long COVID |
title_fullStr | Long COVID: a review and proposed visualization of the complexity of long COVID |
title_full_unstemmed | Long COVID: a review and proposed visualization of the complexity of long COVID |
title_short | Long COVID: a review and proposed visualization of the complexity of long COVID |
title_sort | long covid: a review and proposed visualization of the complexity of long covid |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157068/ https://www.ncbi.nlm.nih.gov/pubmed/37153597 http://dx.doi.org/10.3389/fimmu.2023.1117464 |
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