TY - JOUR
T1 - Long COVID
T2 - a review and proposed visualization of the complexity of long COVID
AU - Perumal, Rubeshan
AU - Shunmugam, Letitia
AU - Naidoo, Kogieleum
AU - Abdool Karim, Salim S.
AU - Wilkins, Dave
AU - Garzino-Demo, Alfredo
AU - Brechot, Christian
AU - Parthasarathy, Sairam
AU - Vahlne, Anders
AU - Nikolich, Janko
N1 - Publisher Copyright:
Copyright © 2023 Perumal, Shunmugam, Naidoo, Abdool Karim, Wilkins, Garzino-Demo, Brechot, Parthasarathy, Vahlne and Nikolich.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - COVID-19
KW - SARS-CoV-2
KW - long COVID
KW - long-haul COVID
KW - post-acute sequelae of SARS-CoV-2
UR - http://www.scopus.com/inward/record.url?scp=85158015467&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85158015467&partnerID=8YFLogxK
U2 - 10.3389/fimmu.2023.1117464
DO - 10.3389/fimmu.2023.1117464
M3 - Review article
C2 - 37153597
AN - SCOPUS:85158015467
SN - 1664-3224
VL - 14
JO - Frontiers in immunology
JF - Frontiers in immunology
M1 - 1117464
ER -