Melwani, R.; Noru, K.; Kondapalli, S.; Ravi, A.; Shah, S.; Setty, S.; Sastry, S.; Jahanikia, S. Characterization and Severity Assessment of Post-Acute Sequelae of SARS-
CoV-2 (PASC). Preprints2024, 2024102119. https://doi.org/10.20944/preprints202410.2119.v1
APA Style
Melwani, R., Noru, K., Kondapalli, S., Ravi, A., Shah, S., Setty, S., Sastry, S., & Jahanikia, S. (2024). Characterization and Severity Assessment of Post-Acute Sequelae of SARS-
CoV-2 (PASC). Preprints. https://doi.org/10.20944/preprints202410.2119.v1
Chicago/Turabian Style
Melwani, R., Shashank Sastry and Sahar Jahanikia. 2024 "Characterization and Severity Assessment of Post-Acute Sequelae of SARS-
CoV-2 (PASC)" Preprints. https://doi.org/10.20944/preprints202410.2119.v1
Abstract
The SARS-CoV-2 virus, responsible for the COVID-19 pandemic, has impacted the health of millions globally, with many individuals experiencing persistent symptoms even after testing negative, a condition known as Post-acute Sequelae of SARS-CoV-2 infection (PASC), or “Long COVID”. This study analyzes demographic influences on the severity and timeline of PASC symptoms, with emphasis on physiological and cognitive effects. Using a self-reporting survey method, data was collected from a sample of 110 participants (n=110) and analyzed using techniques such as Exploratory Factor Analysis (EFA), Pearson Correlation, and Two-Factor ANOVA Test. Based on the study, females generally reported higher severity for cognitive and physiological symptoms compared to males, and symptom severity was generally lower among vaccinated individuals. Correlation analysis revealed a significant relationship between depression and cognitive impairments, underscoring the psychological impact of PASC. This study emphasizes the complexity of PASC, demonstrating how demographic characteristics such as age, sex, and vaccination status influence the severity and duration of symptoms, contributing to the growing understanding of PASC. Further research should consider SARS-CoV-2 variant-specific impacts and broader population samples.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
