Influence of Co-morbidities During SARS-CoV-2 Infection in an Indian Population.

ABSTRACT:

Background

Since the outbreak of COVID-19 pandemic the interindividual variability in the course of the disease has been reported, indicating a wide range of factors influencing it. Factors which were the most often associated with increased COVID-19 severity include higher age, obesity and diabetes. The influence of cytokine storm is complex, reflecting the complexity of the immunological processes triggered by SARS-CoV-2 infection. A modern challenge such as a worldwide pandemic requires modern solutions, which in this case is harnessing the machine learning for the purpose of analysing the differences in the clinical properties of the populations affected by the disease, followed by grading its significance, consequently leading to creation of tool applicable for assessing the i

SUBMITTER: Matysek A 

PROVIDER: S-EPMC9377050 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature