CLINICAL LABORATORY PARAMETERS AND COMORBIDITIES ASSOCIATED WITH SEVERITY OF CORONAVIRUS DISEASE 2019(COVID-19) IN PULWAMA REGION JAMMU AND KASHMIR

CLINICAL LABORATORY PARAMETERS AND COMORBIDITIES ASSOCIATED WITH SEVERITY OF CORONAVIRUS DISEASE 2019(COVID-19) IN PULWAMA REGION JAMMU AND KASHMIR

Sheikh Junaid Ul Islam ,1 Balwinder kaur2, Seema Rani3,

1.                       PG Student at Desh bhagt university Mandigobindagrah School of paramedical sciences.

2.                       Assistant professor at Desh bhagt university Mandigobindagrah School of paramedical sciences.

3.                       Assistant professor at Desh bhagt university Mandigobindagrah School of paramedical sciences

Abstract
The COVID-19 pandemic, caused by the coronavirus, rapidly spread worldwide. Assessing the severity of the illness can be facilitated by considering various laboratory markers and comorbidities. Early detection of disease progression in severe COVID-19 cases is crucial for effective patient triaging. Our research focused on examining the characteristics, significance, and purpose of laboratory results and comorbidities regarding the severity and progression of COVID-19 in individuals. The study was conducted between early January and mid-April 2022, involving 31 individuals who provided blood samples and clinical information at the District Hospital in Pulwama, Jammu, and Kashmir. Various biological indicators, including total blood count, ESR, CBC, D-dimer, CRP, serum ferritin, SpO2, blood sugar, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP), were analyzedin this experiment.

KEY –TERMS In the realm of analyzing patient data related to the unique coronavirus in India, various terms come into play, such as data science, data analysis, predictions, trend analysis, forecasting, data mining, network analysis, pattern mining, rule mining, classification, cluster analysis, lockdown, social Distancing, and degree centrality