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COMPARISON OF INFLAMMATORY MARKERS BETWEEN COVID VACCINATED POPULATION AND NATURALLY INFECTED POPULATION

Name: COMPARISON OF INFLAMMATORY MARKERS BETWEEN COVID VACCINATED POPULATION AND NATURALLY INFECTED POPULATION
Creator: Sikha Rani Medhi, Ankita Paul
Keywords: Coronavirus COVID-19 SARS-CoV-2 Inflammation Infection Anti-Inflammatory Nutrition, 3. Good health

descriptionPublicationkeyboard_double_arrow_right Article 24 Nov 2022Publisher:Zenodo

Authors: Sikha Rani Medhi, Ankita Paul;

doi: 10.5281/zenodo.7398505 , 10.5281/zenodo.7398504

COMPARISON OF INFLAMMATORY MARKERS BETWEEN COVID VACCINATED POPULATION AND NATURALLY INFECTED POPULATION

- Summary
- Subjects
- Metrics

Abstract

The 2019 coronavirus disease (COVID-19) pandemic poses formidable obstacles in the fields of medicine, science, and public health. SARS-CoV-2 is a coronavirus that causes severe acute respiratory syndrome and may spread fast, with potentially fatal consequences. Establishing reliable laboratory biomarkers capable of risk-based patient classification is crucial for ensuring timely therapy. The study focuses on the problems of the COVIDâ€19 vaccine and multisystem inflammatory syndrome. Multi-organ failure in patients with severe COVID-19 consequences is mostly caused by systemic vasculitis and cytokine-mediated coagulation abnormalities, as shown by a review of recently published data. In addition, the study examines biomarkers associated with COVID-19 disease progression. Lastly, the study focuses on Pro-Inflammatory Cytokines (Il-1 and Il-6) And Lung Inflammation by Coronavirus-19 and its Anti-Inflammatory Strategies.

Keywords

Coronavirus COVID-19 SARS-CoV-2 Inflammation Infection Anti-Inflammatory Nutrition

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average