Demographic and statistical study of covid-19: Transmission and drug susceptibility pattern in India

Abstract

Corona virus is a novel virus, causes severe acute
respiratory syndrome (SARS) and spreading worldwide from
person to person via communicable disease. It was first identified
in the Wuhan City, Hubei Province, China in December 2019
hence it got the name COVID-19. In India, COVID-19 cases are
reported severe as compared with other countries and it is
standing in second position in the world after United State of
America. The pathogenesis of COVID-19 is more risk in elder
age as compared to young ones due to immune response. The
pathogenesis of COVID-19 is recorded in three steps 1)
asymptomatic state, 2) upper airways and conducting airways
response and 3) hypoxia. The drugs viz., hydroxychloroquine,
paracetamol, and antibiotics are mostly used for the treatment of
SARS but no single drug is effective for disease. Hence, treatment
of this disease is required. In this review, the correlation of
confirmed and death cases due to COVID-19 in India and China
are analysed by statistical methods (one-way ANOVA and t
Test). This study will give a clear picture of COVID-19 disease
scenario and also helped in identifying and preventing the
disease.