MATHEMATICS OF COVID-19 IN INDIA AND THEIR POSSIBLE CONTROL BY Allium sativum (L.)

SARS-CoV-2 belongs to the betacoronavirus genus. Betacoronaviruses infect mammals, are zoonotic pathogens, and can cause severe respiratory disease in human being. Till date there are no drugs or vaccine to control the infection of this pandemic disease. The present comprehensive review is therefore an effort to give detailed information about Allium sativum (Garlic) against nCoronavirus. The ayurveda and other traditional system of medicine in India described garlic and other medicinal herbs are used against various epidemics time-to-time. Alternatively, a number of literature noted that compounds extracted from garlic and other group of alliums such as allicin, diallytrisulfide, azoene and quercetin exhibit antiviral activity

A novel coronavirus (SARS-CoV-2): current status and challenges

In December, 2019 a new public health crisis threatened the world with the emergence of new zoonotic virus, the 2019 novel coronavirus. SARS-Cov-2 or severe acute respiratory syndrome coronavirus-2 belongs to the family of coronaviruses named for the crown-like spikes on its surfaces. SARS-CoV-2 causes COVID-19 (Coronavirus Disease-2019), a contagious viral infection that attacks primarily throat and lungs causing pneumonia-like symptoms. It is speculated that SARS-CoV-2 seem to have come from a bat, but the intermediate reservoir is still unknown. This review will address SARS-CoV-2 structure, clinical features, SARS-CoV-2 genome and its different variant, diagnosis, and treatment and also gives a bird's eye view on the epidemiology and pathology based on current evidence. DOI: http://dx.doi.org/10.5281/zenodo.656139

(R2022) Mathematical Modelling of Tuberculosis and COVID-19 Co-infection in India: A Real Data Analysis on Concomitant Diseases

In this paper, we have proposed an epidemiological model to study the dynamics of two concomitant diseases Tuberculosis (TB) and COVID-19. Here, we have formulated a deterministic compartmental model as an extended form of the classical SIS model. First, the basic reproduction number R0 is derived and then stability analysis of the model is done. It is observed that the disease-free equilibrium is stable when R0 is less than one and the endemic equilibrium is stable only when R0 is greater than one. Numerical simulation is carried out to illustrate the theoretical findings and to study the transmission dynamics of both the concomitant diseases during the first and second waves of COVID-19 in India