Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

A Coadunation of Biological and Mathematical Perspectives on the Pandemic COVID-19: A Review

Version 1 : Received: 30 March 2020 / Approved: 1 April 2020 / Online: 1 April 2020 (09:30:00 CEST)

How to cite: Qazi, S.; Sheikh, K.; Faheem, M.; Khan, A.; Raza, K. A Coadunation of Biological and Mathematical Perspectives on the Pandemic COVID-19: A Review. Preprints 2020, 2020040007 (doi: 10.20944/preprints202004.0007.v1). Qazi, S.; Sheikh, K.; Faheem, M.; Khan, A.; Raza, K. A Coadunation of Biological and Mathematical Perspectives on the Pandemic COVID-19: A Review. Preprints 2020, 2020040007 (doi: 10.20944/preprints202004.0007.v1).

Abstract

Coronaviruse disease (COVID-19) outbreak has created an emergency globally, and social distancing and isolation is the only solution to prevent its spread. Several countries have announced fully locked on to tackle this pandemic. The recent COVID-2019 has shaken the globe with incidence cases of more than half-million cases, and a mortality toll of more than twenty thousand to date. The coronavirus family is inclusive of pathogen of both – animal species and humans, encapsulating the isolated severe acute respiratory syndrome coronavirus (SARS-CoV). Researchers round the globe have been dexterously working to decode this lethal virus. Many mathematical frameworks have also been depicted which have helped to understand the dynamics of the COVID-19. Research on coronaviruses continues to explore various aspects of viral replication and pathogenesis to understanding the predilection of these viruses to switch between species, to develop an infection in a new host, and to identify significant reservoirs of coronaviruses will dramatically aid in our potential to prophesize when and where potential epidemics may occur. Many of the non-structural and accessory proteins encoded by the viruses remain unclear and unknown. This systematic review highlights the current situation of the pandemic, virus genomic composition, pathogenesis, symptomatology, diagnosis, and prognosis along with mathematical models of disease transmission and dynamics.

Subject Areas

nCov-19, COVID-19, coronavirus, SARS-CoV

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