Genomic Characterization of Emerging SARS-CoV-2: A Systematic Review

Abstract

Introduction:: Severe Acute Respiratory Syndrome Coronavirus – 2, SARS-CoV-2, is a well-known virus for its fatal infectivity and widespread impact on the health of the worldwide population. Genome sequencing is critical in understanding the virus’s behavior, origin, and genetic variants. This article conducts an extensive literature review on the SARS-CoV-2 genome, including its Genome Structure, Genome Analysis, Evolution, Mutation, and, Genome Computation. It highlights the summary of clinical and evolutionary research along with the applicability of computational methods in the areas. It lucidly presents the structural detail and mutation analysis of SARS-CoV-2 without overwhelming the readers with difficult terms. In the pandemic, machine learning and deep learning emerged as a paradigm change, that when combined with genome analysis, enabled more precise identification and prognosis of the virus's impact. Molecular detailing is crucial in extracting features from the SARS-CoV-2 genome before computation models are applied. Method:: Further, in this systematic study we investigate the usage of Machine Learning and Deep Learning models mapped to SARS-CoV-2 genome samples to see their applicability in virus detection and disease severity prediction. We searched research articles from various reputed journals explaining the structure, evolution, mutations, and computational methods published until June 2022. Result:: The paper summarizes significant trends in the research of SARS-COV-2 genomes. Furthermore, this research also identifies the limitations and research gaps that yet have to be explored more and indicates future directions. Impact Statement: There are few review articles on the SARS-CoV-2 genome; these reviews target various aspects of the SARS-COV2 genome individually. This article considers all the aspects simultaneously and provides in-depth knowledge about the SARS-CoV-2 genome. Conclusion:: This article provides a detailed description about the type of samples, volumes of selection, processes, and tools used by various researchers in their studies. Further, the computational techniques applied to the SARS-COV2 genome are also discussed and analysed thoroughly.

Computational Nonlinear Dynamics: Analysis and Assessment in Optimal Control of COVID-19 in Akwa Ibom State, Nigeria

“…COVID-19 has been likened to Severe Acute Respiratory Syndrome Coronavirus-2 (acronym SARS-CoV-2), and Middle East Respiratory Syndrome (MERS-COVs) [1]. In a micro-scale, it can be visualized as an enclosed nucleolytic viruse and characterized by club-like spikes from its extended surface, with special mechanism for mutation and replication with RNA genomic features [2]. Recently, a new variant of the virus emerged as omicron, EG.5 and other variants of Interests (VOIs).…”