A Stochastic Characterization of Omicron Variant of SARS-CoV 2 Virus

Jesús E. García () and V. A. González-López ()
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Jesús E. García: University of Campinas, Department of Statistics
V. A. González-López: University of Campinas, Department of Statistics

Chapter Chapter 8 in Quantitative Demography and Health Estimates, 2023, pp 91-104 from Springer

Abstract: Abstract In this paper, we consider a BIC-based metric introduced in Garc ı́a et al. (Appl Stoch Models Business Ind 34(6):868–878, 2018) to compare genomic records in Fasta format of sequences of SARS CoV 2, Omicron variant. We explore three subtypes: BA.1, BA.2, and BA.3. The dendrogram, built from the metric, points us that the subtypes are detected by the BIC-based notion, conforming clusters splitting into the subtypes. In a closer analysis, we explore through a BIC-based sorter, introduced in Fernández et al. (Math Methods Appl Sci 43(13):7537–7549, 2020), each subtype and the whole set identifying the sequences which are more representative of the set of sequences and least representative of the set of sequences. This analysis allows explaining the positions of the sequences in the whole comparison (dendrograms). We also implement a global comparison between the subtypes using the BIC-based metric, which shows that there are more similarities between BA.2 and BA.3, followed by BA.1 and BA.3, and the discrepancy is more marked between BA.1 and BA.2.

Keywords: Partition Markov models; Metric between processes; Bayesian Information Criterion (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-031-28697-1_8

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DOI: 10.1007/978-3-031-28697-1_8

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