Statistical vhallenges in tracking the evolution of SARS-CoV-2
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- dc.contributor.author Cappello, Lorenzo
- dc.contributor.author Kim, Jaehee
- dc.contributor.author Liu, Sifan
- dc.contributor.author Palacios, Julia A.
- dc.date.accessioned 2024-02-28T08:06:13Z
- dc.date.available 2024-02-28T08:06:13Z
- dc.date.issued 2022
- dc.description.abstract Genomic surveillance of SARS-CoV-2 has been instrumental in tracking the spread and evolution of the virus during the pandemic. The availability of SARS-CoV-2 molecular sequences isolated from infected individuals, coupled with phylodynamic methods, have provided insights into the origin of the virus, its evolutionary rate, the timing of introductions, the patterns of transmission, and the rise of novel variants that have spread through populations. Despite enormous global efforts of governments, laboratories, and researchers to collect and sequence molecular data, many challenges remain in analyzing and interpreting the data collected. Here, we describe the models and methods currently used to monitor the spread of SARS-CoV-2, discuss long-standing and new statistical challenges, and propose a method for tracking the rise of novel variants during the epidemic.
- dc.format.mimetype application/pdf
- dc.identifier.citation Cappello L, Kim J, Liu S, Palacios JA. Statistical challenges in tracking the evolution of SARS-CoV-2. Statistical Science. 2022;37(2):162-82. DOI: 10.1214/22-sts853
- dc.identifier.doi http://dx.doi.org/10.1214/22-sts853
- dc.identifier.issn 0883-4237
- dc.identifier.uri http://hdl.handle.net/10230/59279
- dc.language.iso eng
- dc.publisher Institute of Mathematical Statistics
- dc.relation.ispartof Statistical Science. 2022;37(2):162-82.
- dc.rights © Institute of Mathematical Statistics, 2022
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Bayesian nonparametrics
- dc.subject.keyword birth-death processes
- dc.subject.keyword Coalescent
- dc.subject.keyword genetic epidemiology
- dc.subject.keyword phylodynamics
- dc.subject.keyword SIR models
- dc.title Statistical vhallenges in tracking the evolution of SARS-CoV-2
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion