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Evolutionary and spatiotemporal analyses reveal multiple introductions and cryptic transmission of SARS-CoV-2 VOC/VOI in Malta.
Trovao, Nidia S; Pan, Vincent; Goel, Chirag; Gallego-García, Pilar; Liu, Yunxi; Barbara, Christopher; Borg, Rebecca; Briffa, Mark; Cilia, Chanelle; Grech, Laura; Vassallo, Mario; Treangen, Todd J; Posada, David; Beheshti, Afshin; Borg, Joseph; Zahra, Graziella.
Afiliação
  • Trovao NS; Fogarty International Center, National Institutes of Health , Bethesda, Maryland, USA.
  • Pan V; COVID-19 International Research Team , Medford, Massachusetts, USA.
  • Goel C; Fogarty International Center, National Institutes of Health , Bethesda, Maryland, USA.
  • Gallego-García P; Harvard University , Cambridge, Massachusetts, USA.
  • Liu Y; COVID-19 International Research Team , Medford, Massachusetts, USA.
  • Barbara C; Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA.
  • Borg R; CINBIO, Universidade de Vigo , Vigo, Spain.
  • Briffa M; Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO , Vigo, Spain.
  • Cilia C; Department of Computer Science, Rice University , Houston, Texas, USA.
  • Grech L; Molecular Diagnostics-Infectious Diseases, Department of Pathology, Mater Dei Hospital , Msida, Malta.
  • Vassallo M; Molecular Diagnostics-Infectious Diseases, Department of Pathology, Mater Dei Hospital , Msida, Malta.
  • Treangen TJ; Molecular Diagnostics-Infectious Diseases, Department of Pathology, Mater Dei Hospital , Msida, Malta.
  • Posada D; Molecular Diagnostics-Infectious Diseases, Department of Pathology, Mater Dei Hospital , Msida, Malta.
  • Beheshti A; Molecular Diagnostics-Infectious Diseases, Department of Pathology, Mater Dei Hospital , Msida, Malta.
  • Borg J; Department of Sociology, Faculty of Arts, University of Malta , Msida, Malta.
  • Zahra G; Department of Computer Science, Rice University , Houston, Texas, USA.
Microbiol Spectr ; 11(6): e0153923, 2023 Dec 12.
Article em En | MEDLINE | ID: mdl-37800925
ABSTRACT
IMPORTANCE Our study provides insights into the evolution of the coronavirus disease 2019 (COVID-19) pandemic in Malta, a highly connected and understudied country. We combined epidemiological and phylodynamic analyses to analyze trends in the number of new cases, deaths, tests, positivity rates, and evolutionary and dispersal patterns from August 2020 to January 2022. Our reconstructions inferred 173 independent severe acute respiratory syndrome coronavirus 2 introductions into Malta from various global regions. Our study demonstrates that characterizing epidemiological trends coupled with phylodynamic modeling can inform the implementation of public health interventions to help control COVID-19 transmission in the community.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Incidence_studies / Prognostic_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article