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Evolutionary and spatiotemporal analyses reveal multiple introductions and cryptic transmission of SARS-CoV-2 VOC/VOI in Malta
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 evolution...
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Published in: | Microbiology spectrum 2023-12, Vol.11 (6), p.e0153923-e0153923 |
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container_title | Microbiology spectrum |
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creator | 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 |
description | 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. |
doi_str_mv | 10.1128/spectrum.01539-23 |
format | article |
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source | American Society for Microbiology; Open Access: PubMed Central |
subjects | Epidemiology next-generation sequencing phylodynamics Research Article SARS-CoV-2 |
title | Evolutionary and spatiotemporal analyses reveal multiple introductions and cryptic transmission of SARS-CoV-2 VOC/VOI in Malta |
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