Evolutionary and epidemic dynamics of COVID-19 in Germany exemplified by three Bayesian phylodynamic...
Evolutionary and epidemic dynamics of COVID-19 in Germany exemplified by three Bayesian phylodynamic case studies
About this item
Full title
Author / Creator
Publisher
United States: SAGE Publications
Journal title
Language
English
Formats
Publication information
Publisher
United States: SAGE Publications
More information
Scope and Contents
Contents
The importance of genomic surveillance strategies for pathogens has been particularly evident during the coronavirus disease 2019 (COVID-19) pandemic, as genomic data from the causative agent, severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), have guided public health decisions worldwide. Bayesian phylodynamic inference, integratin...
Alternative Titles
Full title
Evolutionary and epidemic dynamics of COVID-19 in Germany exemplified by three Bayesian phylodynamic case studies
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_bd936ec9460d4a3780d1823c49da8098
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bd936ec9460d4a3780d1823c49da8098
Other Identifiers
ISSN
1177-9322
E-ISSN
1177-9322
DOI
10.1177/11779322251321065