Details

Autor(en) / Beteiligte

• Yaglom, Hayley D
• Bhattarai, Rachana
• Lemmer, Darrin
• Rust, Laura
• Ridenour, Chase
• Chorbi, Kaitlyn
• Kim, Elizabeth
• Centner, Heather
• Sheridan, Krystal
• Jasso-Selles, Daniel
• Erickson, Daryn E
• French, Chris
• Bowers, Jolene R
• Valentine, Michael
• Francis, Drew
• Hepp, Crystal M
• Brady, Shane
• Komatsu, Kenneth K
• Engelthaler, David M

Titel

Large Clusters of Invasive emm49 Group A Streptococcus Identified Within Arizona Health Care Facilities Through Statewide Genomic Surveillance System, 2019–2021

Ist Teil von

• The Journal of infectious diseases, 2024-09, Vol.230 (3), p.598-605

Ort / Verlag

US: Oxford University Press

Erscheinungsjahr

2024

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• Abstract A statewide genomic surveillance system for invasive Group A Streptococcus was implemented in Arizona in June 2019, resulting in 1046 isolates being submitted for genomic analysis to characterize emm types and identify transmission clusters. Eleven of the 32 identified distinct emm types comprised >80% of samples, with 29.7% of all isolates being typed as emm49 (and its genetic derivative emm151). Phylogenetic analysis initially identified an emm49 genomic cluster of 4 isolates that rapidly expanded over subsequent months (June 2019 to February 2020). Public health investigations identified epidemiologic links with 3 different long-term care facilities, resulting in specific interventions. Unbiased genomic surveillance allowed for identification and response to clusters that would have otherwise remained undetected. Implementation of a statewide genomic surveillance system for invasive group A Streptococcus led to the early identification and investigation of a rapidly growing and prolonged outbreak of emm49 linked to several health care settings across Arizona.