Affiliation:
1. Respiratory Diseases Branch, Centers for Disease Control and Prevention , Atlanta, Georgia , USA
Abstract
Abstract
Background
Group A streptococci (GAS), although usually responsible for mild infections, can sometimes spread into normally sterile sites and cause invasive GAS disease (iGAS). Because both the risk of iGAS disease and occurrence of outbreaks are elevated within certain communities, such as those comprising people who inject drugs (PWID) and people experiencing homelessness (PEH), understanding the transmission dynamics of GAS is of major relevance to public health.
Methods
We used a cluster detection tool to scan genomes of 7552 Streptococcus pyogenes isolates acquired through the population-based Active Bacterial Core surveillance (ABCs) during 2015–2018 to identify genomically related clusters representing previously unidentified iGAS outbreaks.
Results
We found that 64.6% of invasive isolates were included within clusters of at least 4 temporally related isolates. Calculating a cluster odds ratio (COR) for each emm type revealed that types vary widely in their propensity to form transmission clusters. By incorporating additional epidemiological metadata for each isolate, we found that emm types with a higher proportion of cases occurring among PEH and PWID were associated with higher CORs. Higher CORs were also correlated with emm types that are less geographically dispersed.
Conclusions
Early identification of clusters with implementation of outbreak control measures could result in significant reduction of iGAS.
Funder
Centers for Disease Control and Prevention
Publisher
Oxford University Press (OUP)
Subject
Infectious Diseases,Immunology and Allergy
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