Healthcare-associated infections (HAIs) are infections that occur in a healthcare setting and are estimated to affect approximately 7% of patients in high-income countries and approximately 15% of patients in low - and middle-income countries in acute care hospitals. These infections, which are often caused by multidrug-resistant organisms, can lead to significant morbidity and mortality, increased healthcare costs, and regulatory noncompliance. Surveillance of HAIs is a core component of infection prevention and control programs, which serves to help identify outbreaks and transmission routes, guide infection prevention and control measures, and provide valuable data on the prevalence and distribution of specific pathogens and resistance patterns.1
As part of these surveillance efforts, genomics is unraveling key insights into the genetic makeup of pathogens and enabling more precise identification and tracking of outbreaks and transmission routes. Powered by next-generation sequencing (NGS), labs and clinics can perform genomic HAI-related studies at unprecedented speed and scalability using massively parallel workflows.
DNA sequencing is a powerful tool for identifying the specific microorganisms that cause HAIs and for characterizing their genetic makeup, including the presence of genes that confer resistance to antimicrobial drugs. This information can be used to track the spread of infections within healthcare facilities and to implement targeted infection control measures to prevent further transmission.
Read how researchers uncover antibiotic resistance genes in hospital wastewater to understand circulation of resistant bacteria into the environment.
With the growing threat of HAI, see how researchers are using NGS to track multi-drug resistant pathogens and its comparison to other methods in hospitals.
Read how whole-genome sequencing surveillance combined with machine learning for electronic health records (EHRs) can identify undetected outbreaks and transmission routes in this potentially field-changing report.
This application note outlines the comprehensive identification of pathogenic isolates using Illumina sequencing and the SRST2 BaseSpace app.Read application note
A fast, integrated workflow for a wide range of applications, from human whole-genome sequencing to amplicons, plasmids, and microbial species.
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Reports the presence of STs (sequence types) from a MLST database and/or reference genes from a sequence database of virulence genes, resistance genes, and plasmid replicons.
See how Illumina sequencing platforms are being used to detect Candida auris, a global health threat, at the Nevada State Health Lab to prevent trace transmission and prevent outbreaks.Read article
Learn how public health surveillance can be a vital tool for identifying infectious disease pathogens, variants, AMR and more.
Learn more about the importance of antimicrobial resistance detection and NGS-based solutions to characterize resistant microbes.
Explore how genomic surveillance with next-generation sequencing (NGS) can track infectious disease transmission and identify novel strains of coronavirus and other emerging pathogens.
See Illumina solutions for microbial whole-genome sequencing to analyze hundreds of organisms with the power of multiplexing. Confidently detect low-frequency variants and genome rearrangements.