Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA
Mitigating antimicrobial resistance (AMR) is a public health priority to preserve antimicrobial treatment options. The Washington State Department of Health in Washington, USA, piloted a process to leverage longitudinal genomic surveillance on the basis of whole-genome sequencing (WGS) and a genomi...
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| Format: | Article |
| Language: | English |
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Centers for Disease Control and Prevention
2025-05-01
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| Series: | Emerging Infectious Diseases |
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| Online Access: | https://wwwnc.cdc.gov/eid/article/31/13/24-1227_article |
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| _version_ | 1849726460954148864 |
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| author | Laura Marcela Torres Jared Johnson Audrey Valentine Audrey Brezak Emily C. Schneider Marisa D’Angeli Jennifer Morgan Claire Brostrom-Smith Chi N. Hua Michael Tran Darren Lucas Joenice Gonzalez De Leon Drew MacKellar Philip Dykema Kelly J. Kauber Allison Black |
| author_facet | Laura Marcela Torres Jared Johnson Audrey Valentine Audrey Brezak Emily C. Schneider Marisa D’Angeli Jennifer Morgan Claire Brostrom-Smith Chi N. Hua Michael Tran Darren Lucas Joenice Gonzalez De Leon Drew MacKellar Philip Dykema Kelly J. Kauber Allison Black |
| author_sort | Laura Marcela Torres |
| collection | DOAJ |
| description |
Mitigating antimicrobial resistance (AMR) is a public health priority to preserve antimicrobial treatment options. The Washington State Department of Health in Washington, USA, piloted a process to leverage longitudinal genomic surveillance on the basis of whole-genome sequencing (WGS) and a genomics-first cluster definition to enhance AMR surveillance. Here, we outline the approach to collaborative surveillance and describe the pilot using 6 carbapenemase-producing organism outbreaks of 3 species: Pseudomonas aeruginosa, Acinetobacter baumannii, and Klebsiella pneumoniae. We also highlight how we applied the approach to an emerging outbreak. We found that genomic and epidemiologic data define highly congruent outbreaks. By layering genomic and epidemiologic data, we refined linkage hypotheses and addressed gaps in traditional epidemiologic surveillance. With the accessibility of WGS, public health agencies must leverage new approaches to modernize surveillance for communicable diseases.
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| format | Article |
| id | doaj-art-500bbe111fdb4ea5ad124887f0ee54c1 |
| institution | DOAJ |
| issn | 1080-6040 1080-6059 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Centers for Disease Control and Prevention |
| record_format | Article |
| series | Emerging Infectious Diseases |
| spelling | doaj-art-500bbe111fdb4ea5ad124887f0ee54c12025-08-20T03:10:10ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592025-05-013113253410.3201/eid3113.241227Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USALaura Marcela TorresJared JohnsonAudrey ValentineAudrey BrezakEmily C. SchneiderMarisa D’AngeliJennifer MorganClaire Brostrom-SmithChi N. HuaMichael TranDarren LucasJoenice Gonzalez De LeonDrew MacKellarPhilip DykemaKelly J. KauberAllison Black Mitigating antimicrobial resistance (AMR) is a public health priority to preserve antimicrobial treatment options. The Washington State Department of Health in Washington, USA, piloted a process to leverage longitudinal genomic surveillance on the basis of whole-genome sequencing (WGS) and a genomics-first cluster definition to enhance AMR surveillance. Here, we outline the approach to collaborative surveillance and describe the pilot using 6 carbapenemase-producing organism outbreaks of 3 species: Pseudomonas aeruginosa, Acinetobacter baumannii, and Klebsiella pneumoniae. We also highlight how we applied the approach to an emerging outbreak. We found that genomic and epidemiologic data define highly congruent outbreaks. By layering genomic and epidemiologic data, we refined linkage hypotheses and addressed gaps in traditional epidemiologic surveillance. With the accessibility of WGS, public health agencies must leverage new approaches to modernize surveillance for communicable diseases. https://wwwnc.cdc.gov/eid/article/31/13/24-1227_articleantimicrobial resistanceAMRmultidrug resistancegenomicsMDROAMR surveillance |
| spellingShingle | Laura Marcela Torres Jared Johnson Audrey Valentine Audrey Brezak Emily C. Schneider Marisa D’Angeli Jennifer Morgan Claire Brostrom-Smith Chi N. Hua Michael Tran Darren Lucas Joenice Gonzalez De Leon Drew MacKellar Philip Dykema Kelly J. Kauber Allison Black Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA Emerging Infectious Diseases antimicrobial resistance AMR multidrug resistance genomics MDRO AMR surveillance |
| title | Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA |
| title_full | Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA |
| title_fullStr | Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA |
| title_full_unstemmed | Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA |
| title_short | Integrating Genomic Data into Public Health Surveillance for Multidrug-Resistant Organisms, Washington, USA |
| title_sort | integrating genomic data into public health surveillance for multidrug resistant organisms washington usa |
| topic | antimicrobial resistance AMR multidrug resistance genomics MDRO AMR surveillance |
| url | https://wwwnc.cdc.gov/eid/article/31/13/24-1227_article |
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