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"Barnes, Nathelia"
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Strategies and Opportunities to Improve Community Health through Advanced Molecular Detection and Genomic Surveillance of Infectious Diseases
by
Barnes, Nathelia
,
Sanon, Ruth
,
Moore, Jazmyn
in
Bioinformatics
,
Communicable Diseases - diagnosis
,
Communicable Diseases - epidemiology
2025
Advanced molecular detection (AMD) refers to the integration of next-generation sequencing, epidemiologic, and bioinformatics data to drive public health actions. As new AMD technologies emerge, it is critical to ensure those methods are used in communities that are most affected by disease-induced illness and death. We describe strategies and opportunities for using AMD approaches to improve health in those communities, which include improving access to pathogen sequencing, increasing data linkages, and using pathogen sequencing for those diseases where sequencing technologies can provide the best health outcome. Such strategies can help address and prevent differences in health outcomes in various populations, such as rural and tribal communities, persons with underlying health issues, and other populations that experience higher risks for infectious disease.
Journal Article
An Advanced Molecular Detection Roadmap for Nonlaboratorians
by
Turner, Hannah
,
Barnes, Nathelia
,
Ricaldi, Jessica N.
in
Advanced molecular detection
,
An Advanced Molecular Detection Roadmap for Nonlaboratorians
,
Bioinformatics
2025
This article, aimed at nonlaboratorians such as healthcare providers, public health professionals, and policymakers, provides basic concepts and terminology to enable better understanding of other manuscripts in this advanced molecular detection journal supplement. This article focuses on 3 aspects of advanced molecular detection: pathogen genomics, bioinformatics, and public health application, while providing additional resources for understanding.
Journal Article
Outbreak of Variant Influenza A(H3N2) Virus in the United States
2013
Background. Variant influenza virus infections are rare but may have pandemic potential if person-to-person transmission is efficient. We describe the epidemiology of a multistate outbreak of an influenza A(H3N2) variant virus (H3N2v) first identified in 2011. Methods. We identified laboratory-confirmed cases of H3N2v and used a standard case report form to characterize illness and exposures. We considered illness to result from person-to-person H3N2v transmission if swine contact was not identified within 4 days prior to illness onset. Results. From 9 July to 7 September 2012, we identified 306 cases of H3N2v in 10 states. The median age of all patients was 7 years. Commonly reported signs and symptoms included fever (98%), cough (85%), and fatigue (83%). Sixteen patients (5.2%) were hospitalized, and 1 fatal case was identified. The majority of those infected reported agricultural fair attendance (93%) and/or contact with swine (95%) prior to illness. We identified 15 cases of possible person-to-person transmission of H3N2v. Viruses recovered from patients were 93%–100% identical and similar to viruses recovered from previous cases of H3N2v. All H3N2v viruses examined were susceptible to oseltamivir and zanamivir and resistant to adamantane antiviral medications. Conclusions. In a large outbreak of variant influenza, the majority of infected persons reported exposures, suggesting that swine contact at an agricultural fair was a risk for H3N2v infection. We identified limited person-to-person H3N2v virus transmission, but found no evidence of efficient or sustained person-to-person transmission. Fair managers and attendees should be aware of the risk of swine-to-human transmission of influenza viruses in these settings.
Journal Article