Human Orthohantavirus disease prevalence and genotype distribution in the U.S., 2008–2020: a retrospective observational study

Whitmer, Shannon L.M.; Whitesell, Amy; Mobley, Melissa; Talundzic, Emir; Shedroff, Elizabeth; Cossaboom, Caitlin M.; Messenger, Sharon; Deldari, Mojgan; Bhatnagar, Julu; Estetter, Lindsey; Zufan, Sara; Cannon, Debi; Chiang, Cheng-Feng; Gibbons, Ardith; Krapiunaya, Inna; Morales-Betoulle, Maria; Choi, Mary; Knust, Barbara; Amman, Brian; Montgomery, Joel M.; Shoemaker, Trevor; Klena, John D.

doi:10.1016/j.lana.2024.100836

The Lancet Regional Health - Americas

2024

DOI: 10.1016/j.lana.2024.100836

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Human Orthohantavirus disease prevalence and genotype distribution in the U.S., 2008–2020: a retrospective observational study

Shannon L.M. Whitmer,

Amy Whitesell,

Melissa Mobley

et al.

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Cited by 2 publications

References 29 publications

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Completed genome segments of Maciel, Lechiguanas, and Laguna Negra orthohantaviruses

Shedroff,

Whitmer,

Mobley

et al. 2024

Microbiol Resour Announc

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Completed genome segments of Maciel, Lechiguanas, and Laguna Negra orthohantaviruses

Shedroff,

Whitmer,

Mobley

et al. 2024

Microbiol Resour Announc

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HantaNet: A New MicrobeTrace Application for Hantavirus Classification, Genomic Surveillance, Epidemiology and Outbreak Investigations

Cintron,

Whitmer,

Moscoso

et al. 2023

Viruses

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Hantaviruses zoonotically infect humans worldwide with pathogenic consequences and are mainly spread by rodents that shed aerosolized virus particles in urine and feces. Bioinformatics methods for hantavirus diagnostics, genomic surveillance and epidemiology are currently lacking a comprehensive approach for data sharing, integration, visualization, analytics and reporting. With the possibility of hantavirus cases going undetected and spreading over international borders, a significant reporting delay can miss linked transmission events and impedes timely, targeted public health interventions. To overcome these challenges, we built HantaNet, a standalone visualization engine for hantavirus genomes that facilitates viral surveillance and classification for early outbreak detection and response. HantaNet is powered by MicrobeTrace, a browser-based multitool originally developed at the Centers for Disease Control and Prevention (CDC) to visualize HIV clusters and transmission networks. HantaNet integrates coding gene sequences and standardized metadata from hantavirus reference genomes into three separate gene modules for dashboard visualization of phylogenetic trees, viral strain clusters for classification, epidemiological networks and spatiotemporal analysis. We used 85 hantavirus reference datasets from GenBank to validate HantaNet as a classification and enhanced visualization tool, and as a public repository to download standardized sequence data and metadata for building analytic datasets. HantaNet is a model on how to deploy MicrobeTrace-specific tools to advance pathogen surveillance, epidemiology and public health globally.

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Human Orthohantavirus disease prevalence and genotype distribution in the U.S., 2008–2020: a retrospective observational study

Cited by 2 publications

References 29 publications

Completed genome segments of Maciel, Lechiguanas, and Laguna Negra orthohantaviruses

Completed genome segments of Maciel, Lechiguanas, and Laguna Negra orthohantaviruses

HantaNet: A New MicrobeTrace Application for Hantavirus Classification, Genomic Surveillance, Epidemiology and Outbreak Investigations

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