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Avian Influenza Virus

There is growing concern that the next pandemic could arise from H5N1 avian influenza viruses, which have proven to be exceptionally virulent during cases of human infection. H5N1 viruses have infected nearly 400 people with mortality rates exceeding 50%. Therefore, these viruses are a particularly important target for a comprehensive understanding of viral pathogenesis.

SARS-Coronavirus

SARS-CoV circumvented the globe within three months of emergence. Over 8,000 people became infected during the outbreak, with mortality rates exceeding 10% and climbing to over 50% among the elderly. The outbreak also revealed vulnerabilities in the global economy, with significant financial losses associated with disruptions of trade and travel. Nearly 5 years after the emergence of SARS-CoV, effective licensed vaccines and drugs do not exist to protect the public health. The risk of its re-emergence, or of its recombining with a common human “cold” coronavirus, makes this virus a continuing public health threat.

2009 H1N1 Influenza

Influenza A viruses of the subtype H1N1 have been circulating in humans for decades; however, the recently emerged influenza 2009 A (H1N1) viruses cause disease and even death in humans and appear to be readily transmitted among individuals. These alarming findings, and the increasing spread of the virus, prompted the WHO to raise the level of influenza pandemic alert to Phase 6 (the pandemic phase) on June 11, 2009.

 

Publicly Available Data & Resources

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Recent Publications

Cell host response to infection with novel human coronavirus EMC predicts potential antivirals and important differences with SARS coronavirus

Release of SARS-CoV Nuclear Import Block Enhances Host Transcription in Human Lung Cells

Moving H5N1 studies into the era of systems biology

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News & Events

Cells response to new coronavirus unveils possible paths to treatments

Systems Virology data sets are now being submitted to ViPR and IRD, two of the NIAID-funded Bioinformatics Resources Centers. This allows users to compare data sets across model platforms and pathogens.

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