Selected article for: "influenza virus and strain selection"
Author: Chan, Joseph M.; Rabadan, Raul
Title: Quantifying Pathogen Surveillance Using Temporal Genomic Data
  • Document date: 2013_1_29
    • ID: u2t1x89m_2
    Snippet: Clinical, serologic, and genomic surveillance systems serve as invaluable tools for detecting early outbreaks, determining the genetic variation of a population, improving vaccine design, and evading antibiotic resistance. In the case of influenza A virus, coordinated global efforts like those of the World Health Organization (WHO) identify cases of influenza-like symptoms, conduct serology studies, and sequence viral isolates (5) . Despite such .....
    Document: Clinical, serologic, and genomic surveillance systems serve as invaluable tools for detecting early outbreaks, determining the genetic variation of a population, improving vaccine design, and evading antibiotic resistance. In the case of influenza A virus, coordinated global efforts like those of the World Health Organization (WHO) identify cases of influenza-like symptoms, conduct serology studies, and sequence viral isolates (5) . Despite such efforts, there remain areas of sparse data, particularly in potential tropical influenza hot spots like India, Africa, or South America. Such sampling bias in strain selection can skew the predicted dominant virus used in annual vaccine design (6, 7) .

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