title: Assessment of H1N1 questions and answers posted on the Web.
abstract: BACKGROUND
  A novel strain of human influenza A (H1N1) posed a serious pandemic threat worldwide during 2009. The public's fear of pandemic flu often raises awareness and discussion of such events.
  
  
  OBJECTIVE
  The goal of this study was to characterize major topical matters of H1N1 questions and answers raised by the online question and answer community Yahoo! Answers during H1N1 outbreak.
  
  
  METHODS
  The study used Text Mining for SPSS Clementine (v.12; SPSS Inc., Chicago, IL) to extract the major concepts of the collected Yahoo! questions and answers. The original collections were retrieved using "H1N1" in search, keyword and then filtered for only "resolved questions" in the "health" category submitted within the past 2 years.
  
  
  RESULTS
  The most frequently formed categories were as follows: general health (health, disease, medicine, investigation, evidence, problem), flu-specific terms (H1N1, swine, shot, fever, cold, infective, throat), and nonmedical issues (feel, North American, people, child, nations, government, states, help, doubt, emotion). The study found that URL data are fairly predictable: those providing answers are divided between ones dedicated to giving trustworthy information-from news organizations and the government, for instance-and those looking to espouse a more biased point of view.
  
  
  CONCLUSIONS
  Critical evaluation of online sources should be taught to select the quality of information and improve health literacy. The challenges of pandemic prevention and control, therefore, demand both e-surveillance and better informed "Netizens."
authors.affiliation: Division of Biomedical Informatics, College of Public Health, University of Kentucky, Lexington, USA. sujinkim@uky.edu
authors.forename: Sujin
authors.initials: S
authors.lastname: Kim
authors.forename: Thomas
authors.initials: T
authors.lastname: Pinkerton
authors.forename: Nithya
authors.initials: N
authors.lastname: Ganesh
mesh_terms: D006801:Humans; D053118:Influenza A Virus, H1N1 Subtype / Q000472:pathogenicity*; D007251:Influenza, Human / Q000453:epidemiology* / Q000523:psychology* / Q000821:virology; D020407:Internet; D018156:Journalism, Medical; D058873:Pandemics