title: Assessing work-asthma interaction with Amazon Mechanical Turk.
abstract: OBJECTIVE
  To illustrate the utility of crowdsourcing for occupational health surveillance.
  
  
  METHODS
  Amazon Mechanical Turk was used to recruit and obtain information from employed persons with asthma, who answered questions about work-asthma interactions.
  
  
  RESULTS
  Data collection from 60 subjects required only a few hours. Participants spent on average 7 minutes responding to seven questions (one optional) and used an average of 708 words. Work exacerbation, interference of asthma with work, and suggested workplace accommodation are frequent (83% reported at least one interaction).
  
  
  CONCLUSIONS
  The full spectrum of work-asthma interactions should be considered. Modern crowdsourcing methods have considerable potential as occupational health surveillance tools because of their effectiveness; efficiency and financial viability are additional important advantages.
authors: From Community, Environment and Policy (Dr Harber), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; and Management Information Systems (Dr Leroy), Eller College of Management, University of Arizona, Tucson.
authors: Philip
authors: P
authors: Harber
authors: Gondy
authors: G
authors: Leroy
mesh_terms: D000328:Adult; D000368:Aged; D059366:Asthma, Occupational / Q000209:etiology / Q000503:physiopathology / Q000523:psychology / Q000628:therapy; D063045:Crowdsourcing; D018450:Disease Progression; D004526:Efficiency; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D000069597:Presenteeism; D062486:Public Health Surveillance / Q000379:methods*; D011795:Surveys and Questionnaires