title: State-level zoonotic disease surveillance in the United States.
abstract: Most emerging infectious diseases are zoonotic, yet recent commissions have highlighted deficiencies in their surveillance. We conducted a survey to understand the needs of state agencies for zoonotic disease surveillance. The findings will hopefully support the development of biomedical informatics applications that can link animal and human data for surveillance.
authors.affiliation: Yale Center for Medical Informatics, Yale University, New Haven, CT, USA. matthew.scotch@asu.edu
authors.forename: M
authors.initials: M
authors.lastname: Scotch
authors.forename: P
authors.initials: P
authors.lastname: Rabinowitz
authors.forename: C
authors.initials: C
authors.lastname: Brandt
mesh_terms: D000818:Animals; D003140:Communicable Disease Control / Q000379:methods* / Q000706:statistics & numerical data; D016208:Databases, Factual; D003697:Delphi Technique; D006306:Health Surveys; D006801:Humans; D009511:New England / Q000453:epidemiology; D011635:Public Health Administration; D015980:Public Health Practice / Q000706:statistics & numerical data*; D018571:Sentinel Surveillance; D013219:State Government; D014481:United States / Q000453:epidemiology; D015047:Zoonoses / Q000453:epidemiology*