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Methods for computational disease surveillance in infection prevention and control: Statistical process control versus Twitter's anomaly and breakout detection algorithms.
Wiemken, Timothy L; Furmanek, Stephen P; Mattingly, William A; Wright, Marc-Oliver; Persaud, Annuradha K; Guinn, Brian E; Carrico, Ruth M; Arnold, Forest W; Ramirez, Julio A.
Affiliation
  • Wiemken TL; Department of Epidemiology and Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY. Electronic address: tim.wiemken@louisville.edu.
  • Furmanek SP; Healthcare Epidemiology and Patient Safety Program, Division of Infectious Diseases, University of Louisville, Louisville, KY.
  • Mattingly WA; Healthcare Epidemiology and Patient Safety Program, Division of Infectious Diseases, University of Louisville, Louisville, KY.
  • Wright MO; Department of Infection Prevention and Control, University of Wisconsin Hospitals and Clinics, Madison, WI.
  • Persaud AK; Healthcare Epidemiology and Patient Safety Program, Division of Infectious Diseases, University of Louisville, Louisville, KY.
  • Guinn BE; Healthcare Epidemiology and Patient Safety Program, Division of Infectious Diseases, University of Louisville, Louisville, KY.
  • Carrico RM; Healthcare Epidemiology and Patient Safety Program, Division of Infectious Diseases, University of Louisville, Louisville, KY.
  • Arnold FW; Healthcare Epidemiology and Patient Safety Program, Division of Infectious Diseases, University of Louisville, Louisville, KY.
  • Ramirez JA; Healthcare Epidemiology and Patient Safety Program, Division of Infectious Diseases, University of Louisville, Louisville, KY.
Am J Infect Control ; 46(2): 124-132, 2018 Feb.
Article in En | MEDLINE | ID: mdl-28916373
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Full text: 1 Database: MEDLINE Main subject: Computer Simulation / Cross Infection / Disease Outbreaks / Infection Control / Hospitals Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Year: 2018 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Computer Simulation / Cross Infection / Disease Outbreaks / Infection Control / Hospitals Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Year: 2018 Type: Article