This paper is in the following e-collection/theme issue:

Use Cases in Human, Animal, and Zoonotic Communicable/Infectious Disease Surveillance (132)

Published on in Vol 7, No 3 (2015):

Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case

Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case

Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case

Authors of this article:

Zachary Faigen1 ;   Lana Deynaka1 ;   Amy Ising2 ;   Daniel Neill3 ;   Mike Conway4 ;   Geoffrey Fairchild5 ;   Julia Gunn6 ;   David Swenson7 ;   Ian Painter8 ;   Lauren Johnson9 ;   Chris Kiley10 ;   Laura Streichert9 ;   Howard Burkom11
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Lall R, Abdelnabi J, Ngai S, Parton H, Saunders K, Sell J, Wahnich A, Weiss D, Mathes R. Advancing the Use of Emergency Department Syndromic Surveillance Data, New York City, 2012-2016. Public Health Reports® 2017;132(1_suppl):23S View
  2. Nobles M, Lall R, Mathes R, Neill D. Presyndromic surveillance for improved detection of emerging public health threats. Science Advances 2022;8(44) View
  3. Mc Cord—De Iaco K, Gesualdo F, Pandolfi E, Croci I, Tozzi A. Machine learning clinical decision support systems for surveillance: a case study on pertussis and RSV in children. Frontiers in Pediatrics 2023;11 View
  4. Hopkins R, Tong C, Burkom H, Akkina J, Berezowski J, Shigematsu M, Finley P, Painter I, Gamache R, Vilas V, Streichert L. A Practitioner-Driven Research Agenda for Syndromic Surveillance. Public Health Reports® 2017;132(1_suppl):116S View

Books/Policy Documents

  1. Zeng D, Cao Z, Neill D. Artificial Intelligence in Medicine. View