Literature DB >> 28692395

A Practitioner-Driven Research Agenda for Syndromic Surveillance.

Richard S Hopkins1, Catherine C Tong2, Howard S Burkom3, Judy E Akkina4, John Berezowski5, Mika Shigematsu6,7, Patrick D Finley8, Ian Painter9,10, Roland Gamache11,12, Victor J Del Rio Vilas13, Laura C Streichert2.   

Abstract

Syndromic surveillance has expanded since 2001 in both scope and geographic reach and has benefited from research studies adapted from numerous disciplines. The practice of syndromic surveillance continues to evolve rapidly. The International Society for Disease Surveillance solicited input from its global surveillance network on key research questions, with the goal of improving syndromic surveillance practice. A workgroup of syndromic surveillance subject matter experts was convened from February to June 2016 to review and categorize the proposed topics. The workgroup identified 12 topic areas in 4 syndromic surveillance categories: informatics, analytics, systems research, and communications. This article details the context of each topic and its implications for public health. This research agenda can help catalyze the research that public health practitioners identified as most important.

Keywords:  research agenda; syndromic surveillance

Mesh:

Year:  2017        PMID: 28692395      PMCID: PMC5676517          DOI: 10.1177/0033354917709784

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  76 in total

1.  Unsupervised clustering of over-the-counter healthcare products into product categories.

Authors:  Garrick L Wallstrom; William R Hogan
Journal:  J Biomed Inform       Date:  2007-04-03       Impact factor: 6.317

2.  Forecasting seasonal outbreaks of influenza.

Authors:  Jeffrey Shaman; Alicia Karspeck
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-26       Impact factor: 11.205

3.  Developing syndrome definitions based on consensus and current use.

Authors:  Wendy W Chapman; John N Dowling; Atar Baer; David L Buckeridge; Dennis Cochrane; Michael A Conway; Peter Elkin; Jeremy Espino; Julia E Gunn; Craig M Hales; Lori Hutwagner; Mikaela Keller; Catherine Larson; Rebecca Noe; Anya Okhmatovskaia; Karen Olson; Marc Paladini; Matthew Scholer; Carol Sniegoski; David Thompson; Bill Lober
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

4.  Exploratory analysis of methods for automated classification of laboratory test orders into syndromic groups in veterinary medicine.

Authors:  Fernanda C Dórea; C Anne Muckle; David Kelton; J T McClure; Beverly J McEwen; W Bruce McNab; Javier Sanchez; Crawford W Revie
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

5.  SAGES: a suite of freely-available software tools for electronic disease surveillance in resource-limited settings.

Authors:  Sheri L Lewis; Brian H Feighner; Wayne A Loschen; Richard A Wojcik; Joseph F Skora; Jacqueline S Coberly; David L Blazes
Journal:  PLoS One       Date:  2011-05-10       Impact factor: 3.240

6.  Digital dashboard design using multiple data streams for disease surveillance with influenza surveillance as an example.

Authors:  Calvin K Y Cheng; Dennis K M Ip; Benjamin J Cowling; Lai Ming Ho; Gabriel M Leung; Eric H Y Lau
Journal:  J Med Internet Res       Date:  2011-10-14       Impact factor: 5.428

7.  Emergency department and 'Google flu trends' data as syndromic surveillance indicators for seasonal influenza.

Authors:  L H Thompson; M T Malik; A Gumel; T Strome; S M Mahmud
Journal:  Epidemiol Infect       Date:  2014-01-20       Impact factor: 4.434

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

Authors:  Zachary Faigen; Lana Deyneka; Amy Ising; Daniel Neill; Mike Conway; Geoffrey Fairchild; Julia Gunn; David Swenson; Ian Painter; Lauren Johnson; Chris Kiley; Laura Streichert; Howard Burkom
Journal:  Online J Public Health Inform       Date:  2015-12-30

9.  Prediction of high incidence of dengue in the Philippines.

Authors:  Anna L Buczak; Benjamin Baugher; Steven M Babin; Liane C Ramac-Thomas; Erhan Guven; Yevgeniy Elbert; Phillip T Koshute; John Mark S Velasco; Vito G Roque; Enrique A Tayag; In-Kyu Yoon; Sheri H Lewis
Journal:  PLoS Negl Trop Dis       Date:  2014-04-10

10.  The Ratio of Emergency Department Visits for ILI to Seroprevalence of 2009 Pandemic Influenza A (H1N1) Virus Infection, Florida, 2009.

Authors:  Richard S Hopkins; Aaron Kite-Powell; Kate Goodin; Janet J Hamilton
Journal:  PLoS Curr       Date:  2014-06-30
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  4 in total

1.  Using Syndromic Surveillance for All-Hazards Public Health Surveillance: Successes, Challenges, and the Future.

Authors:  Paula W Yoon; Amy I Ising; Julia E Gunn
Journal:  Public Health Rep       Date:  2017 Jul/Aug       Impact factor: 2.792

2.  Syndromic Surveillance as a Tool for Case-Based Varicella Reporting in Georgia, 2016-2019.

Authors:  Carolyn M Adam; René Borroto; Ebony Thomas; Jessica Tuttle; Jessica Pavlick; Cherie L Drenzek
Journal:  Public Health Rep       Date:  2021-10-13       Impact factor: 3.117

3.  Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance.

Authors:  Michael Rapp; Moritz Kulessa; Eneldo Loza Mencía; Johannes Fürnkranz
Journal:  Front Big Data       Date:  2022-01-13

4.  Simulation Based Evaluation of Time Series for Syndromic Surveillance of Cattle in Switzerland.

Authors:  Céline Faverjon; Sara Schärrer; Daniela C Hadorn; John Berezowski
Journal:  Front Vet Sci       Date:  2019-11-05
  4 in total

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