User-friendly Rshiny web applications for supporting  syndromic surveillance analysis

doi:10.5210/ojphi.v9i1.7628

Published on 02.May.2017 in Vol 9, No 1 (2017):

User-friendly Rshiny web applications for supporting syndromic surveillance analysis

Anne Fouillet¹ ; Marc Ruello¹ ; Lucie Leon¹ ; Cecile Sommen¹ ; Laurent Marie¹ ; Céline Caserio-Schönemann¹ ; Camille Pelat¹ ; Yann Le Strat¹

The full text of this article is available as a PDF download by clicking here.

Article Authors Cited by (2) Tweetations Metrics

Journals

Bernadou A, Sommen C, Pivette M, Hubert B. Estimating the burden of influenza-attributable severe acute respiratory infections on the hospital system in Metropolitan France, 2012–2018. BMC Infectious Diseases 2023;23(1) View

Books/Policy Documents

Leipzig J. Encyclopedia of Bioinformatics and Computational Biology. View

Citation

Please cite as:

Fouillet A, Ruello M, Leon L, Sommen C, Marie L, Caserio-Schönemann C, Pelat C, Strat YL
User-friendly Rshiny web applications for supporting syndromic surveillance analysis
Online J Public Health Inform 2017;9(1):e61969
doi: 10.5210/ojphi.v9i1.7628 PMCID: 5462206

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

Public Health Data Visualization and Pattern Recognition (75)

Download

Download PDF

Share Article

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn