Challenges and Opportunities in Routine Time Series Analysis of Surveillance Data

Authors

  • Isabelle Devaux ECDC
  • Esther Kissling Epiconcept
  • Gilles Desve Epiconcept
  • Frantiska Hruba ECDC
  • Francisco Luquero Epiconcept
  • Chantal Quinten ECDC
  • Joana Gomes-Diaz ECDC
  • Marta Valenciano Epiconcept
  • Denis Coulombier ECDC

DOI:

https://doi.org/10.5210/ojphi.v5i1.4592

Abstract

This abstract presents challenges and opportunities encountered when performing routine time series analysis of surveillance data when introduction of automated processes. We launched a project to enable descriptive and routine TSA without the need for complex programming using a stata dialog box. This method was applied to several European surveillance datasets including VTEC and Legionellosis. Using the Stata TSA dialogue box saves time when performing rapid exploratory TSA of epidemiological data, but this does not replace multi-disciplinary approach, knowledge and application of a methodological approach to TSA to produce meaningful results that can inform public health decision making.

Author Biography

Isabelle Devaux, ECDC

After a PhD in epidemiologiy and environemental health in 1999, Isabelle Devaux worked in several countries for 6 years in the field of surveillance and environemental health, including one year spent at the CDC Atlanta working on asthma and respiratory health. In 2005, Isabelle joined the European networks EuroTB and Euro HIV based in France and continued her career at ECDC in surveillance of infectious diseases for the past 5 years.

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Published

2013-03-24

How to Cite

Devaux, I., Kissling, E., Desve, G., Hruba, F., Luquero, F., Quinten, C., … Coulombier, D. (2013). Challenges and Opportunities in Routine Time Series Analysis of Surveillance Data. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4592

Issue

Section

Poster Presentations