Challenges and Opportunities in Routine Time Series Analysis of Surveillance Data
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How to Cite

Devaux, I., Kissling, E., Desve, G., Hruba, F., Luquero, F., Quinten, C., Gomes-Diaz, J., Valenciano, M., & 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

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