Skip to main content


Table 3 Methodology and results of drug selection studies included in a literature review of drug sales data analysis for surveillance of infectious diseases

From: Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review

Author Disease Method Results of the algorithm evaluation
Pelat et al. [33] 2010 GI Hierarchical clustering procedure ,CUSUM Identification of 4 therapeutic classes relevant to gastroenteritis outbreak detection. Detection performance of a multiple voter algorithm: sensibility 100%, specificity 95%, timeliness 1.7 weeks.
Cami et al. [31] 2009 ILI Aggregate mining algorithm Identification of product categories with outbreak detection performance superior to predefined categories and more strongly correlated with the disease data.
Wallstrom et al. [34] 2007 ILI Unsupervised time-series clustering algorithm Distinction between OTC products for allergy and OTC products for influenza symptoms
Li et al. [32] 2005 ILI/GI Canonical correlation analysis Identification of eight diagnoses that have strong association with electrolyte sales (r = 0.96)
Magruder et al. [21] 2004 ILI Unsupervised stepwise clustering algorithm Identification of 16 OTC product groups with similar historical trends
  1. Abbreviations: GI Gastrointestinal, CUSUM Cumulative sum control chart, ILI Influenza-like illness, OTC Over-the-counter drugs.