An exploration of counterfeit medicine surveillance strategies guided by geospatial analysis: lessons learned from counterfeit Avastin detection in the US drug supply chain.
Bottom Line: These data were used to generate the overarching study outcome, which was a recommendation for a strategy for drug safety surveillance congruent with existing literature on counterfeit medication.Importantly, the information generated by these analyses could be utilised to identify at-risk populations associated with demographic characteristics.Stakeholders should explore these results as another tool to improve on counterfeit medicine surveillance.
Affiliation: Global Health Policy Institute, La Jolla, California, USA Joint Doctoral Program in Global Public Health, University of California, San Diego-San Diego State University, San Diego, California, USA.Show MeSH
Related in: MedlinePlus
Mentions: When examining in more detail the differences between waves 1 and 2, t tests revealed four variables with significantly different means in wave 1 zip codes compared to means in wave 2 zip codes (table 2). Three of these variables pertained to race. Maps comparing counties with high numbers of multiracial individuals (above 2500 people) with the distributions of waves 1 and 2 notices revealed that many of these counties were in Southern California (figure 5), which is the same region where wave 1 notices were found to be concentrated in point density maps (figure 3A).
Affiliation: Global Health Policy Institute, La Jolla, California, USA Joint Doctoral Program in Global Public Health, University of California, San Diego-San Diego State University, San Diego, California, USA.