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An exploration of counterfeit medicine surveillance strategies guided by geospatial analysis: lessons learned from counterfeit Avastin detection in the US drug supply chain.

Cuomo RE, Mackey TK - BMJ Open (2014)

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.

View Article: PubMed Central - PubMed

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.

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Related in: MedlinePlus

Analysis of clustering and outliers of clinics receiving warning notices, by number of individuals over age 65.
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BMJOPEN2014006657F4: Analysis of clustering and outliers of clinics receiving warning notices, by number of individuals over age 65.

Mentions: The comparison of a point density map for wave 1 notices to a point density map for wave 2 notices shows that wave 1 notices were more concentrated in Southern California (figure 3A), whereas wave 2 notices exhibited greater concentrations in the eastern half of the country (figure 3B). This indicates that the distribution of FDA warning notices was geographically distinct and needs to be analysed further for differences. A subsequent cluster and outlier analysis showed clusters of high numbers of individuals over age 65 for metropolitan areas in Southern California, the New York metropolitan area, and the Miami metropolitan area (figure 4).


An exploration of counterfeit medicine surveillance strategies guided by geospatial analysis: lessons learned from counterfeit Avastin detection in the US drug supply chain.

Cuomo RE, Mackey TK - BMJ Open (2014)

Analysis of clustering and outliers of clinics receiving warning notices, by number of individuals over age 65.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4256545&req=5

BMJOPEN2014006657F4: Analysis of clustering and outliers of clinics receiving warning notices, by number of individuals over age 65.
Mentions: The comparison of a point density map for wave 1 notices to a point density map for wave 2 notices shows that wave 1 notices were more concentrated in Southern California (figure 3A), whereas wave 2 notices exhibited greater concentrations in the eastern half of the country (figure 3B). This indicates that the distribution of FDA warning notices was geographically distinct and needs to be analysed further for differences. A subsequent cluster and outlier analysis showed clusters of high numbers of individuals over age 65 for metropolitan areas in Southern California, the New York metropolitan area, and the Miami metropolitan area (figure 4).

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.

View Article: PubMed Central - PubMed

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