Cross-border crime patterns unveiled by exchange of DNA profiles in the European Union
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The aim of this study was to make a head start with unveiling transnational spatial patterns in offending. To that end, data are used from DNA profile exchange between The Netherlands and 18 other EU member states that have implemented EU legislation on forensic cooperation. Information was collected on all DNA stains entered into the database, including the region in The Netherlands where the stain was secured, the type of crime and how many matching DNA profiles had been identified in each of the other 18 countries. The results suggest that currently the profiles of offenders who are active in other Prüm countries make up for about 4 per cent of all DNA stain profiles in the Dutch DNA database. The highest share of cross-border matches is found in the southeastern part of The Netherlands, where The Netherlands borders one of the most densely populated regions of Germany.
Keywordscross-border crime offender mobility DNA European Union Prüm treaty
The reported research was part of the project Prüm Implementation, Evaluation and Strengthening of Forensic DNA Data Exchange (PIES) that was supported by the Program Prevention of and Fight against Crime (ISEC) of the Department of Home Affairs of the European Commission (project number HOME/2011/ISEC/AG/PRUM/4000002150, grant agreement number: 30-CE-0498536/00-03). The sole responsibility for the findings reported and opinions expressed in this article lies with the authors. The Commission is not responsible for any use that may be made of the information contained therein. The authors thank the guest editors and reviewers for helpful comments on a previous draft of the text.
- Egger, S.A. (1984) A working definition of serial murder and the reduction of linkage blindness. Journal Of Police Science and Administration 12(3): 348–357.Google Scholar
- Huet, M. and Leplingard, A. (2014) Operational and strategic perspectives on the French DNA database. The Prüm Implementation, Evaluation and Strengthening of Forensic Data Exchange. 25–26 June 2014, Brussels, Belgium.Google Scholar
- Levine, N. and Lee, P. (2013) Journey-to-crime by gender and age group in Manchester, England. In: M. Leitner (ed.) Crime Modeling and Mapping Using Geospatial Technologies. Houten, The Netherlands: Springer Netherlands.Google Scholar
- Passas, N. (2002) Cross-border crime and the interface between legal and illegal actors. In: P.C. Van Duyne, K. Von Lampe and N. Passas (eds.) Upperworld and Underworld in Cross-Border Crime. Nijmegen, The Netherlands: Wolf Legal Publishers.Google Scholar
- Polišenská, V.A. (2008) A qualitative approach to the criminal mobility of burglars: Questioning the ‘near-home’ hypothesis. Crime Patterns and Analysis 1(1): 47–59.Google Scholar
- Porter, M. (1996) Tackling Cross Border Crime, Crime Detection and Prevention Series. London: Home Office.Google Scholar
- Siegel, D. (2014) Mobile Banditry: East and Central European Itinerant Criminal Groups in The Netherlands. Meppel, The Netherlands: Boom-Lemma.Google Scholar
- Townsley, M.T., Smith, C. and Pease, K. (2006) First impressions count: Serious detections arising from criminal justice samples. Genomics, Society and Policy 2(1): 28–40.Google Scholar
- Vandeviver, C. (2013) Distance matters: A look at crime trip distances in flanders. In: A. Crawford, J. De Maillard, J. Shapland, A. Verhage and P. Ponsaers (eds.) Crime, Violence, Justice and Social Order: Monitoring Contemporary Security Issues. Ghent, Belgium: Maklu.Google Scholar
- Wiles, P. and Costello, A. (2000) The ‘Road to Nowhere’: The Evidence for Traveling Criminals. London: Home Office.Google Scholar