%0 Journal Article
%A Alemu, Sisay
%A Mons, Ute
%A Schaller, Katrin
%A Baltaci, Ezgi
%A Hoe, Connie
%T Spatial distribution of e-cigarette vending machines: a case study from Germany.
%J Tobacco control
%V nn
%@ 0964-4563
%C London
%I BMJ Publ. Group
%M DKFZ-2025-01964
%P nn
%D 2025
%Z #EA:C170#LA:C170# / epub / Short report
%X Germany has the highest density of cigarette vending machines globally, and the recent proliferation of electronic cigarette (e-cigarette) vending machines raises growing public health concerns, particularly regarding youth exposure. However, limited data exist on their spatial distribution and contextual placement. This study presents the first spatial analysis of e-cigarette vending machines in Germany, using the Berlin-based company 'Vape4Me' as a case study.Geo-referenced data on e-cigarette vending machine locations were extracted from the Vape4Me website and cross-validated using Google Maps and Microsoft Bing Maps. Spatial analyses-including density mapping, proximity assessments and co-location analysis-were conducted using ArcGIS Pro, R and OpenRouteService. Associations with population size were examined through regression analysis. Selected sites in Cologne and Wiesbaden were visited for on-site validation.A total of 316 (Vape4Me) e-cigarette vending machines were identified in Germany, with the highest concentration in Berlin. Machine density was significantly associated with population size, with a 3.24
%K Advertising and Promotion (Other)
%K Denormalization (Other)
%K Electronic nicotine delivery devices (Other)
%K Public policy (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:41015524
%R 10.1136/tc-2025-059546
%U https://inrepo02.dkfz.de/record/304973