IJHG

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Open Access Methodology

Drowning - a scientometric analysis and data acquisition of a constant global problem employing density equalizing mapping and scientometric benchmarking procedures

David A Groneberg1, Ute Schilling1, Cristian Scutaru2, Stefanie Uibel1, Simona Zitnik1, Daniel Mueller1, Doris Klingelhoefer1* and Beatrix Kloft2

Author Affiliations

1 Institute of Occupational, Social and Environmental Medicine, Goethe-University, Frankfurt, Germany

2 Otto-Heubner-Centre, Charité-Universitätsmedizin Berlin, Berlin, Germany

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International Journal of Health Geographics 2011, 10:55 doi:10.1186/1476-072X-10-55

Published: 14 October 2011

Abstract

Background

Drowning is a constant global problem which claims approximately half a million victims worldwide each year, whereas the number of near-drowning victims is considerably higher. Public health strategies to reduce the burden of death are still limited. While research activities in the subject drowning grow constantly, yet there is no scientometric evaluation of the existing literature at the present time.

Methods

The current study uses classical bibliometric tools and visualizing techniques such as density equalizing mapping to analyse and evaluate the scientific research in the field of drowning. The interpretation of the achieved results is also implemented in the context of the data collection of the WHO.

Results

All studies related to drowning and listed in the ISI-Web of Science database since 1900 were identified using the search term "drowning". Implementing bibliometric methods, a constant increase in quantitative markers such as number of publications per state, publication language or collaborations as well as qualitative markers such as citations were observed for research in the field of drowning. The combination with density equalizing mapping exposed different global patterns for research productivity and the total number of drowning deaths and drowning rates respectively. Chart techniques were used to illustrate bi- and multilateral research cooperation.

Conclusions

The present study provides the first scientometric approach that visualizes research activity on the subject of drowning. It can be assumed that the scientific approach to this topic will achieve even greater dimensions because of its continuing actuality.

Keywords:
drowning; near-drowning; occupational medicine; scientometrics; density equalizing mapping