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Drowning--a scientometric analysis and data acquisition of a constant global problem employing density equalizing
David A Groneberg1, Ute Schilling, Cristian Scutaru
1Institute of Occupational, Social and Environmental Medicine, Goethe-University, Frankfurt, Germany.
International Journal of Health Geographics
|October 18, 2011
Summary
This study provides the first scientometric evaluation of drowning research, revealing consistent growth in publications and collaborations. Global research productivity patterns differ from drowning death and rate distributions.
Area of Science:
- Public Health
- Bibliometrics
- Global Health
Background:
- Drowning is a significant global health issue causing approximately 500,000 deaths annually.
- Existing public health strategies to mitigate drowning deaths remain limited.
- Despite growing research, a scientometric evaluation of drowning literature is lacking.
Purpose of the Study:
- To conduct the first scientometric evaluation of scientific research on drowning.
- To analyze and visualize research activity and collaboration patterns in the field of drowning.
- To compare global research productivity with drowning mortality and incidence data.
Main Methods:
- Utilized classical bibliometric tools and density-equalizing mapping techniques.
- Analyzed studies on drowning from the ISI-Web of Science database (since 1900) using the search term 'drowning'.
- Interpreted results in conjunction with World Health Organization (WHO) data.
Main Results:
- Observed a consistent increase in quantitative (publications, collaborations) and qualitative (citations) research markers.
- Density-equalizing mapping revealed disparities between global research productivity and drowning death/rate distributions.
- Illustrative charts demonstrated bilateral and multilateral research cooperation patterns.
Conclusions:
- This study presents the inaugural scientometric visualization of drowning research.
- The scientific focus on drowning is expected to expand due to its persistent global relevance.
- Findings highlight the need for targeted public health interventions informed by scientometric insights.
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