Article ; Online: Applications and Best Practices for Geospatial Analysis Research in Dermatology.
The Journal of investigative dermatology
2024 Volume 144, Issue 4, Page(s) 738–747
Abstract: Dermatologic diseases often exhibit distinct geographic patterns, underscoring the significant role of regional environmental, genetic, and sociocultural factors in driving their prevalence and manifestations. Geographic information and geospatial ... ...
| Abstract | Dermatologic diseases often exhibit distinct geographic patterns, underscoring the significant role of regional environmental, genetic, and sociocultural factors in driving their prevalence and manifestations. Geographic information and geospatial analysis enable researchers to investigate the spatial distribution of adverse health outcomes and their relationship with socioeconomic and environmental risk factors that are inherently geographic. Health geographers and spatial epidemiologists have developed numerous geospatial analytical tools to collect, process, visualize, and analyze geographic data. These tools help provide vital spatial context to the comprehension of the underlying dynamics behind health outcomes. By identifying areas with high rates of dermatologic disease and areas with barriers to access to quality dermatologic care, findings from studies utilizing geospatial analysis can inform the design and targeting of policy and intervention to help improve dermatologic healthcare outcomes and promote health equity. This article emphasizes the significance of geospatial data and analysis in dermatology research. We explore the common processes in data acquisition, harmonization, and geospatial analytics while conducting spatially and dermatologically relevant research. The article also highlights the practical application of geospatial analysis through instances drawn from the dermatology literature. |
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| MeSH term(s) | Humans ; Dermatology ; Health Promotion |
| Language | English |
| Publishing date | 2024-02-17 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 80136-7 |
| ISSN | 1523-1747 ; 0022-202X |
| ISSN (online) | 1523-1747 |
| ISSN | 0022-202X |
| DOI | 10.1016/j.jid.2024.01.016 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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