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Journal article
Spatial epidemiology of diabetes: Methods and insights
World journal of diabetes, v 12(7), pp 1042-1056
15 Jul 2021
PMID: 34326953
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Diabetes mellitus (DM) is a growing epidemic with global proportions. It is estimated that in 2019, 463 million adults aged 20-79 years were living with DM. The latest evidence shows that DM continues to be a significant global health challenge and is likely to continue to grow substantially in the next decades, which would have major implications for healthcare expenditures, particularly in developing countries. Hence, new conceptual and methodological approaches to tackle the epidemic are long overdue. Spatial epidemiology has been a successful approach to control infectious disease epidemics like malaria and human immunodeficiency virus. The implementation of this approach has been expanded to include the study of non-communicable diseases like cancer and cardiovascular diseases. In this review, we discussed the implementation and use of spatial epidemiology and Geographic Information Systems to the study of DM. We reviewed several spatial methods used to understand the spatial structure of the disease and identify the potential geographical drivers of the spatial distribution of DM. Finally, we discussed the use of spatial epidemiology on the design and implementation of geographically targeted prevention and treatment interventions against DM.
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Details
- Title
- Spatial epidemiology of diabetes: Methods and insights
- Creators
- Diego F. Cuadros - University of CincinnatiJingjing Li - Drexel UniversityGodfrey Musuka - ICAPSusanne F. Awad - Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha 24144, Qatar.
- Publication Details
- World journal of diabetes, v 12(7), pp 1042-1056
- Publisher
- Baishideng Publishing Group Inc
- Number of pages
- 15
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000678615000009
- Other Identifier
- 991019167920704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Endocrinology & Metabolism