Influencing Indicators and Spatial Variation of Diabetes Mellitus Prevalence in Shandong, China: A Framework for Using Data‐Driven and Spatial Methods

To control and prevent the risk of diabetes, diabetes studies have identified the need to better understand and evaluate the associations between influencing indicators and the prevalence of diabetes. One constraint has been that influencing indicators have been selected mainly based on subjective j...

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Detalles Bibliográficos
Autores principales: Li, Yizhuo, Fei, Teng, Wang, Jian, Nicholas, Stephen, Li, Jun, Xu, Lizheng, Huang, Yanran, Li, Hanqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989969/
https://www.ncbi.nlm.nih.gov/pubmed/33778309
http://dx.doi.org/10.1029/2020GH000320

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989969/
https://www.ncbi.nlm.nih.gov/pubmed/33778309
http://dx.doi.org/10.1029/2020GH000320

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