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7/12/2021 8:08:23 AM | Browse: 466 | Download: 831
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Received |
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2021-02-10 02:17 |
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Peer-Review Started |
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2021-02-10 02:23 |
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To Make the First Decision |
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Return for Revision |
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2021-04-20 21:59 |
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Revised |
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2021-05-07 22:28 |
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Second Decision |
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2021-06-04 07:33 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-06-04 10:05 |
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Articles in Press |
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2021-06-04 10:05 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2021-06-27 14:50 |
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Publish the Manuscript Online |
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2021-07-12 05:45 |
ISSN |
1948-9358 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Public, Environmental & Occupational Health |
Manuscript Type |
Review |
Article Title |
Spatial epidemiology of diabetes: Methods and insights
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Manuscript Source |
Invited Manuscript |
All Author List |
Diego F Cuadros, Jingjing Li, Godfrey Musuka and Susanne F Awad |
Funding Agency and Grant Number |
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Corresponding Author |
Diego F Cuadros, PhD, Assistant Professor, Geography and Geographic Information Systems, University of Cincinnati, 2600 Clifton Ave, Cincinnati, OH 45221, United States. diego.cuadros@uc.edu |
Key Words |
Diabetes mellitus; Spatial epidemiology; Risk factors; Spatial statistics; Disease mapping |
Core Tip |
With more than 400 million people having diabetes mellitus (DM), this disease emerges as one of the biggest public health challenges of our current times. However, one of the most significant public health advances in the study of DM is the demonstration that it can be prevented by the implementation of effective interventions targeting the factors that exacerbate the risk of the disease. Spatially informed tailored strategies that allocate resources in the high-risk areas where the most vulnerable populations reside would be an effective approach aimed to control and reduce the burden of the disease. Spatially explicit community-level policy interventions would offer great promise in effectively addressing the obesogenic and diabetogenic environment aimed to control the global DM epidemic. |
Publish Date |
2021-07-12 05:45 |
Citation |
Cuadros DF, Li JJ, Musuka G, Awad SF. Spatial epidemiology of diabetes: Methods and insights. World J Diabetes 2021; 12(7): 1042-1056 |
URL |
https://www.wjgnet.com/1948-9358/full/v12/i7/1042.htm |
DOI |
https://dx.doi.org/10.4239/wjd.v12.i7.1042 |
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