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Epidemiology for public health practice: The application of spatial epidemiology
Spatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying chang...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329838/ https://www.ncbi.nlm.nih.gov/pubmed/36051429 http://dx.doi.org/10.4239/wjd.v13.i7.584 |
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author | Liu, Longjian Nagar, Garvita Diarra, Ousmane Shosanya, Stephanie Sharma, Geeta Afesumeh, David Krishna, Akshatha |
author_facet | Liu, Longjian Nagar, Garvita Diarra, Ousmane Shosanya, Stephanie Sharma, Geeta Afesumeh, David Krishna, Akshatha |
author_sort | Liu, Longjian |
collection | PubMed |
description | Spatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying changes. In the Letter to Editor, we had a brief description of the practice for the mortality and the space-time patterns of John Snow's map of cholera epidemic in London, United Kingdom in 1854. This map is one of the earliest public heath practices of developing and applying spatial epidemiology. In the early history, spatial epidemiology was predominantly applied in infectious disease and risk factor studies. However, since the recent decades, noncommunicable diseases have become the leading cause of death in both developing and developed countries, spatial epidemiology has been used in the study of noncommunicable disease. In the Letter, we addressed two examples that applied spatial epidemiology to cluster and identify stroke belt and diabetes belt across the states and counties in the United States. Similar to any other epidemiological study design and analysis approaches, spatial epidemiology has its limitations. We should keep in mind when applying spatial epidemiology in research and in public health practice. |
format | Online Article Text |
id | pubmed-9329838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-93298382022-08-31 Epidemiology for public health practice: The application of spatial epidemiology Liu, Longjian Nagar, Garvita Diarra, Ousmane Shosanya, Stephanie Sharma, Geeta Afesumeh, David Krishna, Akshatha World J Diabetes Letter to the Editor Spatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying changes. In the Letter to Editor, we had a brief description of the practice for the mortality and the space-time patterns of John Snow's map of cholera epidemic in London, United Kingdom in 1854. This map is one of the earliest public heath practices of developing and applying spatial epidemiology. In the early history, spatial epidemiology was predominantly applied in infectious disease and risk factor studies. However, since the recent decades, noncommunicable diseases have become the leading cause of death in both developing and developed countries, spatial epidemiology has been used in the study of noncommunicable disease. In the Letter, we addressed two examples that applied spatial epidemiology to cluster and identify stroke belt and diabetes belt across the states and counties in the United States. Similar to any other epidemiological study design and analysis approaches, spatial epidemiology has its limitations. We should keep in mind when applying spatial epidemiology in research and in public health practice. Baishideng Publishing Group Inc 2022-07-15 2022-07-15 /pmc/articles/PMC9329838/ /pubmed/36051429 http://dx.doi.org/10.4239/wjd.v13.i7.584 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/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. |
spellingShingle | Letter to the Editor Liu, Longjian Nagar, Garvita Diarra, Ousmane Shosanya, Stephanie Sharma, Geeta Afesumeh, David Krishna, Akshatha Epidemiology for public health practice: The application of spatial epidemiology |
title | Epidemiology for public health practice: The application of spatial epidemiology |
title_full | Epidemiology for public health practice: The application of spatial epidemiology |
title_fullStr | Epidemiology for public health practice: The application of spatial epidemiology |
title_full_unstemmed | Epidemiology for public health practice: The application of spatial epidemiology |
title_short | Epidemiology for public health practice: The application of spatial epidemiology |
title_sort | epidemiology for public health practice: the application of spatial epidemiology |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329838/ https://www.ncbi.nlm.nih.gov/pubmed/36051429 http://dx.doi.org/10.4239/wjd.v13.i7.584 |
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