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Progress on application of spatial epidemiology in ophthalmology
Most ocular diseases observed with cataract, chlamydia trachomatis, diabetic retinopathy, and uveitis, have their associations with environmental exposures, lifestyle, and habits, making their distribution has certain temporal and spatial features based essentially on epidemiology. Spatial epidemiol...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399620/ https://www.ncbi.nlm.nih.gov/pubmed/36033806 http://dx.doi.org/10.3389/fpubh.2022.936715 |
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author | Li, Cong Chen, Kang Yang, Kaibo Li, Jiaxin Zhong, Yifan Yu, Honghua Yang, Yajun Yang, Xiaohong Liu, Lei |
author_facet | Li, Cong Chen, Kang Yang, Kaibo Li, Jiaxin Zhong, Yifan Yu, Honghua Yang, Yajun Yang, Xiaohong Liu, Lei |
author_sort | Li, Cong |
collection | PubMed |
description | Most ocular diseases observed with cataract, chlamydia trachomatis, diabetic retinopathy, and uveitis, have their associations with environmental exposures, lifestyle, and habits, making their distribution has certain temporal and spatial features based essentially on epidemiology. Spatial epidemiology focuses on the use of geographic information systems (GIS), global navigation satellite systems (GNSS), and spatial analysis to map spatial distribution as well as change the tendency of diseases and investigate the health services status of populations. Recently, the spatial epidemic approach has been applied in the field of ophthalmology, which provides many valuable key messages on ocular disease prevention and control. This work briefly reviewed the context of spatial epidemiology and summarized its progress in the analysis of spatiotemporal distribution, non-monitoring area data estimation, influencing factors of ocular diseases, and allocation and utilization of eye health resources, to provide references for its application in the prevention and control of ocular diseases in the future. |
format | Online Article Text |
id | pubmed-9399620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93996202022-08-25 Progress on application of spatial epidemiology in ophthalmology Li, Cong Chen, Kang Yang, Kaibo Li, Jiaxin Zhong, Yifan Yu, Honghua Yang, Yajun Yang, Xiaohong Liu, Lei Front Public Health Public Health Most ocular diseases observed with cataract, chlamydia trachomatis, diabetic retinopathy, and uveitis, have their associations with environmental exposures, lifestyle, and habits, making their distribution has certain temporal and spatial features based essentially on epidemiology. Spatial epidemiology focuses on the use of geographic information systems (GIS), global navigation satellite systems (GNSS), and spatial analysis to map spatial distribution as well as change the tendency of diseases and investigate the health services status of populations. Recently, the spatial epidemic approach has been applied in the field of ophthalmology, which provides many valuable key messages on ocular disease prevention and control. This work briefly reviewed the context of spatial epidemiology and summarized its progress in the analysis of spatiotemporal distribution, non-monitoring area data estimation, influencing factors of ocular diseases, and allocation and utilization of eye health resources, to provide references for its application in the prevention and control of ocular diseases in the future. Frontiers Media S.A. 2022-08-10 /pmc/articles/PMC9399620/ /pubmed/36033806 http://dx.doi.org/10.3389/fpubh.2022.936715 Text en Copyright © 2022 Li, Chen, Yang, Li, Zhong, Yu, Yang, Yang and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Li, Cong Chen, Kang Yang, Kaibo Li, Jiaxin Zhong, Yifan Yu, Honghua Yang, Yajun Yang, Xiaohong Liu, Lei Progress on application of spatial epidemiology in ophthalmology |
title | Progress on application of spatial epidemiology in ophthalmology |
title_full | Progress on application of spatial epidemiology in ophthalmology |
title_fullStr | Progress on application of spatial epidemiology in ophthalmology |
title_full_unstemmed | Progress on application of spatial epidemiology in ophthalmology |
title_short | Progress on application of spatial epidemiology in ophthalmology |
title_sort | progress on application of spatial epidemiology in ophthalmology |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399620/ https://www.ncbi.nlm.nih.gov/pubmed/36033806 http://dx.doi.org/10.3389/fpubh.2022.936715 |
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