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Need for Interactive Data Visualization in Public Health Practice: Examples from India
The world is full of data which is increasing by leaps and bounds. In health care, big data is becoming common with increased electronic health data accumulation and/or accessibility to public data previously held under lock and key. At the same time, health data visualization applications have beco...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106281/ https://www.ncbi.nlm.nih.gov/pubmed/34084313 http://dx.doi.org/10.4103/ijpvm.IJPVM_171_20 |
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author | Narayan, K. A. Nayak, M. Siva Durga Prasad |
author_facet | Narayan, K. A. Nayak, M. Siva Durga Prasad |
author_sort | Narayan, K. A. |
collection | PubMed |
description | The world is full of data which is increasing by leaps and bounds. In health care, big data is becoming common with increased electronic health data accumulation and/or accessibility to public data previously held under lock and key. At the same time, health data visualization applications have become popular over recent years. Against this background, a review was done to summarize the application of data visualization in public health & the challenges faced. Peer-reviewed original research articles and review articles searched in Google Scholar and Pubmed databases that were indexed in the last ten years period, using the keywords “Big data” or “data visualization” or “Interactive visualization techniques.” Other related information in books, blogs, and published documents were searched in Google search engine using the same keywords. Contents from the downloaded documents were presented and discussed under three headings viz. (a) the visualizations that are still current and how they have evolved further, (b) tools or methods that can be used by end-users to make their own modifications, (c) the platforms to disseminate them. Usage of different plots in public health is explained with suitable examples using the data from public health datasets. From the discussion it can be understood that when big data is visualized well, it can identify implementation gaps and disparities and accelerate implementation strategies to reach the population groups in most need for interventions. As health administrator may come from diverse specialties, robust training and career development for big data in public health is the need of the hour. |
format | Online Article Text |
id | pubmed-8106281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-81062812021-06-02 Need for Interactive Data Visualization in Public Health Practice: Examples from India Narayan, K. A. Nayak, M. Siva Durga Prasad Int J Prev Med Review Article The world is full of data which is increasing by leaps and bounds. In health care, big data is becoming common with increased electronic health data accumulation and/or accessibility to public data previously held under lock and key. At the same time, health data visualization applications have become popular over recent years. Against this background, a review was done to summarize the application of data visualization in public health & the challenges faced. Peer-reviewed original research articles and review articles searched in Google Scholar and Pubmed databases that were indexed in the last ten years period, using the keywords “Big data” or “data visualization” or “Interactive visualization techniques.” Other related information in books, blogs, and published documents were searched in Google search engine using the same keywords. Contents from the downloaded documents were presented and discussed under three headings viz. (a) the visualizations that are still current and how they have evolved further, (b) tools or methods that can be used by end-users to make their own modifications, (c) the platforms to disseminate them. Usage of different plots in public health is explained with suitable examples using the data from public health datasets. From the discussion it can be understood that when big data is visualized well, it can identify implementation gaps and disparities and accelerate implementation strategies to reach the population groups in most need for interventions. As health administrator may come from diverse specialties, robust training and career development for big data in public health is the need of the hour. Wolters Kluwer - Medknow 2021-02-24 /pmc/articles/PMC8106281/ /pubmed/34084313 http://dx.doi.org/10.4103/ijpvm.IJPVM_171_20 Text en Copyright: © 2021 International Journal of Preventive Medicine https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Review Article Narayan, K. A. Nayak, M. Siva Durga Prasad Need for Interactive Data Visualization in Public Health Practice: Examples from India |
title | Need for Interactive Data Visualization in Public Health Practice: Examples from India |
title_full | Need for Interactive Data Visualization in Public Health Practice: Examples from India |
title_fullStr | Need for Interactive Data Visualization in Public Health Practice: Examples from India |
title_full_unstemmed | Need for Interactive Data Visualization in Public Health Practice: Examples from India |
title_short | Need for Interactive Data Visualization in Public Health Practice: Examples from India |
title_sort | need for interactive data visualization in public health practice: examples from india |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106281/ https://www.ncbi.nlm.nih.gov/pubmed/34084313 http://dx.doi.org/10.4103/ijpvm.IJPVM_171_20 |
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