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A scoping review of the use of Twitter for public health research
Public health practitioners and researchers have used traditional medical databases to study and understand public health for a long time. Recently, social media data, particularly Twitter, has seen some use for public health purposes. Every large technological development in history has had an impa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229729/ https://www.ncbi.nlm.nih.gov/pubmed/32502758 http://dx.doi.org/10.1016/j.compbiomed.2020.103770 |
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author | Edo-Osagie, Oduwa De La Iglesia, Beatriz Lake, Iain Edeghere, Obaghe |
author_facet | Edo-Osagie, Oduwa De La Iglesia, Beatriz Lake, Iain Edeghere, Obaghe |
author_sort | Edo-Osagie, Oduwa |
collection | PubMed |
description | Public health practitioners and researchers have used traditional medical databases to study and understand public health for a long time. Recently, social media data, particularly Twitter, has seen some use for public health purposes. Every large technological development in history has had an impact on the behaviour of society. The advent of the internet and social media is no different. Social media creates public streams of communication, and scientists are starting to understand that such data can provide some level of access into the people's opinions and situations. As such, this paper aims to review and synthesize the literature on Twitter applications for public health, highlighting current research and products in practice. A scoping review methodology was employed and four leading health, computer science and cross-disciplinary databases were searched. A total of 755 articles were retreived, 92 of which met the criteria for review. From the reviewed literature, six domains for the application of Twitter to public health were identified: (i) Surveillance; (ii) Event Detection; (iii) Pharmacovigilance; (iv) Forecasting; (v) Disease Tracking; and (vi) Geographic Identification. From our review, we were able to obtain a clear picture of the use of Twitter for public health. We gained insights into interesting observations such as how the popularity of different domains changed with time, the diseases and conditions studied and the different approaches to understanding each disease, which algorithms and techniques were popular with each domain, and more. |
format | Online Article Text |
id | pubmed-7229729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72297292020-05-18 A scoping review of the use of Twitter for public health research Edo-Osagie, Oduwa De La Iglesia, Beatriz Lake, Iain Edeghere, Obaghe Comput Biol Med Article Public health practitioners and researchers have used traditional medical databases to study and understand public health for a long time. Recently, social media data, particularly Twitter, has seen some use for public health purposes. Every large technological development in history has had an impact on the behaviour of society. The advent of the internet and social media is no different. Social media creates public streams of communication, and scientists are starting to understand that such data can provide some level of access into the people's opinions and situations. As such, this paper aims to review and synthesize the literature on Twitter applications for public health, highlighting current research and products in practice. A scoping review methodology was employed and four leading health, computer science and cross-disciplinary databases were searched. A total of 755 articles were retreived, 92 of which met the criteria for review. From the reviewed literature, six domains for the application of Twitter to public health were identified: (i) Surveillance; (ii) Event Detection; (iii) Pharmacovigilance; (iv) Forecasting; (v) Disease Tracking; and (vi) Geographic Identification. From our review, we were able to obtain a clear picture of the use of Twitter for public health. We gained insights into interesting observations such as how the popularity of different domains changed with time, the diseases and conditions studied and the different approaches to understanding each disease, which algorithms and techniques were popular with each domain, and more. Elsevier Ltd. 2020-07 2020-05-16 /pmc/articles/PMC7229729/ /pubmed/32502758 http://dx.doi.org/10.1016/j.compbiomed.2020.103770 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Edo-Osagie, Oduwa De La Iglesia, Beatriz Lake, Iain Edeghere, Obaghe A scoping review of the use of Twitter for public health research |
title | A scoping review of the use of Twitter for public health research |
title_full | A scoping review of the use of Twitter for public health research |
title_fullStr | A scoping review of the use of Twitter for public health research |
title_full_unstemmed | A scoping review of the use of Twitter for public health research |
title_short | A scoping review of the use of Twitter for public health research |
title_sort | scoping review of the use of twitter for public health research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229729/ https://www.ncbi.nlm.nih.gov/pubmed/32502758 http://dx.doi.org/10.1016/j.compbiomed.2020.103770 |
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