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Zika Outbreak of 2016: Insights from Twitter
An outbreak of the Zika virus in 2016 caused great concern among the general public and generated a burst of tweets. The aim of this study was to develop a better understanding of the types of discussions taking place. Tweets were retrieved from the peak of the Zika outbreak (as identified by Google...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347408/ http://dx.doi.org/10.1007/978-3-030-49576-3_32 |
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author | Ahmed, Wasim Bath, Peter A. Sbaffi, Laura Demartini, Gianluca |
author_facet | Ahmed, Wasim Bath, Peter A. Sbaffi, Laura Demartini, Gianluca |
author_sort | Ahmed, Wasim |
collection | PubMed |
description | An outbreak of the Zika virus in 2016 caused great concern among the general public and generated a burst of tweets. The aim of this study was to develop a better understanding of the types of discussions taking place. Tweets were retrieved from the peak of the Zika outbreak (as identified by Google Trends). Tweets were then filtered and entered in NVivo to be analysed using thematic analysis. It was found that tweets on Zika revolved around seven key themes: pregnancy, travel and the Olympics, mosquitoes and conspiracy, health organisations, health information, travel and tracking, and general discussions around Zika. Our results are likely to be of interest to public health organisations disseminating information related to future outbreaks of Zika and we develop a set of preliminary recommendations for health authorities. |
format | Online Article Text |
id | pubmed-7347408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73474082020-07-10 Zika Outbreak of 2016: Insights from Twitter Ahmed, Wasim Bath, Peter A. Sbaffi, Laura Demartini, Gianluca Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing Article An outbreak of the Zika virus in 2016 caused great concern among the general public and generated a burst of tweets. The aim of this study was to develop a better understanding of the types of discussions taking place. Tweets were retrieved from the peak of the Zika outbreak (as identified by Google Trends). Tweets were then filtered and entered in NVivo to be analysed using thematic analysis. It was found that tweets on Zika revolved around seven key themes: pregnancy, travel and the Olympics, mosquitoes and conspiracy, health organisations, health information, travel and tracking, and general discussions around Zika. Our results are likely to be of interest to public health organisations disseminating information related to future outbreaks of Zika and we develop a set of preliminary recommendations for health authorities. 2020-05-09 /pmc/articles/PMC7347408/ http://dx.doi.org/10.1007/978-3-030-49576-3_32 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ahmed, Wasim Bath, Peter A. Sbaffi, Laura Demartini, Gianluca Zika Outbreak of 2016: Insights from Twitter |
title | Zika Outbreak of 2016: Insights from Twitter |
title_full | Zika Outbreak of 2016: Insights from Twitter |
title_fullStr | Zika Outbreak of 2016: Insights from Twitter |
title_full_unstemmed | Zika Outbreak of 2016: Insights from Twitter |
title_short | Zika Outbreak of 2016: Insights from Twitter |
title_sort | zika outbreak of 2016: insights from twitter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347408/ http://dx.doi.org/10.1007/978-3-030-49576-3_32 |
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