A scoping review of the use of Twitter for public health research
Autor: | Obaghe Edeghere, Osagioduwa Edo-Osagie, Beatriz de la Iglesia, Iain R. Lake |
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Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
medicine.medical_specialty MEDLINE Health Informatics Article 03 medical and health sciences Pharmacovigilance 0302 clinical medicine medicine Humans Social media Syndromic surveillance business.industry Event (computing) Public health Communication Popularity Data science Computer Science Applications Disease tracking Identification (information) 030104 developmental biology The Internet Public Health business Social Media 030217 neurology & neurosurgery Event forecasting |
Zdroj: | Computers in Biology and Medicine |
ISSN: | 1879-0534 |
Popis: | 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. Highlights • Twitter is a very popular microblogging platform with over 300 million active users. • We analyse the literature to understand Twitter's capability to provide a useful tool for public health. • We reviewed almost a thousand research studies and found that Twitter can be used for surveillance, event detection, pharmacovigilance, disease tracking and forecasting. • Twitter is mostly used in the context of flu, drug abuse, depression and dengue. • Our analysis of the literature presents the modern landscape of public health applications using social media data in combination with Machine Learning approaches. |
Databáze: | OpenAIRE |
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