Journal ArticleDOI
Infodemiology and infoveillance tracking online health information and cyberbehavior for public health.
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This article is published in American Journal of Preventive Medicine.The article was published on 2011-05-01. It has received 315 citations till now. The article focuses on the topics: Infoveillance & Infodemiology.read more
Citations
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Journal ArticleDOI
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
TL;DR: Tweets can predict highly cited articles within the first 3 days of article publication, and the proposed twimpact factor may be a useful and timely metric to measure uptake of research findings and to filter research findings resonating with the public in real time.
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Social Media: A Review and Tutorial of Applications in Medicine and Health Care
TL;DR: By following the guidelines presented, professionals have a starting point to engage with social media in a safe and ethical manner and will understand the synergies between social media and evidence-based practice, as well as develop institutional policies that benefit patients, clinicians, public health practitioners, and industry alike.
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Big data meets public health
TL;DR: The potential impact of Big Data on public's health is discussed in this paper, where the authors identify the Broad Street water pump as the source of cholera outbreak, even without knowing that a Vibrio organism caused it.
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Google Trends in Infodemiology and Infoveillance: Methodology Framework.
TL;DR: This article presents and analyzes the key points that need to be considered to achieve a strong methodological basis for using Google Trends data, crucial for ensuring the value and validity of the results, as the analysis of online queries is extensively integrated in health research in the big data era.
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Assessing the risks of "infodemics" in response to COVID-19 epidemics
Riccardo Gallotti,Francesco Valle,Nicola Castaldo,Pier Luigi Sacco,Pier Luigi Sacco,Manlio De Domenico +5 more
TL;DR: This article analyzed more than 100 millions Twitter messages posted worldwide in 64 languages during the epidemic emergency due to SARS-CoV-2 and classified the reliability of news diffused, finding that waves of unreliable and low-quality information anticipate the epidemic ones, exposing entire countries to irrational social behavior and serious threats for public health.
References
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Journal ArticleDOI
Detecting influenza epidemics using search engine query data
Jeremy Ginsberg,Matthew H. Mohebbi,Rajan Patel,Lynnette Brammer,Mark S. Smolinski,Lawrence B. Brilliant +5 more
TL;DR: A method of analysing large numbers of Google search queries to track influenza-like illness in a population and accurately estimate the current level of weekly influenza activity in each region of the United States with a reporting lag of about one day is presented.
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Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak
TL;DR: Twitter can be used for real-time content analysis and knowledge translation research, allowing health authorities to respond to public concerns, and illustrates the potential of using social media to conduct “infodemiology” studies for public health.
Proceedings Article
Pandemics in the Age of Twitter: Content Analysis of “Tweets” During the H1N1 Outbreak
TL;DR: This paper analyzed the content of Twitter posts or tweets shared during the 2009 H1N1 outbreak to determine the types and quality of information that social media users are exchanging in pandemics.
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Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet.
TL;DR: This paper revisits the emerging fields of infodemiology and infoveillance and proposes an expanded framework, introducing some basic metrics such as information prevalence, concept occurrence ratios, and information incidence.
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Ethical issues in qualitative research on internet communities
Gunther Eysenbach,James E. Till +1 more
TL;DR: Internet communities (such as mailing lists, chat rooms, newsgroups, or discussion boards on websites) are rich sources of qualitative data for health researchers and Qualitative analysis of internet postings may help to systematise needs, values, and preferences of consumers and professionals relevant to health and health care.