Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis Article Swipe
J. Danielle Sharpe
,
Richard S. Hopkins
,
Robert L. Cook
,
Catherine W. Striley
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.2196/publichealth.5901
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.2196/publichealth.5901
Of the 3 Web-based sources, Google had the best combination of sensitivity and PPV in detecting Bayesian change points in influenza-related data streams. Findings demonstrated that change points in Google, Twitter, and Wikipedia data occasionally aligned well with change points captured in CDC ILI data, yet these sources did not detect all changes in CDC data and should be further studied and developed.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2196/publichealth.5901
- OA Status
- gold
- Cited By
- 79
- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2533740697Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2196/publichealth.5901Digital Object Identifier
- Title
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Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2016Year of publication
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2016-10-20Full publication date if available
- Authors
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J. Danielle Sharpe, Richard S. Hopkins, Robert L. Cook, Catherine W. StrileyList of authors in order
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https://doi.org/10.2196/publichealth.5901Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.2196/publichealth.5901Direct OA link when available
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Social media, Public health, Disease control, Public health surveillance, Page view, Disease surveillance, Medicine, Health care, Internet privacy, Computer science, World Wide Web, The Internet, Environmental health, Political science, Nursing, Web development, Law, Static web pageTop concepts (fields/topics) attached by OpenAlex
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79Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 2, 2022: 9, 2021: 9Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | JMIR Publications |
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| publication_date | 2016-10-20 |
| publication_year | 2016 |
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| corresponding_author_ids | https://openalex.org/A5027176552 |
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