Using social media for actionable disease surveillance and outbreak management. A systematic literature review
Abstract
Here, research studies show that social media may be valuable tools in the disease surveillance toolkit used for improving public health professionals’ ability to detect disease outbreaks faster than traditional methods and to enhance outbreak response. A social media work group, consisting of surveillance practitioners, academic researchers, and other subject matter experts convened by the International Society for Disease Surveillance, conducted a systematic primary literature review using the PRISMA framework to identify research, published through February 2013, answering either of the following questions: 1) Can social media be integrated into disease surveillance practice and outbreak management to support and improve public health? 2) Can social media be used to effectively target populations, specifically vulnerable populations, to test an intervention and interact with a community to improve health outcomes? Examples of social media included are Facebook, MySpace, microblogs (e.g., Twitter), blogs, and discussion forums. For Question 1, 33 manuscripts were identified, starting in 2009 with topics on Influenza-like Illnesses (n=15), Infectious Diseases (n = 6), Non-infectious Diseases (n=4), Medication and Vaccines (n=3), and Other (n=5). For Question 2, 32 manuscripts were identified, the first in 2000 with topics on Health Risk Behaviors (n=10), Infectious Diseases (n = 3), Non-infectious Diseases (n=9),more »
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- International Society for Disease Surveillance, Boston, MA (United States)
- Commonwealth Scientific and Industrial Research Organization Digital Productivity Flagship, Canberra (Australia)
- Univ. of Utah, Salt Lake City, UT (United States)
- The Univ. of Hong Kong (People's Republic of China)
- Skoll Global Threats Fund, San Francisco, CA (United States)
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD (United States)
- National Institute of Infectious Diseases, Tokyo (Japan)
- United States Dept. of Veteran Affairs, Hines, IL (United States)
- IFIMAR, Conicet (Argentina)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1229934
- Report Number(s):
- PNNL-SA-110428
Journal ID: ISSN 1932-6203
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- PLoS ONE
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 10; Journal ID: ISSN 1932-6203
- Publisher:
- Public Library of Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 59 BASIC BIOLOGICAL SCIENCES; social media; twitter; public and occupational health; disease surveillance; North America; influenza; swine influenza; behavioral and social aspects of health
Citation Formats
Charles-Smith, Lauren E., Reynolds, Tera L., Cameron, Mark A., Conway, Mike, Lau, Eric H. Y., Olsen, Jennifer M., Pavlin, Julie A., Shigematsu, Mika, Streichert, Laura C., Suda, Katie J., Corley, Courtney D., and Braunstein, Lidia Adriana. Using social media for actionable disease surveillance and outbreak management. A systematic literature review. United States: N. p., 2015.
Web. doi:10.1371/journal.pone.0139701.
Charles-Smith, Lauren E., Reynolds, Tera L., Cameron, Mark A., Conway, Mike, Lau, Eric H. Y., Olsen, Jennifer M., Pavlin, Julie A., Shigematsu, Mika, Streichert, Laura C., Suda, Katie J., Corley, Courtney D., & Braunstein, Lidia Adriana. Using social media for actionable disease surveillance and outbreak management. A systematic literature review. United States. https://doi.org/10.1371/journal.pone.0139701
Charles-Smith, Lauren E., Reynolds, Tera L., Cameron, Mark A., Conway, Mike, Lau, Eric H. Y., Olsen, Jennifer M., Pavlin, Julie A., Shigematsu, Mika, Streichert, Laura C., Suda, Katie J., Corley, Courtney D., and Braunstein, Lidia Adriana. Mon .
"Using social media for actionable disease surveillance and outbreak management. A systematic literature review". United States. https://doi.org/10.1371/journal.pone.0139701. https://www.osti.gov/servlets/purl/1229934.
@article{osti_1229934,
title = {Using social media for actionable disease surveillance and outbreak management. A systematic literature review},
author = {Charles-Smith, Lauren E. and Reynolds, Tera L. and Cameron, Mark A. and Conway, Mike and Lau, Eric H. Y. and Olsen, Jennifer M. and Pavlin, Julie A. and Shigematsu, Mika and Streichert, Laura C. and Suda, Katie J. and Corley, Courtney D. and Braunstein, Lidia Adriana},
abstractNote = {Here, research studies show that social media may be valuable tools in the disease surveillance toolkit used for improving public health professionals’ ability to detect disease outbreaks faster than traditional methods and to enhance outbreak response. A social media work group, consisting of surveillance practitioners, academic researchers, and other subject matter experts convened by the International Society for Disease Surveillance, conducted a systematic primary literature review using the PRISMA framework to identify research, published through February 2013, answering either of the following questions: 1) Can social media be integrated into disease surveillance practice and outbreak management to support and improve public health? 2) Can social media be used to effectively target populations, specifically vulnerable populations, to test an intervention and interact with a community to improve health outcomes? Examples of social media included are Facebook, MySpace, microblogs (e.g., Twitter), blogs, and discussion forums. For Question 1, 33 manuscripts were identified, starting in 2009 with topics on Influenza-like Illnesses (n=15), Infectious Diseases (n = 6), Non-infectious Diseases (n=4), Medication and Vaccines (n=3), and Other (n=5). For Question 2, 32 manuscripts were identified, the first in 2000 with topics on Health Risk Behaviors (n=10), Infectious Diseases (n = 3), Non-infectious Diseases (n=9), and Other (n=10). The literature on the use of social media to support public health practice has identified many gaps and biases in current knowledge. Despite the potential for success identified in exploratory studies, there are limited studies on interventions and little use of social media in practice. However, information gleaned from the articles demonstrates the effectiveness of social media in supporting and improving public health and in identifying target populations for intervention. A primary recommendation resulting from the review is to identify opportunities that enable public health professionals to integrate social media analytics into disease surveillance and outbreak management practice.},
doi = {10.1371/journal.pone.0139701},
journal = {PLoS ONE},
number = 10,
volume = 10,
place = {United States},
year = {Mon Oct 05 00:00:00 EDT 2015},
month = {Mon Oct 05 00:00:00 EDT 2015}
}
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Internet-based biosurveillance methods for vector-borne diseases: Are they novel public health tools or just novelties?
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Coughing, sneezing, and aching online: Twitter and the volume of influenza-like illness in a pediatric hospital
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Forecasting influenza-like illness dynamics for military populations using neural networks and social media
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Web monitoring of emerging animal infectious diseases integrated in the French Animal Health Epidemic Intelligence System
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Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance
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Healthcare practitioners’ views of social media as an educational resource
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Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis
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Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations
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Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis
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Participatory Disease Surveillance: Engaging Communities Directly in Reporting, Monitoring, and Responding to Health Threats
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Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study
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Toward Data Sense-Making in Digital Health Communication Research: Why Theory Matters in the Age of Big Data
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The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”
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Communicable Disease Surveillance Ethics in the Age of Big Data and New Technology
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Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology
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Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data
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Artificial Intelligence for Surveillance in Public Health
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Critical dynamics in population vaccinating behavior
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Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
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Interoperability of Information Systems Managed and Used by the Local Health Departments
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Informatics as a Strategic Priority and Collaborative Processes to Build a Smarter, Forward-Looking Health Department
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Using Information Systems to Improve a Mid-Sized Local Health Department's Effectiveness in a Time of Rapid Change
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Early detection of perceived risk among users of a UK travel health website compared with internet search activity and media coverage during the 2015–2016 Zika virus outbreak: an observational study
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Forecasting influenza-like illness dynamics for military populations using neural networks and social media
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Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance
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Comparing Twitter data to routine data sources in public health surveillance for the 2015 Pan/Parapan American Games: an ecological study
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Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis
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Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations
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Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study
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The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”
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Effective uses of social media in public health and medicine: a systematic review of systematic reviews
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