Evidence map›Paper›PMID 26437454›Full record

ArticlePloS one2015

Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review.

Lauren E Charles-Smith, Tera L Reynolds, Mark A Cameron, Mike Conway, Eric H Y Lau, Jennifer M Olsen, Julie A Pavlin, Mika Shigematsu, Laura C Streichert, Katie J Suda and 1 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 12 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

120 citing papers in PubMed, 12 syntheses or guidelines pooled it.

  1. Pooled it
  2. When Infodemic Meets Epidemic: Systematic Literature Review.JMIR public health and surveillance · 2025
    Pooled it
  3. Pooled it
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  5. Social Media Use for Health Purposes: Systematic Review.Journal of medical Internet research · 2021
    Pooled it
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  12. Twitter as a Tool for Health Research: A Systematic Review.American journal of public health · 2017
    Pooled it
  13. Observational
  14. Review
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60 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lauren E Charles-SmithData Sciences and Analytics Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Tera L ReynoldsInternational Society for Disease Surveillance, Boston, Massachusetts, United States of America.
Mark A CameronCommonwealth Scientific and Industrial Research Organization Digital Productivity Flagship, Canberra, Australia.
Mike ConwayDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States of America.
Eric H Y LauSchool of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Jennifer M OlsenSkoll Global Threats Fund, San Francisco, California, United States of America.
Julie A PavlinHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, United States of America.
Mika ShigematsuNational Institute of Infectious Diseases, Shinjuku-Ku, Tokyo, Japan.
Laura C StreichertInternational Society for Disease Surveillance, Boston, Massachusetts, United States of America.
Katie J SudaCenter of Innovation for Complex Chronic Healthcare, United States Department of Veterans Affairs, Hines, Illinois, United States of America.
Courtney D CorleyData Sciences and Analytics Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America.

Funding

Utilizing social media as a resource for mental health surveillanceR00LM011393 · NLM · UNIVERSITY OF UTAH · PI CONWAY, MICHAEL AMBROSE · 2014 to 2016
$667k
NLM NIH HHS R00 LM011393
6 · The paper itself

Abstract

objectiveResearch 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: Can social media be integrated into disease surveillance practice and outbreak management to support and improve public health?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).

conclusionsThe 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.

Indexed as

BloggingDisease OutbreaksPublic HealthSocial MediaCommunicable DiseasesDisease ManagementHumans

Identifiers

PMID26437454
PMCPMC4593536

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.