SynthesisAmerican journal of infection control2018
Social media and outbreaks of emerging infectious diseases: A systematic review of literature.
Synthesis in American journal of infection control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
92 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- When Infodemic Meets Epidemic: Systematic Literature Review.JMIR public health and surveillance · 2025Pooled it
- Infodemics and health misinformation: a systematic review of reviews.Bulletin of the World Health Organization · 2022Pooled it
- Botox (OnabotulinumtoxinA) for Treatment of Migraine Symptoms: A Systematic Review.Pain research & management · 2022Pooled it
- Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.Frontiers in public health · 2021Pooled it
- Social media based surveillance systems for healthcare using machine learning: A systematic review.Journal of biomedical informatics · 2020Pooled it
- The relationship between public health emergencies and suicidal ideation: the mediating role of fear of missing out and the moderating role of conscientiousness.BMC psychology · 2026Article
- Assessment of healthcare worker preparedness and health literacy for Marburg virus disease in Nigeria: A cross-sectional study.Southern African journal of infectious diseases · 2026Article
- A bimodal longitudinal investigation on changes in sentiments over social media interactions owing to COVID-19 pandemic.Scientific reports · 2025Article
- Understanding healthcare professionals' participation in social media health knowledge popularization: insights from the UTAUT model and perceived risk theory.BMC health services research · 2025Article
- Health Literacy and Sociodemographic Determinants of Cyberchondria: A Cross-Sectional Study Among Outpatients of a University Hospital in Turkey.Healthcare (Basel, Switzerland) · 2025Article
- Tweeples' concerns during the early phase of COVID-19 Pandemic - Lessons for the future public health communications: A Twitter-based mixed methods study.Journal of family medicine and primary care · 2025Article
- Local response to global risk: a case study of risk perception and communication on Chinese social media regarding Fukushima's treated radioactive water discharge.Scientific reports · 2025Article
- Readiness to manage Ebola Virus Disease among emergency healthcare workers in Uganda: a nationwide multicenter survey.BMC health services research · 2024Article
- Article
- The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review.JMIR infodemiology · 2024Article
- Navigating the digital frontier during the COVID-19 pandemic and EVALI epidemic: The impact of social media on public health.Public health challenges · 2024Article
- Readiness To Manage Ebola Virus Disease Among Emergency Healthcare Workers in Uganda: A Nationwide Multicenter Survey.Research square · 2024Article
- Identification of Early Warning Signals of Infectious Diseases in Hospitals by Integrating Clinical Treatment and Disease Prevention.Current medical science · 2024Article
- Mining Social Media Data for Influenza Vaccine Effectiveness Using a Large Language Model and Chain-of-Thought Prompting.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Adoption intention of e-government application for public health risk communication: Risk information, social media competence and trust in the government.Journal of public health research · 2024Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe public often turn to social media for information during emerging infectious diseases (EIDs) outbreaks. This study identified the major approaches and assessed the rigors in published research articles on EIDs and social media.
methodsWe searched 5 databases for published journal articles on EIDs and social media. We then evaluated these articles in terms of EIDs studied, social media examined, theoretical frameworks, methodologic approaches, and research findings.
resultsThirty articles were included in the analysis (published between January 1, 2010, and March 1, 2016). EIDs that received most scholarly attention were H1N1 (or swine flu, n = 15), Ebola virus (n = 10), and H7N9 (or avian flu/bird flu, n = 2). Twitter was the most often studied social media (n = 17), followed by YouTube (n = 6), Facebook (n = 6), and blogs (n = 6). Three major approaches in this area of inquiry are identified: (1) assessment of the public's interest in and responses to EIDs, (2) examination of organizations' use of social media in communicating EIDs, and (3) evaluation of the accuracy of EID-related medical information on social media.
conclusionsAlthough academic studies of EID communication on social media are on the rise, they still suffer from a lack of theorization and a need for more methodologic rigor.
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Registered trials
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.