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Social media: A new tool for outbreak surveillance

https://doi.org/10.1017/ash.2021.225

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.ajic.2015.02.023openalex-snapshot

What can we learn about the Ebola outbreak from tweets?

inferredcites →https://doi.org/10.1016/j.chb.2020.106424openalex-snapshot

COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies

inferredcites →https://doi.org/10.1016/s0092-8240(05)80040-0openalex-snapshot

Contributions to the mathematical theory of epidemics—I

inferredcites →https://doi.org/10.1017/ice.2020.406openalex-snapshot

Understanding public perception of coronavirus disease 2019 (COVID-19) social distancing on Twitter

inferredcites →https://doi.org/10.1038/srep32920openalex-snapshot

High correlation of Middle East respiratory syndrome spread with Google search and Twitter trends in Korea

inferredcites →https://doi.org/10.1055/s-0041-1726478openalex-snapshot

Managing Pandemics with Health Informatics: Successes and Challenges

inferredcites →https://doi.org/10.1093/ofid/ofaa258openalex-snapshot

An “Infodemic”: Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the Coronavirus Disease 2019 Outbreak

inferredcites →https://doi.org/10.1177/1460458214568037openalex-snapshot

Communicating Ebola through social media and electronic news media outlets: A cross-sectional study

inferredcites →https://doi.org/10.1371/journal.pntd.0005295openalex-snapshot

Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data

inferredcites →https://doi.org/10.1371/journal.pntd.0005729openalex-snapshot

Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level

inferredcites →https://doi.org/10.1371/journal.pone.0019467openalex-snapshot

The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic

inferredcites →https://doi.org/10.2105/ajph.2020.305746openalex-snapshot

From “Infodemics” to Health Promotion: A Novel Framework for the Role of Social Media in Public Health

inferredcites →https://doi.org/10.2196/19589openalex-snapshot

Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective Study

inferredcites →https://doi.org/10.2196/25429openalex-snapshot

Early Crowdfunding Response to the COVID-19 Pandemic: Cross-sectional Study

inferredcites →https://doi.org/10.2196/25736openalex-snapshot

The Use of Social Media for Health Research Purposes: Scoping Review

inferredcites →https://doi.org/10.2807/1560-7917.es.2020.25.10.2000199openalex-snapshot

Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020

inferredcites →https://doi.org/10.3390/ijerph17072365openalex-snapshot

Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index

inferredcites →https://doi.org/10.3390/ijgi9060402openalex-snapshot

Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Analysis of Twitter Data on Covid-19 and School Transportation: A Topic Modeling Approach

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Advances in Animal Disease Surveillance and Information Systems and Their Role in Disease Control and Prevention: Implications in Ethiopia

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Communication Effectiveness of Media Health Advisory Messages for the Vulnerable in Managing Risks Associated with Disease Outbreak

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Artificial Intelligence for Public Health

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Using Large Language Models and Prompt Strategies to Annotate Healthcare Posts on Social Media

inferred← citeshttps://doi.org/10.1007/s10115-024-02192-6openalex-snapshot

Disease outbreak prediction using natural language processing: a review

inferred← citeshttps://doi.org/10.1007/s11908-024-00854-8openalex-snapshot

Rise of the Machines - Artificial Intelligence in Healthcare Epidemiology

inferred← citeshttps://doi.org/10.1007/s44197-024-00272-yopenalex-snapshot

Internet-based Surveillance Systems and Infectious Diseases Prediction: An Updated Review of the Last 10 Years and Lessons from the COVID-19 Pandemic

inferred← citeshttps://doi.org/10.1016/j.healthpol.2025.105386openalex-snapshot

Policy makers must adopt agile signal detection tools to strengthen epidemiological surveillance and improve pandemic preparedness

inferred← citeshttps://doi.org/10.1016/j.isci.2024.109713openalex-snapshot

The application of large language models in medicine: A scoping review

inferred← citeshttps://doi.org/10.1016/j.onehlt.2023.100657openalex-snapshot

Spatio-temporal evaluation of social media as a tool for livestock disease surveillance

inferred← citeshttps://doi.org/10.1016/j.vaccine.2023.06.058openalex-snapshot

Public perception of COVID-19 vaccines through analysis of Twitter content and users

inferred← citeshttps://doi.org/10.1016/j.ypmed.2023.107798openalex-snapshot

Social media use in HPV-, cervical cancer-, and cervical screening-related research: A scoping review

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Birds of a feather? Mis- and dis-information on the social media platform X related to avian influenza

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Brave new world: Leveraging artificial intelligence for advancing healthcare epidemiology, infection prevention, and antimicrobial stewardship

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40 priority questions to advance understanding of the risks and opportunities of UK marine heatwaves

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Australasian Institute of Digital Health Summit 2022–Automated Social Media Surveillance for Detection of Vaccine Safety Signals: A Validation Study

inferred← citeshttps://doi.org/10.1055/s-0043-1767685openalex-snapshot

The Voice of the Patient and the Electronic Health Record

inferred← citeshttps://doi.org/10.1080/20477724.2025.2493854openalex-snapshot

Managing epidemics in the digital age: the crucial role of social media in information dissemination

inferred← citeshttps://doi.org/10.1080/23744235.2024.2425712openalex-snapshot

Role of artificial intelligence in early diagnosis and treatment of infectious diseases

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The Politicization of Ivermectin Tweets During the COVID-19 Pandemic

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Integration of Instagram Social Media Data in Forecasting Dengue Fever Cases Using Hybrid ARIMAX-LSTM

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inferred← citeshttps://doi.org/10.1177/22799036261455523openalex-snapshot

Digital epidemiology: Utilizing big data for public health surveillance and disease outbreak prediction

inferred← citeshttps://doi.org/10.1371/journal.pone.0268409openalex-snapshot

Analyzing COVID-19 disinformation on Twitter using the hashtags #scamdemic and #plandemic: Retrospective study

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When the Ground Shakes: Social Media Responses to the 2024 Northeast Earthquake

inferred← citeshttps://doi.org/10.2196/103321openalex-snapshot

Multilingual Disparities in Large Language Model–Based Symptom Detection for Global Disease Surveillance: Evaluation Study

inferred← citeshttps://doi.org/10.2196/38630openalex-snapshot

Reaching Populations at Risk for HIV Through Targeted Facebook Advertisements: Cost-Consequence Analysis

inferred← citeshttps://doi.org/10.2196/preprints.103321openalex-snapshot

Multilingual Disparities in LLM-Based Symptom Detection for Global Disease Surveillance: Findings from High- and Low-Resource Languages (Preprint)

inferred← citeshttps://doi.org/10.2196/preprints.46037openalex-snapshot

Automated Classification of Lay Health Articles Using Natural Language Processing: A Case Study on Pregnancy Health and Postpartum Depression (Preprint)

inferred← citeshttps://doi.org/10.3389/fpsyt.2023.1258887openalex-snapshot

Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression

inferred← citeshttps://doi.org/10.3389/fpubh.2024.1350743openalex-snapshot

Unconventional data, unprecedented insights: leveraging non-traditional data during a pandemic

inferred← citeshttps://doi.org/10.3389/frai.2025.1623090openalex-snapshot

CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis

inferred← citeshttps://doi.org/10.3934/mbe.2025101openalex-snapshot

Forecasting infectious disease outbreak risks from vaccine sentiments on social media: A data-driven dynamical systems approach

inferred← citeshttps://doi.org/10.5772/intechopen.1008709openalex-snapshot

Perspective Chapter: Bridging the Gap – Health Communication and Cervical Cancer Awareness in Low-Income Communities

inferred← citeshttps://doi.org/10.7759/cureus.111303openalex-snapshot

Social Media as a Tool for Public Health: Reviewing the Use of Social Media for Disease Surveillance, Behavioral Change, and Misinformation Control

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