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What can we learn about the Ebola outbreak from tweets?

https://doi.org/10.1016/j.ajic.2015.02.023
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What this work says

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

inferredcites →https://doi.org/10.1002/for.3980040103openalex-snapshot
Exponential smoothing: The state of the art
inferredcites →https://doi.org/10.1016/j.amepre.2013.02.025openalex-snapshot
A Practical Approach for Content Mining of Tweets
inferredcites →https://doi.org/10.1016/j.annemergmed.2014.10.010openalex-snapshot
Ebola Viral Disease Outbreak—West Africa, 2014
inferredcites →https://doi.org/10.1016/j.annepidem.2003.09.021openalex-snapshot
Applying a new conceptual framework to evaluate tuberculosis surveillance and action performance and measure the costs, Hillsborough County, Florida, 2002
inferredcites →https://doi.org/10.1016/j.cll.2006.05.001openalex-snapshot
Viral Hemorrhagic Fevers
inferredcites →https://doi.org/10.1016/j.resuscitation.2012.10.017openalex-snapshot
Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication
inferredcites →https://doi.org/10.1016/s0140-6736(14)61119-3openalex-snapshot
Ebola in Sierra Leone: a call for action
inferredcites →https://doi.org/10.1016/s0140-6736(14)61147-8openalex-snapshot
Ebola emergency meeting establishes new control centre
inferredcites →https://doi.org/10.1016/s0262-4079(12)61545-0openalex-snapshot
Big Brother is watching Facebook and Twitter
inferredcites →https://doi.org/10.1016/s1473-3099(01)00012-3openalex-snapshot
Infectious diseases surveillance update
inferredcites →https://doi.org/10.1016/s1473-3099(13)70146-4openalex-snapshot
Infectious disease surveillance update
inferredcites →https://doi.org/10.1016/s1473-3099(14)70932-6openalex-snapshot
Infectious diseases surveillance update
inferredcites →https://doi.org/10.1037/e307182005-001openalex-snapshot
What is Syndromic Surveillance?
inferredcites →https://doi.org/10.1038/nm1153openalex-snapshot
Research on infectious diseases requires better coordination
inferredcites →https://doi.org/10.1056/nejme1413139openalex-snapshot
Ebola and Quarantine
inferredcites →https://doi.org/10.1056/nejmp1405314openalex-snapshot
Ebola — A Growing Threat?
inferredcites →https://doi.org/10.1093/heapol/czl034openalex-snapshot
Exploring the international arena of global public health surveillance
inferredcites →https://doi.org/10.1099/vir.0.067199-0openalex-snapshot
The 2014 Ebola virus disease outbreak in West Africa
inferredcites →https://doi.org/10.1111/1348-0421.12181openalex-snapshot
Ebola and Marburg virus diseases in Africa: Increased risk of outbreaks in previously unaffected areas?
inferredcites →https://doi.org/10.1136/bjsm.2010.080341openalex-snapshot
‘What's happening?’ A content analysis of concussion-related traffic onTwitter
inferredcites →https://doi.org/10.1136/bmj.g4895openalex-snapshot
Two doctors die from Ebola and lives of others under threat in West Africa
inferredcites →https://doi.org/10.1177/0022034511415273openalex-snapshot
Public Health Surveillance of Dental Pain via Twitter
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/10.18356/ff4217a4-enopenalex-snapshot
A social media boom begins in Africa
inferredcites →https://doi.org/10.2105/ajph.2009.180489openalex-snapshot
The Next Public Health Revolution: Public Health Information Fusion and Social Networks
inferredcites →https://doi.org/10.2807/1560-7917.es2014.19.40.20920openalex-snapshot
Transmission dynamics and control of Ebola virus disease outbreak in Nigeria, July to September 2014
inferredcites →https://doi.org/10.3201/eid1711.110827openalex-snapshot
Lessons Learned during Public Health Response to Cholera Epidemic in Haiti and the Dominican Republic
inferredcites →https://doi.org/10.32388/91aeazopenalex-snapshot
Ebola Hemorrhagic Fever
inferredcites →https://doi.org/10.4103/2225-6482.153854openalex-snapshot
Ebola virus disease outbreak in West Africa

What points at this work

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

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Learning Through the Social Conditions Experienced by Orphans During #Covid-19 with Social Media Mining
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Systematic review of the use of big data to improve surgery in low- and middle-income countries
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A WSN‐Based WbCNF Algorithm to Enable Cloud Computing and Big Data Analytics in Healthcare
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Public Perception of the Risks Associated with Infectious Diseases in Poland: Ebola and Influenza and Their Impact on the Attitude to Vaccination
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Syndromic Surveillance of Infectious Diseases
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Syndromic Surveillance of Infectious Diseases
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Text Mining and Real-Time Analytics of Twitter Data: A Case Study of Australian Hay Fever Prediction
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Enabling Precision Health Approaches for Symptom Science Through Big Data and Data Science
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How Infectious Diseases Have Influenced Our Culture
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Zika Outbreak of 2016: Insights from Twitter
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Social Media and Public Health Emergency of International Concern: The COVID-19 Outbreak
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Convergence Between IoT and AI for Smart Health and Predictive Medicine
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Machine Learning Identification of Self-reported COVID-19 Symptoms from Tweets in Canada
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Social Monitoring for Public Health
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Sentiment Analysis on COVID-19 Tweets
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The Global Evolution of Clinical Practice During a Pandemic
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Response to Disease Out breaks in Africa: A Call to Build Resilient Health Systems
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Privacy Preservation in Secure Multi-Cloud Data Fusion for Infectious Disease Analysis
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Precision Medicine in Infectious Disease
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Disease outbreak prediction using natural language processing: a review
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Lessons from the Ebola Outbreak: Action Items for Emerging Infectious Disease Preparedness and Response
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Social media information sharing for natural disaster response
inferred← citeshttps://doi.org/10.1007/s11908-020-00723-0openalex-snapshot
To Tweet or Not to Tweet—a Review of the Viral Power of Twitter for Infectious Diseases
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Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak
inferred← citeshttps://doi.org/10.1007/s13278-022-00927-3openalex-snapshot
Social media activity forecasting with exogenous and endogenous signals
inferred← citeshttps://doi.org/10.1007/s42001-019-00044-wopenalex-snapshot
Personal stories matter: topic evolution and popularity among pro- and anti-vaccine online articles
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Cost-effective time-efficient subnational-level surveillance using Twitter: Kingdom of Saudi Arabia case study
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Early warning for emerging infectious disease outbreaks: Digital disease surveillance for public health preparedness and response
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Ebola virus disease and social media: A systematic review
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Virtual Zika transmission after the first U.S. case: who said what and how it spread on Twitter
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Social media and outbreaks of emerging infectious diseases: A systematic review of literature
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Tweeting about measles during stages of an outbreak: A semantic network approach to the framing of an emerging infectious disease
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Personal protective equipment in Covid-19: Evidence-based quality and analysis of YouTube videos after one year of pandemic
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A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia
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Decoding the sentiment dynamics of online retailing customers: Time series analysis of social media
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The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations
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Comparing tweet sentiments in megacities using machine learning techniques: In the midst of COVID-19
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Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities
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Utility and potential of rapid epidemic intelligence from internet-based sources
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Characterizing diabetes, diet, exercise, and obesity comments on Twitter
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“Technology enabled Health” – Insights from twitter analytics with a socio-technical perspective
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Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs
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Humanitarian health computing using artificial intelligence and social media: A narrative literature review
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The emerging use of social media for health-related purposes in low and middle-income countries: A scoping review
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Qualitative and quantitative evaluation of the use of Twitter as a tool of antimicrobial stewardship
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Mutual influences between message volume and emotion intensity on emerging infectious diseases: An investigation with microblog data
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A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts
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Big Data, Algorithmic Governmentality and the Regulation of Pandemic Risk
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Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media
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Evaluation of Twitter data for an emerging crisis: an application to the first wave of COVID-19 in the UK
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Opinion analysis and aspect understanding during covid-19 pandemic using BERT-Bi-LSTM ensemble method
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Development of an early alert model for pandemic situations in Germany
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Exploratory Spatiotemporal Analysis in Risk Communication during the MERS Outbreak in South Korea
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Tweeting Jokes, Tweeting Hope: Humor Practices during the 2014 Ebola Outbreak
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The Infectious Disease Threat (IDT) Appraisal Model: How Perceptions of IDT Predictability and Controllability Predict Individuals’ Responses to Risks
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Sexual transmission of Zika virus on Twitter: A depoliticised epidemic
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What public health campaigns can learn from people’s Twitter reactions on mask-wearing and COVID-19 Vaccines: a topic modeling approach
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“#Domestic Violence Isn’t Stopping for Coronavirus …….”: Intimate Partner Violence Conversations on Twitter during the Early Days of the COVID-19 Pandemic
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Twitter for travel medicine providers
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An “Infodemic”: Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the Coronavirus Disease 2019 Outbreak
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Practical Feelings
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Copyright Page
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.002.0006openalex-snapshot
Notes
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.003.0001openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.003.0002openalex-snapshot
Toward an Emotion Practice Approach
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.003.0003openalex-snapshot
Nurses
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.003.0004openalex-snapshot
Sports Fans
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.003.0005openalex-snapshot
#Ebola
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.003.0006openalex-snapshot
Viral Fear
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.003.0007openalex-snapshot
Conclusion
inferred← citeshttps://doi.org/10.1093/oso/9780197613689.005.0001openalex-snapshot
Capturing Emotions
inferred← citeshttps://doi.org/10.1097/ipc.0000000000000440openalex-snapshot
Use of Twitter to Educate and Engage Surgeons in Infectious Diseases and Antimicrobial Stewardship
inferred← citeshttps://doi.org/10.1097/jom.0000000000001590openalex-snapshot
Insights from Twitter About Public Perceptions of Asthma, COPD, and Exposures
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Interdisciplinary optimism? Sentiment analysis of Twitter data
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Re-emergency of Ebola in the Democratic Republic of Congo: synergizing the preparedness and response measures with the sustainable development goals
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Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1108/k-05-2020-0258openalex-snapshot
Analysis of public reactions to the novel Coronavirus (COVID-19) outbreak on Twitter
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Bibliometric analysis of literature on social media trends during the COVID-19 pandemic
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Usage of Scientific References in MMR Vaccination Debates on Twitter
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Identifying personal health experience tweets with deep neural networks
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Post COVID-19 Intelligent Public Healthcare Management
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Immediate and long-term effects of 2016 Zika Outbreak: A Twitter-based study
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Early alert of an outbreak based on event detection and tracking on social networks: The case of Covid-19 and meningitis
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A Warning System for the Return of COVID-19 Using Social Media Data
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Unleashing the Power of Social Media: A Comprehensive Review of Event Detection Methods
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Analysis of US Covid-19 Twitter Data Social Interest and Topic Changes
inferred← citeshttps://doi.org/10.1109/icicis52592.2021.9694202openalex-snapshot
Unlocking the Public Perception of COVID-19 Vaccination Process on Social Media
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The application of blockchain technology in the early warning and monitoring of infectious diseases
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A Sentiment Analysis Framework on COVID-19 in Major Cities of Malaysia based on Tweets using Machine Learning Classification Model
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Sentiment Analysis for Twitter Chatter During the Early Outbreak Period of COVID-19
inferred← citeshttps://doi.org/10.1109/taslp.2021.3096653openalex-snapshot
Sentiment Time Series Calibration for Event Detection
inferred← citeshttps://doi.org/10.1109/tmc.2022.3145745openalex-snapshot
Privacy Preservation in Multi-Cloud Secure Data Fusion for Infectious-Disease Analysis
inferred← citeshttps://doi.org/10.1109/wiiat50758.2020.00131openalex-snapshot
A Social Media Time-Series Data Analytics Approach for Digital Epidemiology
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Text mining applications to support health library practice: A case study on marijuana legalization Twitter analytics
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Identifying public concerns and reactions during the COVID‐19 pandemic on Twitter: A text‐mining analysis
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Lending ears to unheard voices: An empirical analysis of user‐generated content on social media
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#WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1136/bmjgh-2023-013515openalex-snapshot
The role of social media in public health crises caused by infectious disease: a scoping review
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Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan
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A review of deep learning techniques for disaster management in social media: trends and challenges
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Techniques and Approaches for Disease Outbreak Prediction
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BioNex
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Moral Panic through the Lens of Twitter
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Identifying Multi-dimensional Information from Microblogs During Epidemics
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Research on Prediction of Infectious Diseases, their spread via Social Media and their link to Education
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Macro Trends and the Future of Public Health Practice
inferred← citeshttps://doi.org/10.11604/pamj.2017.26.229.12072openalex-snapshot
Connaissances et attitudes des relais communautaires sur les fièvres hémorragiques à virus Lassa et Ebola dans le département de la Donga (Nord Bénin)
inferred← citeshttps://doi.org/10.1177/003335491613100312openalex-snapshot
Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors
inferred← citeshttps://doi.org/10.1177/13272314241296866openalex-snapshot
Data mining applications in risk research: A systematic literature review
inferred← citeshttps://doi.org/10.1177/1460458220962652openalex-snapshot
The social life of COVID-19: Early insights from social media monitoring data collected in Poland
inferred← citeshttps://doi.org/10.1177/15404153211020453openalex-snapshot
Impact of COVID-19: A Text Mining Analysis of Twitter Data in Spanish Language
inferred← citeshttps://doi.org/10.1177/1747016117738559openalex-snapshot
Mining social media data: How are research sponsors and researchers addressing the ethical challenges?
inferred← citeshttps://doi.org/10.1177/20570473231209077openalex-snapshot
The 2021 Nigerian Twitter ban: A text-analytics and survey insight into public reactions and outcomes in the early weeks of the ban
inferred← citeshttps://doi.org/10.1186/s12879-016-1787-5openalex-snapshot
Risk of MERS importation and onward transmission: a systematic review and analysis of cases reported to WHO
inferred← citeshttps://doi.org/10.1186/s12906-023-03856-6openalex-snapshot
What are the ways in which social media is used in the context of complementary and alternative medicine in the health and medical scholarly literature? a scoping review
inferred← citeshttps://doi.org/10.1186/s12916-024-03566-xopenalex-snapshot
Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions
inferred← citeshttps://doi.org/10.12809/hkmj219556openalex-snapshot
Public awareness of preventive measures against COVID-19: an infodemiology study
inferred← citeshttps://doi.org/10.13016/m24rdv-a0ggopenalex-snapshot
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs
inferred← citeshttps://doi.org/10.1371/currents.outbreaks.23badd9821870a002fa86bef6893c01dopenalex-snapshot
The Ebola Crisis and the Corresponding Public Behavior: A System Dynamics Approach.
inferred← citeshttps://doi.org/10.1371/currents.outbreaks.4e35a9446b89c1b46f8308099840d48fopenalex-snapshot
Information Circulation in times of Ebola: Twitter and the Sexual Transmission of Ebola by Survivors
inferred← citeshttps://doi.org/10.1371/currents.outbreaks.fa814fb2bec36e29b718ab6af66124faopenalex-snapshot
Health Information Needs and Health Seeking Behavior During the 2014-2016 Ebola Outbreak: A Twitter Content Analysis
inferred← citeshttps://doi.org/10.1371/journal.pone.0197337openalex-snapshot
Public reaction to Chikungunya outbreaks in Italy—Insights from an extensive novel data streams-based structural equation modeling analysis
inferred← citeshttps://doi.org/10.1371/journal.pone.0247854openalex-snapshot
CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region
inferred← citeshttps://doi.org/10.1371/journal.pone.0264794openalex-snapshot
Emotion diffusion effect: Negative sentiment COVID-19 tweets of public organizations attract more responses from followers
inferred← citeshttps://doi.org/10.1371/journal.pone.0279990openalex-snapshot
“Tell us what’s going on”: Exploring the information needs of pregnant and post-partum women in Australia during the pandemic with ‘Tweets’, ‘Threads’, and women’s views
inferred← citeshttps://doi.org/10.1371/journal.pone.0282101openalex-snapshot
Surveillance of communicable diseases using social media: A systematic review
inferred← citeshttps://doi.org/10.14321/rhetpublaffa.22.2.0177openalex-snapshot
Public Health Experts, Expertise, and Ebola: A Relational Theory of Ethos
inferred← citeshttps://doi.org/10.14745/ccdr.v41i09a02openalex-snapshot
Big Data and the Global Public Health Intelligence Network (GPHIN)
inferred← citeshttps://doi.org/10.14745/ccdr.v46i06a03openalex-snapshot
A call for an ethical framework when using social media data for artificial intelligence applications in public health research
inferred← citeshttps://doi.org/10.14745/ccdr.v46i06a03fopenalex-snapshot
Un appel à un cadre éthique lors de l’utilisation des données des médias sociaux pour des applications d’intelligence artificielle dans la recherche en santé publique
inferred← citeshttps://doi.org/10.15302/j-eng-2015075openalex-snapshot
Big Data for Precision Medicine
inferred← citeshttps://doi.org/10.15626/ishimr.2020.04openalex-snapshot
Understanding reactions to swine flu, Ebola, and the Zika virus using Twitter data: an outlook for future infectious disease outbreaks
inferred← citeshttps://doi.org/10.15628/holos.2020.11147openalex-snapshot
#FIQUEEMCASA: ANÁLISE DE SENTIMENTO DOS USUÁRIOS DO TWITTER EM RELAÇÃO AO COVID19
inferred← citeshttps://doi.org/10.1590/s1980-220x2016021603219openalex-snapshot
Social networks in nursing work processes: an integrative literature review
inferred← citeshttps://doi.org/10.16967/23898186.742openalex-snapshot
Comunicación en redes sociales en escenarios de pandemia o epidemia: un análisis bibliométrico
inferred← citeshttps://doi.org/10.17755/esosder.1035934openalex-snapshot
MEDIA USE AND LOCKDOWNS: NAVIGATING EMOTIONAL AND MENTAL STATES DURING THE COVID-19 PANDEMIC
inferred← citeshttps://doi.org/10.18092/ulikidince.475092openalex-snapshot
SOSYAL MEDYA MADENCİLİĞİ İLE FİRMALARIN TWITTER VERİLERİNİN İNCELENMESİ
inferred← citeshttps://doi.org/10.18267/j.aip.138openalex-snapshot
The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review
inferred← citeshttps://doi.org/10.18653/v1/w16-29openalex-snapshot
Proceedings of the 15th Workshop on Biomedical Natural Language Processing
inferred← citeshttps://doi.org/10.18653/v1/w16-2917openalex-snapshot
Construction of a Personal Experience Tweet Corpus for Health Surveillance
inferred← citeshttps://doi.org/10.19070/2379-1586-1600026openalex-snapshot
HIV/AIDS and the Millennium Development Goals: A Public Sentiment Analysis of World AIDS Day Twitter Chat
inferred← citeshttps://doi.org/10.20318/recs.2018.4488openalex-snapshot
A year of cancer coverage in the Spanish written press = Un año de cobertura sobre el cáncer en la prensa escrita española
inferred← citeshttps://doi.org/10.20318/recs.2018.4497openalex-snapshot
Comunicación y salud: La gestión de la crisis del Ébola a través de las redes sociales = Communication and Health: The management of the Ebola Crisis Through Social Networks
inferred← citeshttps://doi.org/10.20318/recs.2020.5459openalex-snapshot
La propagación digital del coronavirus: Midiendo el engagement del entretenimiento en la red social emergente TikTok
inferred← citeshttps://doi.org/10.21032/jhis.2026.51.1.12openalex-snapshot
Topic Modeling of Social Media Sleep Health Discourse Using BERTopic: A Study of Naver Blog Big Data
inferred← citeshttps://doi.org/10.2166/aqua.2024.063openalex-snapshot
Withdrawn: The crisis communication of the COVID-19 pandemic in media discourse: Text mining for infectious disease frames and environmental pollution
inferred← citeshttps://doi.org/10.2174/9789815165432124070015openalex-snapshot
Unmasking the Sentiments of People Towards Pandemic: Twitter Sentiment Analysis in RealTime
inferred← citeshttps://doi.org/10.2196/10262openalex-snapshot
How Twitter Can Support the HIV/AIDS Response to Achieve the 2030 Eradication Goal: In-Depth Thematic Analysis of World AIDS Day Tweets
inferred← citeshttps://doi.org/10.2196/12226openalex-snapshot
Assessing Epidemic Diseases and Public Opinion through Popular Search Behavior Using Non-English Language Google Trends (Preprint)
inferred← citeshttps://doi.org/10.2196/13680openalex-snapshot
The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review
inferred← citeshttps://doi.org/10.2196/18576openalex-snapshot
Surveillance of COVID-19 in the General Population Using an Online Questionnaire: Report From 18,161 Respondents in China
inferred← citeshttps://doi.org/10.2196/18796openalex-snapshot
Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data
inferred← citeshttps://doi.org/10.2196/22624openalex-snapshot
Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study
inferred← citeshttps://doi.org/10.2196/24883openalex-snapshot
Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis
inferred← citeshttps://doi.org/10.2196/25431openalex-snapshot
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis
inferred← citeshttps://doi.org/10.2196/25636openalex-snapshot
Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis
inferred← citeshttps://doi.org/10.2196/28074openalex-snapshot
Association Between Public Opinion and Malaysian Government Communication Strategies About the COVID-19 Crisis: Content Analysis of Image Repair Strategies in Social Media
inferred← citeshttps://doi.org/10.2196/32449openalex-snapshot
Using Natural Language Processing to Explore Mental Health Insights From UK Tweets During the COVID-19 Pandemic: Infodemiology Study
inferred← citeshttps://doi.org/10.2196/34305openalex-snapshot
Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study
inferred← citeshttps://doi.org/10.2196/36211openalex-snapshot
Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis
inferred← citeshttps://doi.org/10.2196/55642openalex-snapshot
When Infodemic Meets Epidemic: Systematic Literature Review
inferred← citeshttps://doi.org/10.2196/66237openalex-snapshot
Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis
inferred← citeshttps://doi.org/10.2196/mental.7797openalex-snapshot
Stopping Antidepressants and Anxiolytics as Major Concerns Reported in Online Health Communities: A Text Mining Approach
inferred← citeshttps://doi.org/10.2196/preprints.19460openalex-snapshot
Influence of News Media and Public Health Agencies during Pre-Pandemic COVID-19: Twitter Analysis (Preprint)
inferred← citeshttps://doi.org/10.2196/publichealth.5059openalex-snapshot
The Measles Vaccination Narrative in Twitter: A Quantitative Analysis
inferred← citeshttps://doi.org/10.2196/publichealth.7181openalex-snapshot
Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA
inferred← citeshttps://doi.org/10.2200/s00791ed1v01y201707icr060openalex-snapshot
Social Monitoring for Public Health
inferred← citeshttps://doi.org/10.22323/2.19050209openalex-snapshot
COVID-19 infections on international celebrities: self presentation and tweeting down pandemic awareness
inferred← citeshttps://doi.org/10.23750/abm.v91i9-s.10038openalex-snapshot
Monitoring emergency calls and social networks for COVID-19 surveillance. To learn for the future: The outbreak experience of the Lombardia region in Italy.
inferred← citeshttps://doi.org/10.2478/dim-2021-0001openalex-snapshot
Using Open Data to Monitor the Status of a Metropolitan Area: The Case of the Metropolitan Area of Turin
inferred← citeshttps://doi.org/10.26069/greynet-2019-000.025-ggopenalex-snapshot
Public sharing of medical advice using social media: an analysis of Twitter
inferred← citeshttps://doi.org/10.26481/dis.20220922hlopenalex-snapshot
Heart sounds
inferred← citeshttps://doi.org/10.30534/ijatcse/2019/86832019openalex-snapshot
A survey on prediction approaches for epidemic disease outbreaks based on social media data
inferred← citeshttps://doi.org/10.30589/pgr.v6i3.596openalex-snapshot
An Exploration Respond of COVID-19 Policy through Social Media in Indonesia
inferred← citeshttps://doi.org/10.3145/epi.2020.may.08openalex-snapshot
Fake news y coronavirus: detección de los principales actores y tendencias a través del análisis de las conversaciones en Twitter
inferred← citeshttps://doi.org/10.3145/epi.2022.nov.07openalex-snapshot
Digital footprints of Kashmiri Pandit migration on Twitter
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