ArticlePloS one2020
Automated monitoring of tweets for early detection of the 2014 Ebola epidemic.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria : Integrating Nigerian Pidgin English (NPE) into the EPIWATCHJournal of medical systems · 2026Article
- Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study.Journal of medical Internet research · 2025Article
- Thinking globally for pandemic early warning systems.Nature medicine · 2025Article
- Article
- Preparation for the next pandemic: challenges in strengthening surveillance.Emerging microbes & infections · 2023Article
- Combating the COVID-19 infodemic using Prompt-Based curriculum learning.Expert systems with applications · 2023Article
- Artificial intelligence in public health: the potential of epidemic early warning systems.The Journal of international medical research · 2023Review
- Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis.JMIR public health and surveillance · 2022Article
- COVID-19 personal health mention detection from tweets using dual convolutional neural network.Expert systems with applications · 2022Article
- How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media.International journal of environmental research and public health · 2022Article
- Preparation for COVID-19 vaccines rollout: Interventions to increase trust, acceptability, and uptake in West African countries.The International journal of health planning and management · 2022Article
- Article
- COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis.The American journal of tropical medicine and hygiene · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
First reported in March 2014, an Ebola epidemic impacted West Africa, most notably Liberia, Guinea and Sierra Leone. We demonstrate the value of social media for automated surveillance of infectious diseases such as the West Africa Ebola epidemic. We experiment with two variations of an existing surveillance architecture: the first aggregates tweets related to different symptoms together, while the second considers tweets about each symptom separately and then aggregates the set of alerts generated by the architecture. Using a dataset of tweets posted from the affected region from 2011 to 2014, we obtain alerts in December 2013, which is three months prior to the official announcement of the epidemic. Among the two variations, the second, which produces a restricted but useful set of alerts, can potentially be applied to other infectious disease surveillance and alert systems.
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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.