What can we learn about the Ebola outbreak from tweets? - 31/05/15
Abstract |
Background |
Twitter can address the challenges of the current Ebola outbreak surveillance. The aims of this study are to demonstrate the use of Twitter as a real-time method of Ebola outbreak surveillance to monitor information spread, capture early epidemic detection, and examine content of public knowledge and attitudes.
Methods |
We collected tweets mentioning Ebola in English during the early stage of the current Ebola outbreak from July 24-August 1, 2014. Our analysis for this observational study includes time series analysis with geologic visualization to observe information dissemination and content analysis using natural language processing to examine public knowledge and attitudes.
Results |
A total of 42,236 tweets (16,499 unique and 25,737 retweets) mentioning Ebola were posted and disseminated to 9,362,267,048 people, 63 times higher than the initial number. Tweets started to rise in Nigeria 3-7 days prior to the official announcement of the first probable Ebola case. The topics discussed in tweets include risk factors, prevention education, disease trends, and compassion.
Conclusion |
Because of the analysis of a unique Twitter dataset captured in the early stage of the current Ebola outbreak, our results provide insight into the intersection of social media and public health outbreak surveillance. Findings demonstrate the usefulness of Twitter mining to inform public health education.
Le texte complet de cet article est disponible en PDF.Key Words : Ebola outbreak, Social media, Data mining
Plan
| Author contributions: Yoon and Odlum designed the study. All of the authors drafted the manuscript, critically revised the manuscript for important intellectual content, had full access to all of the data in the study, and take responsibility for the integrity of the data and the accuracy of the data analysis. |
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| Disclaimer: This study used publically available data, and analyses meet the criterion for exemption §46.101(b)4 research, involving the collection or study of existing data, documents, records, pathologic specimens, or diagnostic specimens, if these sources are publicly available, or if the information is recorded by the investigator in such a manner that subjects cannot be identified, directly or through identifiers linked to the subjects. |
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| Conflicts of interest: None to report. |
Vol 43 - N° 6
P. 563-571 - juin 2015 Retour au numéro
Article précédent
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- Rebecca Schnall, Sarah J. Iribarren
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