2020
DOI: 10.1371/journal.pone.0230322
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Automated monitoring of tweets for early detection of the 2014 Ebola epidemic

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 arch… Show more

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Cited by 21 publications
(20 citation statements)
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“…11 Epidemiological monitoring on online media platforms includes extracting, aggregating, analyzing online textual data in real time, and devising control measures. 12 Although social media data are observational, they can complement traditional surveillance system data. 13 Since the onset of the COVID-19 pandemic, social media users have been playing a role in all stages of knowledge translation, including COVID-19 morbidity and mortality, interventions, spreading rumors and conspiracy theories, and reporting stigma.…”
Section: Introductionmentioning
confidence: 99%
“…11 Epidemiological monitoring on online media platforms includes extracting, aggregating, analyzing online textual data in real time, and devising control measures. 12 Although social media data are observational, they can complement traditional surveillance system data. 13 Since the onset of the COVID-19 pandemic, social media users have been playing a role in all stages of knowledge translation, including COVID-19 morbidity and mortality, interventions, spreading rumors and conspiracy theories, and reporting stigma.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, social media has been identified as a possible place to conduct rumor surveillance [64][65][66]. People often share concerns, mistrust and rumors about vaccines, outbreaks or public health programs on social media before they are detected through a traditional surveillance system [67].…”
Section: Plos Onementioning
confidence: 99%
“…With high mobile phone penetration and android usage, outbreak alerts can be obtained via WhatsApp and other social media sources. This has proven to be useful in previous outbreaks such as the 2014 EVD where it detected alerts three months prior to formal announcements [49].…”
Section: The Need To Engage Community Health Workers In the Fight Agamentioning
confidence: 99%