Precision Global Health – The case of Ebola

A scoping review

Bibliographic Data

ID19550652
AuthorsNefti-Eboni Bempong (University of Geneva, corresponding author), Rafael Ruiz De Castañeda (0000-0002-2287-0985, University of Geneva), Stefanie Schütte (0000-0002-9511-4419, Sorbonne Paris Cité), Isabelle Bolon (0000-0001-5940-2731, University of Geneva), Olivia Keiser (0000-0001-8191-2789, University of Geneva), Gérard Escher (0000-0002-9515-4736, Ecole polytechnique fédérale de Lausanne), Antoine Flahault (0000-0002-6957-2977, University of Geneva)
Year2019
Volume9
Issue1
Pages010404-010404
Publication date2019-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Global Health (JOURNAL)
Journal identifiersISSN: 2047-2978 • E-ISSN: 2047-2986
PublisherInternational Society of Global Health (PUBLISHER • GB)
DOI10.7189/jogh.09.010404
PMID30701068
OpenAlexW2919811225
LanguageEN
Citations received8
References cited85

BACKGROUND: The 2014-2016 Ebola outbreak across West Africa was devastating, acting not only as a wake-up call for the global health community, but also as a catalyst for innovative change and global action. Improved infectious disease monitoring is the stepping-stone toward better disease prevention and control efforts, and recent research has revealed the potential of digital technologies to transform the field of global health. This scoping review aimed to identify which digital technologies may improve disease prevention and control, with regard to the 2014-2016 Ebola outbreak in West Africa. METHODS: A search was conducted on PubMed, EBSCOhost and Web of Science, with search dates ranging from 2013 (01/01/2013) - 2017 (13/06/2017). Data was extracted into a summative table and data synthesized through grouping digital technology domains, using narrative and graphical methods. FINDINGS: The scoping review identified 82 full-text articles, and revealed big data (48%, n = 39) and modeling (26%, n = 21) technologies to be the most utilized within the Ebola outbreak. Digital technologies were mainly used for surveillance purposes (90%, n = 74), and key challenges were related to scalability and misinformation from social media platforms. INTERPRETATION: Digital technologies demonstrated their potential during the Ebola outbreak through: more rapid diagnostics, more precise predictions and estimations, increased knowledge transfer, and raising situational awareness through mHealth and social media platforms such as Twitter and Weibo. However, better integration into both citizen and health professionals' communities is necessary to maximise the potential of digital technologies

Citizen science · Computer security · Data science · Digital health · Disease surveillance · Ebola virus · Emerging technologies · Health care · mHealth · Misinformation · Outbreak · Political science · Psychological intervention · Public health · Social media · World Wide Web · Computer Science · COVID-19 Digital Contact Tracing · Data-Driven Disease Surveillance · Medicine · Nursing · Viral Infections and Outbreaks Research

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