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dc.contributor.authorTom-Aba, Daniel
dc.contributor.authorNguku, Patrick Mboya
dc.contributor.authorArinze, Chinedu Chukwujekwu
dc.contributor.authorKrause, Gerard
dc.date.accessioned2018-11-23T15:29:02Z
dc.date.available2018-11-23T15:29:02Z
dc.date.issued2018-10-29
dc.identifier.issn2369-2960
dc.identifier.pmid30373727
dc.identifier.doi10.2196/publichealth.9015
dc.identifier.urihttp://hdl.handle.net/10033/621581
dc.description.abstractThe use of mobile phone information technology (IT) in the health sector has received much attention especially during the 2014-2015 Ebola virus disease (EVD) outbreak. mHealth can be attributed to a major improvement in EVD control, but there lacks an overview of what kinds of tools were available and used based on the functionalities they offer. We aimed to conduct a systematic review of mHealth tools in the context of the recent EVD outbreak to identify the most promising approaches and guide further mHealth developments for infectious disease control. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched for all reports on mHealth tools developed in the context of the 2014-2015 EVD outbreak published between January 1, 2014 and December 31, 2015 on Google Scholar, MEDLINE, CAB Abstracts (Global Health), POPLINE, and Web of Science in any language using the search strategy: ("outbreak" OR "epidemic") AND ("mobile phone" OR "smartphone" OR "smart phone" OR "mobile phone" OR "tablet" OR "mHealth") AND ("Ebola" OR "EVD" OR "VHF" OR "Ebola virus disease" OR "viral hemorrhagic fever") AND ("2014" OR "2015"). The relevant publications were selected by 2 independent reviewers who applied a standardized data extraction form on the tools' functionalities. We identified 1220 publications through the search strategy, of which 6.31% (77/1220) were original publications reporting on 58 specific mHealth tools in the context of the EVD outbreak. Of these, 62% (34/55) offered functionalities for surveillance, 22% (10/45) for case management, 18% (7/38) for contact tracing, and 6% (3/51) for laboratory data management. Only 3 tools, namely Community Care, Sense Ebola Followup, and Surveillance and Outbreak Response Management and Analysis System supported all four of these functionalities.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectEbola virus diseaseen_US
dc.subjectWest Africaen_US
dc.subjectcase managementen_US
dc.subjectcontact tracingen_US
dc.subjecteHealthen_US
dc.subjectmHealthen_US
dc.subjectsystematic reviewen_US
dc.titleAssessing the Concepts and Designs of 58 Mobile Apps for the Management of the 2014-2015 West Africa Ebola Outbreak: Systematic Review.en_US
dc.typeArticleen_US
dc.contributor.departmentHZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.en_US
refterms.dateFOA2018-11-23T15:29:02Z
dc.source.journaltitleJMIR public health and surveillance


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