Download
s12889-020-10126-4.pdf 1,14MB
WeightNameValue
1000 Titel
  • The use of mobile phones for the prevention and control of arboviral diseases: a scoping review
1000 Autor/in
  1. Carrillo, Maria Angelica |
  2. Kroeger, Axel |
  3. Cardenas Sanchez, Rocio |
  4. Diaz Monsalve, Sonia |
  5. Runge-Ranzinger, Silvia |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-01-09
1000 Erschienen in
1000 Quellenangabe
  • 21(1):110
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12889-020-10126-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796697/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!The rapid expansion of dengue, Zika and chikungunya with large scale outbreaks are an increasing public health concern in many countries. Additionally, the recent coronavirus pandemic urged the need to get connected for fast information transfer and exchange. As response, health programmes have -among other interventions- incorporated digital tools such as mobile phones for supporting the control and prevention of infectious diseases. However, little is known about the benefits of mobile phone technology in terms of input, process and outcome dimensions. The purpose of this scoping review is to analyse the evidence of the use of mobile phones as an intervention tool regarding the performance, acceptance, usability, feasibility, cost and effectiveness in dengue, Zika and chikungunya control programmes.!##!Methods!#!We conducted a scoping review of studies and reports by systematically searching: i) electronic databases (PubMed, PLOS ONE, PLOS Neglected Tropical Disease, LILACS, WHOLIS, ScienceDirect and Google scholar), ii) grey literature, using Google web and iii) documents in the list of references of the selected papers. Selected studies were categorized using a pre-determined data extraction form. Finally, a narrative summary of the evidence related to general characteristics of available mobile health tools and outcomes was produced.!##!Results!#!The systematic literature search identified 1289 records, 32 of which met the inclusion criteria and 4 records from the reference lists. A total of 36 studies were included coming from twenty different countries. Five mobile phone services were identified in this review: mobile applications (n = 18), short message services (n=7), camera phone (n = 6), mobile phone tracking data (n = 4), and simple mobile communication (n = 1). Mobile phones were used for surveillance, prevention, diagnosis, and communication demonstrating good performance, acceptance and usability by users, as well as feasibility of mobile phone under real life conditions and effectiveness in terms of contributing to a reduction of vectors/ disease and improving users-oriented behaviour changes. It can be concluded that there are benefits for using mobile phones in the fight against arboviral diseases as well as other epidemic diseases. Further studies particularly on acceptance, cost and effectiveness at scale are recommended.
1000 Sacherschließung
lokal Global health
lokal Randomized Controlled Trials as Topic [MeSH]
lokal Mobile phone
lokal Humans [MeSH]
lokal Zika
lokal mHealth
lokal Cell Phone/statistics
lokal Dengue
lokal Chikungunya
lokal Research Article
lokal Mobile technology
lokal Arbovirus Infections/prevention
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Q2FycmlsbG8sIE1hcmlhIEFuZ2VsaWNh|https://frl.publisso.de/adhoc/uri/S3JvZWdlciwgQXhlbA==|https://frl.publisso.de/adhoc/uri/Q2FyZGVuYXMgU2FuY2hleiwgUm9jaW8=|https://frl.publisso.de/adhoc/uri/RGlheiBNb25zYWx2ZSwgU29uaWE=|https://frl.publisso.de/adhoc/uri/UnVuZ2UtUmFuemluZ2VyLCBTaWx2aWE=
1000 Hinweis
  • DeepGreen-ID: 6f181ad5573242fa8ab98e932f11248f ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6462513.rdf
1000 Erstellt am 2023-11-15T12:56:12.888+0100
1000 Erstellt von 322
1000 beschreibt frl:6462513
1000 Zuletzt bearbeitet 2023-11-30T19:59:57.502+0100
1000 Objekt bearb. Thu Nov 30 19:59:57 CET 2023
1000 Vgl. frl:6462513
1000 Oai Id
  1. oai:frl.publisso.de:frl:6462513 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source