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Use of Big Data and Information and Communications Technology in Disasters: An Integrative Review.
Freeman, Jeffrey D; Blacker, Brigette; Hatt, Grace; Tan, Sophia; Ratcliff, Jeremy; Woolf, Thomas B; Tower, Craig; Barnett, Daniel J.
Afiliação
  • Freeman JD; 4Center for Humanitarian Health,Johns Hopkins Bloomberg School of Public Health,Baltimore,Maryland.
  • Blacker B; 3Masters in Public Health Program,Johns Hopkins Bloomberg School of Public Health,Baltimore,Maryland.
  • Hatt G; 3Masters in Public Health Program,Johns Hopkins Bloomberg School of Public Health,Baltimore,Maryland.
  • Tan S; 3Masters in Public Health Program,Johns Hopkins Bloomberg School of Public Health,Baltimore,Maryland.
  • Ratcliff J; 1Program in Public Health Sciences,Johns Hopkins University Krieger School of Arts and Sciences,Baltimore,Maryland.
  • Woolf TB; 2Department of Physiology,Johns Hopkins University School of Medicine,Baltimore,Maryland.
  • Tower C; 5Department of Environmental Health and Engineering,Johns Hopkins Bloomberg School of Public Health,Baltimore,Maryland.
  • Barnett DJ; 5Department of Environmental Health and Engineering,Johns Hopkins Bloomberg School of Public Health,Baltimore,Maryland.
Disaster Med Public Health Prep ; 13(2): 353-367, 2019 04.
Article em En | MEDLINE | ID: mdl-30047353
ABSTRACT
ABSTRACTNovel approaches to improving disaster response have begun to include the use of big data and information and communication technology (ICT). However, there remains a dearth of literature on the use of these technologies in disasters. We have conducted an integrative literature review on the role of ICT and big data in disasters. Included in the review were 113 studies that met our predetermined inclusion criteria. Most studies used qualitative methods (39.8%, n=45) over mixed methods (31%, n=35) or quantitative methods (29.2%, n=33). Nearly 80% (n=88) covered only the response phase of disasters and only 15% (n=17) of the studies addressed disasters in low- and middle-income countries. The 4 most frequently mentioned tools were geographic information systems, social media, patient information, and disaster modeling. We suggest testing ICT and big data tools more widely, especially outside of high-income countries, as well as in nonresponse phases of disasters (eg, disaster recovery), to increase an understanding of the utility of ICT and big data in disasters. Future studies should also include descriptions of the intended users of the tools, as well as implementation challenges, to assist other disaster response professionals in adapting or creating similar tools. (Disaster Med Public Health Preparedness. 2019;13353-367).
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Texto completo: 1 Eixos temáticos: Inovacao_tecnologica Base de dados: MEDLINE Assunto principal: Sistemas de Informação / Desastres / Sistemas de Comunicação entre Serviços de Emergência / Big Data Tipo de estudo: Prognostic_studies / Qualitative_research / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Eixos temáticos: Inovacao_tecnologica Base de dados: MEDLINE Assunto principal: Sistemas de Informação / Desastres / Sistemas de Comunicação entre Serviços de Emergência / Big Data Tipo de estudo: Prognostic_studies / Qualitative_research / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article