Use of Big Data in Disaster Recovery: An Integrative Literature Review.
Disaster Med Public Health Prep
; 17: e68, 2021 12 10.
Article
em En
| MEDLINE
| ID: mdl-34889184
ABSTRACT
OBJECTIVE:
Disasters of all varieties have been steadily increasing in frequency. Simultaneously, "big data" has seen explosive growth as a tool in business and private industries while opportunities for robust implementation in disaster management remain nascent. To more explicitly ascertain the current status of big data as applied to disaster recovery, we conducted an integrative literature review.METHODS:
Eleven databases were searched using iteratively developed keywords to target big data in a disaster recovery context. All studies were dual-screened by title and abstract followed by dual full-text review to determine if they met inclusion criteria. Articles were included if they focused on big data in a disaster recovery setting and were published in the English-language peer-reviewed literature.RESULTS:
After removing duplicates, 25,417 articles were originally identified. Following dual title/abstract review and full-text review, 18 studies were included in the final analysis. Among those, 44% were United States-based and 39% focused on hurricane recovery. Qualitative themes emerged surrounding geographic information systems (GIS), social media, and mental health.CONCLUSIONS:
Big data is an evolving tool for recovery from disasters. More research, particularly in real-time applied disaster recovery settings, is needed to further expand the knowledge base for future applications.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Planejamento em Desastres
/
Desastres
Tipo de estudo:
Prognostic_studies
/
Qualitative_research
/
Systematic_reviews
Limite:
Humans
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article