Digital Strategies to Improve Food Assistance in Disasters: A Scoping Review.

digital applications digital technology disasters food assistance food security

Journal

Disaster medicine and public health preparedness
ISSN: 1938-744X
Titre abrégé: Disaster Med Public Health Prep
Pays: United States
ID NLM: 101297401

Informations de publication

Date de publication:
11 10 2021
Historique:
pubmed: 12 10 2021
medline: 3 2 2023
entrez: 11 10 2021
Statut: epublish

Résumé

Modern digital strategies, including Internet of Things, machine learning, and mobile applications, have revolutionized situational awareness during disaster management. Despite their importance, no review of digital strategies to support emergency food security efforts has been conducted. This scoping review fills that gap. Keywords were defined within the concepts of food assistance, digital technology, and disasters. After the database searches, PRISMA guidelines were followed to perform a partnered, 2-round scoping literature review. The search identified 3201 articles, and 26 articles met criteria and were included in the analysis. The data types used to describe the tools were text/opinion (42.3%), qualitative (23.1%), system architecture (19.2%), quantitative and qualitative (11.5 %), and quantitative (3.8%). The tools' main functions were Resource Allocation (41.7%), Data Collection and Management (33%), Interagency Communications (15.4 %), Beneficiary Communications (11.5%), and Fundraising (7.7%). The platforms used to achieve these goals were Mobile Application (36%), Internet of Things (20%), Website (20%), and Mobile Survey (8%); 92% covered the disaster response phase. Digital tools for planning, situational awareness, client choice, and recovery are needed to support emergency food assistance, but there is a lack of these tools and research on their effectiveness across all disaster phases.

Identifiants

pubmed: 34632974
pii: S1935789321002810
doi: 10.1017/dmp.2021.281
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e40

Auteurs

Nina M Martin (NM)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Samantha M Sundermeir (SM)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Daniel J Barnett (DJ)

Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Ellen J I van Dongen (EJI)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Lori Rosman (L)

Informationist Services, Johns Hopkins University, Baltimore, MD, USA.

Andrew J Rosenblum (AJ)

Public Health Studies, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA.

Joel Gittelsohn (J)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

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Classifications MeSH