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

2021 ◽  
pp. 1-10
Author(s):  
Nina M. Martin ◽  
Samantha M. Sundermeir ◽  
Daniel J. Barnett ◽  
Ellen J. I. van Dongen ◽  
Lori Rosman ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Scoping Review ◽  
Disaster Response ◽  
Situational Awareness ◽  
Food Assistance ◽  
Data Types ◽  
Client Choice ◽  
Scoping Literature Review ◽  
Emergency Food Assistance ◽  
Collection And Management

Abstract Objective: 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. Methods: 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. Results: 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. Conclusions: 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.

Evidence on Food Control System in Charitable Food Assistance System: A Systematic Scoping Review

2018 ◽  
Author(s):  
Sizwe Makhunga ◽  
Tivani P. Mashamba-Thompson ◽  
Mbuzeleni Hlongwa ◽  
Khumbulani W. Hlongwana
Keyword(s):  
Control System ◽  
Scoping Review ◽  
Food Assistance ◽  
Assistance System ◽  
Food Control ◽  
System A

scholarly journals The History of Adversity and Collective Strength of Individuals of Mexican Ancestry in the United States: A Scoping Literature Review and Emerging Conceptual Framework

Genealogy ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 32
Author(s):  
Araceli Orozco-Figueroa
Keyword(s):  
United States ◽  
Scoping Review ◽  
Historical Trauma ◽  
The United States ◽  
People Of Color ◽  
Trauma Narratives ◽  
Treatment And Prevention ◽  
Scoping Literature Review ◽  
History Of ◽  
Baseline Knowledge

Recently, Black, Indigenous, and other People of Color (BIPOC) have encountered an escalation in adverse social conditions and trauma events in the United States. For individuals of Mexican ancestry in the United States (IMA-US), these recent events represent the latest chapter in their history of adversity: a history that can help us understand their social and health disparities. This paper utilized a scoping review to provide a historical and interdisciplinary perspective on discussions of mental health and substance use disorders relevant to IMA-US. The scoping review process yielded 16 peer reviewed sources from various disciplines, published from 1998 through 2018. Major themes included historically traumatic events, inter-generational responses to historical trauma, and vehicles of transmission of trauma narratives. Recommendations for healing from historical and contemporary oppression are discussed. This review expands the clinical baseline knowledge relevant to the diagnosis, treatment, and prevention of contemporary traumatic exposures for IMA-US.

A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura

2021 ◽  
pp. 016555152110077
Author(s):  
Sulong Zhou ◽  
Pengyu Kan ◽  
Qunying Huang ◽  
Janet Silbernagel
Keyword(s):  
Social Media ◽  
Real Time ◽  
Language Processing ◽  
Disaster Response ◽  
Domain Knowledge ◽  
Latent Dirichlet Allocation ◽  
Situational Awareness ◽  
High Performing ◽  
Latent Topics ◽  
Dirichlet Allocation

Natural disasters cause significant damage, casualties and economical losses. Twitter has been used to support prompt disaster response and management because people tend to communicate and spread information on public social media platforms during disaster events. To retrieve real-time situational awareness (SA) information from tweets, the most effective way to mine text is using natural language processing (NLP). Among the advanced NLP models, the supervised approach can classify tweets into different categories to gain insight and leverage useful SA information from social media data. However, high-performing supervised models require domain knowledge to specify categories and involve costly labelling tasks. This research proposes a guided latent Dirichlet allocation (LDA) workflow to investigate temporal latent topics from tweets during a recent disaster event, the 2020 Hurricane Laura. With integration of prior knowledge, a coherence model, LDA topics visualisation and validation from official reports, our guided approach reveals that most tweets contain several latent topics during the 10-day period of Hurricane Laura. This result indicates that state-of-the-art supervised models have not fully utilised tweet information because they only assign each tweet a single label. In contrast, our model can not only identify emerging topics during different disaster events but also provides multilabel references to the classification schema. In addition, our results can help to quickly identify and extract SA information to responders, stakeholders and the general public so that they can adopt timely responsive strategies and wisely allocate resource during Hurricane events.

scholarly journals Learning to Trust the Crowd: Validating ‘Crowd’ Sources for Improved Situational Awareness in Disaster Response

2016 ◽  
Vol 159 ◽  
pp. 141-147 ◽  
Author(s):  
Colby Howard ◽  
David Jones ◽  
Steven Reece ◽  
Antony Waldock
Keyword(s):  
Disaster Response ◽  
Situational Awareness

Are paramedic graduates effectively prepared for death? A scoping review

2021 ◽  
Vol 13 (10) ◽  
pp. 408-413
Author(s):  
Anna Somers
Keyword(s):  
Mental Health ◽  
Literature Review ◽  
Scoping Review ◽  
Prehospital Setting ◽  
Death Education ◽  
Preparation Methods ◽  
Scoping Literature Review ◽  
Potential Impact ◽  
New Research

Paramedics often come across death because of the nature of their work. Attending an incident involving the death of a patient could affect a paramedic's mental health. A scoping literature review surrounding the readiness and education regarding death in the prehospital setting for paramedic students was carried out. Given the potential impact upon practitioner mental health, the review aimed to determine the quality and extent of new research regarding education in death for paramedics. Four themes arose from the review: inadequate preparation; methods of death education; improved confidence; and implications for more research.

Standards for the Internet of Things: A Case Study in Disaster Response

Computer ◽  
2016 ◽  
Vol 49 (5) ◽  
pp. 87-90 ◽  
Author(s):  
Phillip A. Laplante ◽  
Jeffrey Voas ◽  
Nancy Laplante
Keyword(s):  
Internet Of Things ◽  
Disaster Response ◽  
The Internet ◽  
The Internet Of Things

Linking SNAP to Food Security: Exploring Reinstating a Purchase Requirement and Tying Benefits to the Low-Cost Food Plan

2017 ◽  
Vol 14 (1) ◽  
Author(s):  
Beth Osborne Daponte
Keyword(s):  
Food Security ◽  
Low Cost ◽  
The United States ◽  
Food Assistance ◽  
Food Banks ◽  
Assistance Program ◽  
Food Pantries ◽  
Structural Risk ◽  
Emergency Food Assistance ◽  
Nutrition Assistance

AbstractThe United States has a food assistance structure that, by design, does not assure that households receiving food assistance will be food secure, is deeply inefficient, and is at financial and structural risk. The two most common forms of food assistance used today are Supplemental Nutrition Assistance Program (SNAP, formerly the Food Stamp Program) and charitable food assistance in the form of groceries (provided through a network of food banks, food pantries, and other related programs). Approximately 43 million persons participate in SNAP and nearly one-third of them also rely on a food pantry for groceries. The use of charitable food assistance by persons relying on SNAP demonstrates that SNAP’s benefit level and structure does not sufficiently result in food security. The article argues that reinstating a purchase requirement for SNAP and increasing the level of benefits provided to SNAP participants would increase the food security of participants, alleviate the chronic demand for food from food banks and food pantries, and ultimately allow the charitable food assistance network to better accomplish its goal of providing emergency food assistance to the needy.

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