scholarly journals “Sometimes You Get Good Ones, and Sometimes You Get Not-so-Good Ones”: Vendors’ and Consumers’ Strategies to Identify and Mitigate Food Safety Risks in Urban Nigeria

Foods ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 201
Author(s):  
Stella Nordhagen ◽  
James Lee ◽  
Nwando Onuigbo-Chatta ◽  
Augustine Okoruwa ◽  
Eva Monterrosa ◽  
...  
Keyword(s):  
Food Safety ◽  
Behavior Change ◽  
Visual Cues ◽  
Research Question ◽  
Visual Assessment ◽  
Detailed Data ◽  
Traditional Markets ◽  
Behavior Change Interventions ◽  
Safety Risks ◽  
Depth Interviews

This paper uses detailed data from in-depth interviews with consumers (n = 47) and vendors (n = 37) in three traditional markets in Birnin Kebbi, Nigeria. We used observations from those markets to examine how consumers and vendors identify and avoid or manage food safety risks and whom they hold responsible and trust when it comes to ensuring food safety. At the level of the vendor, consumers mentioned seeking “clean” or “neat” vendors or stalls. Cleanliness was primarily related to the appearance of the vendor, stall, and surroundings; reliance on trusted, known vendors was also noted. Food products themselves were largely evaluated based on visual cues: insects, holes, and colors—with some reliance on smell, also. Similarly, vendors assessed safety of food from suppliers based on a visual assessment or reliance on trusted relationships. On the second research question, both consumers and vendors largely placed responsibility for ensuring food safety on government; when asked specifically, consumers also named specific steps that vendors could take to ensure food safety. Consumers and vendors also generally felt that they could limit many food safety risks through identifying the “good” products in the market or from suppliers. The paper discusses the implications of these results for behavior change interventions.

Supporting the Use of Rudimentary Vocalizations

2014 ◽  
Vol 23 (3) ◽  
pp. 132-139 ◽  
Author(s):  
Lauren Zubow ◽  
Richard Hurtig
Keyword(s):  
Rett Syndrome ◽  
Visual Cues ◽  
Acoustic Analysis ◽  
Eye Gaze ◽  
Research Question ◽  
Primary Research ◽  
Multiple Modalities ◽  
Face To Face ◽  
Perceptual Judgments ◽  
The Face

Children with Rett Syndrome (RS) are reported to use multiple modalities to communicate although their intentionality is often questioned (Bartolotta, Zipp, Simpkins, & Glazewski, 2011; Hetzroni & Rubin, 2006; Sigafoos et al., 2000; Sigafoos, Woodyatt, Tuckeer, Roberts-Pennell, & Pittendreigh, 2000). This paper will present results of a study analyzing the unconventional vocalizations of a child with RS. The primary research question addresses the ability of familiar and unfamiliar listeners to interpret unconventional vocalizations as “yes” or “no” responses. This paper will also address the acoustic analysis and perceptual judgments of these vocalizations. Pre-recorded isolated vocalizations of “yes” and “no” were presented to 5 listeners (mother, father, 1 unfamiliar, and 2 familiar clinicians) and the listeners were asked to rate the vocalizations as either “yes” or “no.” The ratings were compared to the original identification made by the child's mother during the face-to-face interaction from which the samples were drawn. Findings of this study suggest, in this case, the child's vocalizations were intentional and could be interpreted by familiar and unfamiliar listeners as either “yes” or “no” without contextual or visual cues. The results suggest that communication partners should be trained to attend to eye-gaze and vocalizations to ensure the child's intended choice is accurately understood.

The Science and Art of Interviewing

2020 ◽  
Author(s):  
Kathleen Gerson ◽  
Sarah Damaske
Keyword(s):  
Social Research ◽  
Research Question ◽  
Research Process ◽  
Social Contexts ◽  
Science And Art ◽  
The Social ◽  
Interview Guide ◽  
Hidden Patterns ◽  
User Friendly ◽  
Depth Interviews

Qualitative interviewing is one of the most widely used methods in social research, but it is arguably the least well understood. To address that gap, this book offers a theoretically rigorous, empirically rich, and user-friendly set of strategies for conceiving and conducting interview-based research. Much more than a how-to manual, the book shows why depth interviewing is an indispensable method for discovering and explaining the social world—shedding light on the hidden patterns and dynamics that take place within institutions, social contexts, relationships, and individual experiences. It offers a step-by-step guide through every stage in the research process, from initially formulating a question to developing arguments and presenting the results. To do this, the book shows how to develop a research question, decide on and find an appropriate sample, construct an interview guide, conduct probing and theoretically focused interviews, and systematically analyze the complex material that depth interviews provide—all in the service of finding and presenting important new empirical discoveries and theoretical insights. The book also lays out the ever-present but rarely discussed challenges that interviewers routinely encounter and then presents grounded, thoughtful ways to respond to them. By addressing the most heated debates about the scientific status of qualitative methods, the book demonstrates how depth interviewing makes unique and essential contributions to the research enterprise. With an emphasis on the integral relationship between carefully crafted research and theory building, the book offers a compelling vision for what the “interviewing imagination” can and should be.

scholarly journals Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

scholarly journals Comparison of whole genome sequences of three Bacillus cereus strains reveals the food safety risks of Apostichopus japonicus in China

2021 ◽  
Vol 20 ◽  
pp. 100649
Author(s):  
Xiaoran Zhao ◽  
Ruijun Li ◽  
Huifeng Dang ◽  
Luo Wang ◽  
Songzhe Fu ◽  
...  
Keyword(s):  
Food Safety ◽  
Bacillus Cereus ◽  
Apostichopus Japonicus ◽  
Whole Genome ◽  
Genome Sequences ◽  
Safety Risks

Behavior change interventions in patients with type 2 diabetes: a systematic review of the effects on self-management and A1c

2021 ◽  
Author(s):  
Ana Paula Delgado Bomtempo Batalha ◽  
Isabela Coelho Ponciano ◽  
Gabriela Chaves ◽  
Diogo Carvalho Felício ◽  
Raquel Rodrigues Britto ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Behavior Change ◽  
Self Management ◽  
Behavior Change Interventions

A Scoping Review of Behavior Change Interventions to Decrease Health Care Disparities for Patients With Disabilities in a Primary Care Setting: Can Social Marketing Play a Role?

2021 ◽  
Vol 27 (1) ◽  
pp. 48-63
Author(s):  
Angela Makris ◽  
Mahmooda Khaliq ◽  
Elizabeth Perkins
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Behavior Change ◽  
Social Marketing ◽  
Health Care Disparities ◽  
Social Model ◽  
Care Providers ◽  
Social Model Of Disability ◽  
Behavior Change Interventions ◽  
The Social

Background: One in four Americans have a disability but remain an overlooked minority population at risk for health care disparities. Adults with disabilities can be high users of primary care but often face unmet needs and poor-quality care. Providers lack training, knowledge and have biased practices and behaviors toward people with disabilities (PWD); which ultimately undermines their quality of care. Focus of the Article: The aim is to identify behavior change interventions for decreasing health care disparities for people with disabilities in a healthcare setting, determine whether those interventions used key features of social marketing and identify gaps in research and practice. Research Question: To what extent has the social marketing framework been used to improve health care for PWD by influencing the behavior of health care providers in a primary health care setting? Program Design/Approach: Scoping Review. Importance to the Social Marketing Field: Social marketing has a long and robust history in health education and public health promotion, yet limited work has been done in the disabilities sector. The social marketing framework encompasses the appropriate features to aligned with the core principles of the social model of disability, which espouses that the barriers for PWD lie within society and not within the individual. Incorporating elements of the social model of disability into the social marketing framework could foster a better understanding of the separation of impairment and disability in the healthcare sector and open a new area of research for the field. Results: Four articles were found that target primary care providers. Overall, the studies aimed to increase knowledge, mostly for clinically practices and processes, not clinical behavior change. None were designed to capture if initial knowledge gains led to changes in behavior toward PWD. Recommendations: The lack of published research provides an opportunity to investigate both the applicability and efficacy of social marketing in reducing health care disparities for PWD in a primary care setting. Integrating the social model of disability into the social marketing framework may be an avenue to inform future interventions aimed to increase health equity and inclusiveness through behavior change interventions at a systems level.

scholarly journals Catalyzing sustainable fisheries management through behavior change interventions

2020 ◽  
Vol 34 (5) ◽  
pp. 1176-1189 ◽  
Author(s):  
Gavin McDonald ◽  
Molly Wilson ◽  
Diogo Veríssimo ◽  
Rebecca Twohey ◽  
Michaela Clemence ◽  
...  
Keyword(s):  
Behavior Change ◽  
Fisheries Management ◽  
Sustainable Fisheries ◽  
Behavior Change Interventions

Infant Feeding and Infectious Disease

PEDIATRICS ◽  
1990 ◽  
Vol 86 (5) ◽  
pp. 806-807
Author(s):  
CHRIS MULFORD
Keyword(s):  
Infant Feeding ◽  
Research Question ◽  
First Year ◽  
Detailed Data ◽  
Close Attention ◽  
Substantial Investment ◽  
Infectious Illness ◽  
Definition Of ◽  
A Prospective Study ◽  
First Year Of Life

To the Editor.— I read with interest the article "Relationship Between Infant Feeding and Infectious Illness: A Prospective Study of Infants During the First Year of Life" by Rubin et al in the April issue.1 Two things puzzle me. The first is that, despite the authors' stated goal of paying close attention to methodology, their definition of breast-feeding fails to meet the standards set forth by most experts on lactation. The second is that, given their substantial investment of time and money in obtaining detailed data on 500 babies for a full year, the authors chose to ask their particular research question.

Improving the quality and safety of dairy products by implementing a management system

2021 ◽  
pp. 28-31
Author(s):  
Natalia A. Jurk ◽  
Keyword(s):  
Food Safety ◽  
Management System ◽  
Safety Management ◽  
Quality Management System ◽  
Raw Materials ◽  
Developed Countries ◽  
Control Points ◽  
Quality And Safety ◽  
Critical Control Points ◽  
Safety Risks

In order to achieve a certain level of food production, it is necessary to manage its quality and safety. Currently, the quality management system based on the principles of HACCP is widely recognized and is the only method for ensuring food security in all developed countries. The ultimate goal of this system is to eliminate or reduce any food safety risks by preventing them. During the research, the main, auxiliary raw materials and the finished product were identified; flowcharts for the production of an enriched whey drink were developed. On the basis of the developed block diagrams, an analysis of microbiological, chemical, physical and qualitative hazards was carried out, it was determined which of the hazardous factors are the most critical, can harm health and must be eliminated or reduced to acceptable levels. Based on the analysis of significant hazards using the Decision Tree algorithm, two critical control points (pasteurization and cooling) were established. Measures for the management of critical control points are established in the HACCP plan, which reflects all CCPs of the production process of the research object and actions for monitoring and managing them. The introduction of elements of a food safety management system into practice contributes to the production of safe products of appropriate quality in compliance with applicable requirements and standards.

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