RESUMEN
Machine learning approaches are increasingly being adopted as data analysis tools in scientific behavioral predictions. This paper utilizes a machine learning approach, Random Forest Model, to determine the top prediction variables of food safety behavioral changes during the pandemic. Data was collected among U.S. consumers on risk perception of COVID-19 and foodborne illness (FBI), food safety practice behaviors and demographics through online surveys at ten different time points from April 2020 through to May 2021; and post pandemic in May 2022. Random forest model was used to predict 14 food safety-related behaviors. The models for predicting Handwashing before cooking and Handwashing after eating had a good performance, with F-1 score of 0.93 and 0.88, respectively. Attitudes- related variables were determined to be important in predicting food safety behaviors. The importance ranking of the predicting variables were found to be changing over time.
RESUMEN
Online food-safety educational programs are increasingly important to educate different populations as technology and culture shift to using more technology. However, the broad effectiveness of these programs has yet to be examined. A systematic review, random-effects meta-analysis, and thematic synthesis are conducted to identify the effect size of online food-safety educational programs on knowledge, attitudes, and practices of consumers, food workers, and students and their respective barriers and recommendations. Online food-safety education was found to be of moderate and low effectiveness, with attitudes being the lowest in all populations. Consumers struggled with staying focused, and it was found that messaging should focus on risk communication. Students struggled with social isolation and a lack of time, and it was recommended that videos be used. Food workers struggled with a lack of time for training and difficulty understanding the material, and future programs are recommended to implement shorter but more frequent trainings with simple language. Future online food-safety educational programs should focus on incorporating social elements, as they can remain a huge barrier to learning. They should also focus on changing the participant's attitude to risk perception and beliefs in the importance of food safety.
RESUMEN
Wheat flour and baking mix have been associated with foodborne outbreaks and recalls, yet many consumers are unaware of the repercussions of consuming raw flour products. The objective of this study was to evaluate the accessibility of flour safety messages on commercially available packages and to identify consumer barriers to processing these messages. Eye-tracking technology was used to track the eye movements of 47 participants to assess their time to fixation (TTF) on the flour safety messages on 10 commercial packages. Notifications that were longer than one sentence were considered "long" messages, while notifications that consisted of only one sentence were considered short (S1-S5 and L1-L5). Only two participants (4.3%) found messages on all 10 packages. Highly accessible messages did not result in a high preference of presentation among participants. Most of the participants (98%) found the message on the S4 package, which correlated with the lowest TTF of 7.08 s. However, only 15% of those who found the S4 message chose it as their preferred message. Many participants who were interviewed said that they preferred messages that identified the reasoning for the warnings. They also preferred the messages that were well separated from other content on the package. Flour safety messages on the current packages are not effective to convey information and change consumer behavior. More science-based messaging strategies need to be developed to provide guidance for flour safety communication.
