Protection Motivation Theory and consumers' food safety behaviour in response to COVID-19

Comparative analyses of bacterial contamination and microbiome of broiler carcasses in wet market and industrial processing environments

The slaughtering environment is crucial for the food hygiene and safety of poultry products. Despite the global dominance of industrial processing, live bird slaughtering in wet markets persists due to cultural, religious, and economic reasons. This study aims to reveal the correlation between hygiene scales in wet markets and bacterial contamination levels on broiler carcasses, with a particular focus on pathobiont transmission risks and microbiome characteristics. Wet markets were categorized based on home-made ratings and the Hygiene and Biosecurity Assessment Tool (HABT). The study assessed total aerobic bacterial (TAB) levels, food spoilage and hygiene indicators (Pseudomonas and E. coli), foodborne pathogen Salmonella, and the microbiome of broiler carcasses, intestinal contents, and slaughtering facilities. Comparative analyses were conducted between market and industrial processing environments. TAB levels on broiler carcasses showed a significant negative correlation with hygiene scores, indicating that both HABT and home-made rating tools effectively assess and improve processing hygiene. Industrial processing consistently reduced bacterial contamination compared to wet markets. Although Salmonella spp. prevalence was lower in market-processed carcasses, the study identified significant cross-transmission of pathobionts and variations in bacterial composition with hygiene improvements. Notably, the microbiome analysis revealed overlaps in amplicon sequence variants (ASVs) between carcasses and contamination vectors, highlighting pathobiont transmission risks. The present study confirmed the scales of hygiene standards among wet markets reflect bacterial contamination on broiler carcasses. Enhancing slaughter practices to meet industrial hygiene standards is essential for reducing the transmission of foodborne pathogens and pathobionts, and improving food safety.

A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines

The emergence of e-commerce platforms, especially online grocery shopping, is heightened by the COVID-19 pandemic. Filipino consumers started to adapt online due to the strict quarantine implementations in the country. This study intended to predict and evaluate factors influencing the intention and usage behavior towards online groceries incorporating the integrated Protection Motivation Theory and an extended Unified Theory of Acceptance and Use of Technology applying machine learning ensemble. A total of 373 Filipino consumers of online groceries responded to the survey and evaluated factors under the integrated framework. Artificial Neural Network that is 96.63 % accurate with aligned with the result of the Random Forest Classifier (96 % accuracy with 0.00 standard deviation) having Perceived Benefits as the most significant factor followed by Perceived Vulnerability, Behavioral Intention, Performance Expectancy, and Perceived. These factors will lead to very high usage of online grocery applications. It was established that machine learning algorithms can be used in predicting consumer behavior. These findings may be applied and extended to serve as a framework for government agencies and grocers to market convenient and safe grocery shopping globally.

Theoretical and practical aspects of risk communication in food safety: A review study

Currently, food safety hazards have introduced as one of the most important threats to public health worldwide. Considering numerous crises in the field of food safety at global, regional, and national levels, and their impact on the physical and mental health of consumers, it is very vital to evaluate risk communication strategies in each country. Food safety risk communication (FSRC) aims to provide the means for individuals to protect their health from food safety risks and make informed decisions about food risks. The purpose of this study is to present FSRC as one of the key parts of risk analysis, its importance considering the prevalence of food contamination and recent crises related to food. Additionally, the stages of implementation of FSRC are mentioned. In FSRC, it is essential to comply with the principles and prerequisites. There are various strategies for FSRC nowadays. Different platforms for FSRC are rapidly evolving. Choosing and evaluating the appropriate strategy according to the target group, consensus of stakeholders, cooperation and coordination of risk assessors and risk managers have a significant impact in order to improve and implement FSRC.

Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19

The present study aims to conduct a systematic review and meta-analysis on quantitative conclusion and appraisal of findings from Protection Motivation Theory to predict protective behaviors against COVID-19. This meta-analysis covered the period between 2019 and 2022. Web of Science, Science Direct, Scopus, Emerald, PubMed, Springer, Sage, Online Wiley Library, Taylor & Francis and ProQuest were searched to find related articles to the study topic. Using Effect Size of Random model, the quality of each study, homogeneous of studies and Publication bias of data were analyzed and assessed by CMA2 software. The results indicate that perceived severity (β=0.197), perceived vulnerability (β=0.160), response efficacy (β=0.251) and self-efficacy (β=0.270) are positively associated with COVID-19 disease. In addition, the results show that Response cost (β=-0.074) is a negative and weak predictor of motivation to protect against COVID-19. The results of this study regarding Protection Motivation Theory (PMT)- as a very strong and flexible theory during outbreak of COVID-19- may suggest that despite positive protection, the mean of Effect Size of total PMT elements is less than average size. Meta-analysis of studies shows that coping appraisal variables provide the strongest predictors of behavior and intention. Furthermore, self-efficacy was identified as the most important determinant in protective behaviors against COVID-19.

Challenges to Online Pharmacy Classes during COVID 19 Pandemic: cross sectional study in Jordan

Background: Covid 19 pandemic has had a strong influence on all aspects of life . One of these influence is education. The academic authorities in Jordan as in elsewhere across the world have shifted their method of teaching to online class. After four semester of online teaching it’s important for both teaching staff and students of pharmacy faculties to assess the trends and the preference of students to different methods of online teaching. The purpose of this study was to assess the influence of the COVID19 pandemic on online education for pharmacy students in Jordan’s faculties of pharmacy.

Methods: We emailed a survey to the majority of students in Jordan’s pharmacy faculties during january and february 2022.

Results: We received 230 responses, with 87.2 percent of respondents being female and the majority of the students being pharmacy students. Among the 230 respondents, 75% said they liked combining online and face-to-face training, while 13% said they preferred face-to-face instruction and only 12% said they favored online learning. The major challenges in online teaching during the pandemic are issues with in-person communication (87 percent), student assessment (65 percent) and use of technology tools (35 percent).

Conclusion: Due to the fact that the survey was conducted during the fourth semester with the COVID 19 pandemic, and most students have gained confidence in using online technology and the university IT support, one can conclude that pharmacy students have a high level of confidence in the effectiveness of online pharmacy education.