COVID-19 knowledge, attitude, practices, and associated factors among Bangladeshi food handlers from various food industries

Background and objectives

It is believed that preventive safety measures are the most effective way to avoid the COVID-19. The adherence of workers to these measures is largely determined by their knowledge, attitude, and practices (KAP). Because they are in close proximity to consumable items, workers in the food industry must be especially vigilant during this period. The purpose of this present study was to evaluate the COVID-19 knowledge, attitudes, and practices of food handlers in different food industries of Bangladesh.

Study design

This was a cross-sectional study.

Methods

This included the participation of 400 food handlers from 15 food industries. The information was collected from the participants through a questionnaire prepared in Google form. Different nonparametric tests and a linear regression model were performed for statistical analysis.

Results

With a correct response rate of about 90% on average (knowledge 89.7%, attitude 93%, practices 88.2%), the participants showed an acceptable KAP (>80% correct response) regarding COVID-19. Education (p = 0.00) and working experiences (p = 0.01) had a significant association with the total KAP scores.

Conclusion

Food handlers in the food industries of Bangladesh have adequate knowledge, a positive attitude, and the desired practices regarding the COVID-19 issue.

Tea leaf disease detection and identification based on YOLOv7 (YOLO-T)

A reliable and accurate diagnosis and identification system is required to prevent and manage tea leaf diseases. Tea leaf diseases are detected manually, increasing time and affecting yield quality and productivity. This study aims to present an artificial intelligence-based solution to the problem of tea leaf disease detection by training the fastest single-stage object detection model, YOLOv7, on the diseased tea leaf dataset collected from four prominent tea gardens in Bangladesh. 4000 digital images of five types of leaf diseases are collected from these tea gardens, generating a manually annotated, data-augmented leaf disease image dataset. This study incorporates data augmentation approaches to solve the issue of insufficient sample sizes. The detection and identification results for the YOLOv7 approach are validated by prominent statistical metrics like detection accuracy, precision, recall, mAP value, and F1-score, which resulted in 97.3%, 96.7%, 96.4%, 98.2%, and 0.965, respectively. Experimental results demonstrate that YOLOv7 for tea leaf diseases in natural scene images is superior to existing target detection and identification networks, including CNN, Deep CNN, DNN, AX-Retina Net, improved DCNN, YOLOv5, and Multi-objective image segmentation. Hence, this study is expected to minimize the workload of entomologists and aid in the rapid identification and detection of tea leaf diseases, thus minimizing economic losses.

Heavy Metals in Widely Consumed Vegetables Grown in Industrial Areas of Bangladesh: a Potential Human Health Hazard

The prevalence of heavy metals in frequently consumed vegetables constitutes a considerable public health hazard. This study aims to determine the quantity of heavy metals in widely consumed watercress (WC), alligator weed (AW), red amaranth (RA), spinach (SP), cauliflower (CF), and eggplant (EP) cultivated in industrial areas (e.g., Narsingdi district) of Bangladesh to assess the potential health hazards. Atomic absorption spectroscopy (AAS) served to determine the concentrations of lead (Pb), cadmium (Cd), chromium (Cr), and nickel (Ni) in vegetable samples (n = 72). The contents of Pb, Cd, Cr, and Ni were found in most of the analyzed vegetables, whereas 79.17%, 44.44%, and 1.39% samples exceeded the FAO/WHO maximum allowable concentration (MAC) for Pb, Cd, and Ni, respectively. The estimated daily intake (EDI) of single heavy metal was below the corresponding maximum tolerable daily intake (MTDI). The incremental lifetime cancer risk (ILCR) values of Cd in all samples exceeded the threshold limit (ILCR > 10^-4) for both adults and children, indicating lifetime cancer risk due to the consumption of contaminated vegetables. The target hazard quotient (THQ) of each heavy metal was THQ < 1.0 (except Ni in few samples), indicating that consumers have no non-cancer risk when exposed to a single heavy metal. However, hazard index (HI) values of heavy metals were greater than unity in contaminated WC and AW for adults and children. Meanwhile, WC, AW, and SP samples for children emerged as potential health risks of inhabitants in the studied areas. The outcomes of the present investigation might assist the regulatory bodies concerned in setting new strategies through monitoring the quality of marketed vegetables to minimize the risks to humans.

How COVID-19 pandemic is affecting achieved food security in Bangladesh: A perspective with required policy interventions

The COVID-19, also known as a coronavirus, is currently wreaking havoc on livelihood, food security, and nutrition security around the world. In developing countries like Bangladesh the situation is far worse. The purpose of this perspective is to highlight the current state and changes of food security in Bangladesh in the context of COVID-19. During the COVID-19 period, the income of a certain set of people fell, which may have contributed to the growth in the poverty rate. It also had an impact on the agro-food systems, supply-value chain, and market levels as a result of the lockdown, movement and social gathering restrictions. The COVID-19 pandemic has an impact on the total food consumption status of the entire country, affecting all segments of the population. To obtain a greater understanding, our analysis identifies current gaps and the pandemic's potential impact from previously published works and reports.

Response to coronavirus disease 2019: Case study of one baking industry in Dhaka, Bangladesh

The coronavirus disease 2019 (COVID-19) poses significant risks to health in the workplace for employees in the manufacturing sector of Bangladesh. A variety of preventive steps are being taken by many food industries to sustain their production during this period by ensuring food safety. In response to the current outbreak, early identification, preparedness for the growing threat, and employee well-being are of utmost importance. Food health is also a concern in this regard, as workers in the food industry remain close to food and packages. The risk of spreading the virus within the industry can be held to a minimum with timely action and concerted efforts. A study was carried out in one baking industry of Bangladesh to investigate their regular activities during the pandemic period. Until the writing of this report, there were no cases of COVID-19 among employees. Thus this case study shows how one baking industry in Bangladesh prepares and responds to the COVID 19 outbreak.

Evaluation of food safety knowledge, attitude, and self-reported practices of trained and newly recruited untrained workers of two baking industries in Dhaka, Bangladesh

In Bangladesh, with the mounting esteem of bakery products, food safety issues in bakery industries are a paramount concern nowadays. In this regard, this current study was performed to evaluate food safety knowledge, attitude, and self-reported practices of two groups (160 trained and 55 new untrained) of workers from two popular baking industries in Dhaka, Bangladesh. A self-administrated questionnaire was used to acquire the data during the study. On food safety knowledge, attitude, and self-reported practices, trained workers' scores (33.01 ± 0.09, 14.86 ± 0.03, 10.66 ± 0.25, respectively) were significantly higher than the scores (9.82 ± 0.23, 10.44 ± 0.26, 5.91 ± 0.33, respectively) of newly appointed untrained workers. The quality assurance department displayed better knowledge, attitude, and self-reported practices scores than the rest of the departments of the industries. However, compared to knowledge and attitude, the self-reported practice was not up to a satisfactory level. According to the study, training can be proved effective for improving knowledge and attitude but does not always translate those into self-reported practice and behaviors. The results also reinforce the importance of conducting training for untrained workers and suggest further behavior-based food safety training for all employees.