Epidemiology of Foodborne Illness

Jahan, Saulat

doi:10.5772/31038

Cited by 13 publications

(12 citation statements)

References 61 publications

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“…Foodborne disease is an important public health issue worldwide, which is among the leading causes of morbidity and mortality [1][2][3][4]. Data from the foodborne disease outbreak surveillance and reporting system showed 5021 foodborne disease outbreaks were reported between 2001 to 2010 in China [5].…”

Section: Introductionmentioning

confidence: 99%

Assessment and molecular characterization of Bacillus cereus isolated from edible fungi in China

Liu

et al. 2020

BMC Microbiol

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Background Bacillus cereus is a foodborne pathogen commonly found in nature and food and can cause food spoilage and health issues. Although the prevalence of B. cereus in foods has been reported worldwide, the extent of contamination in edible fungi, which has become increasingly popular as traditional or functional food, is largely unknown. Here we investigated the prevalence, toxin genes’ distribution, antibiotic resistance, and genetic diversity of B. cereus isolated from edible fungi in China. Results Six hundred and ninety-nine edible fungi samples were collected across China, with 198 (28.3%) samples found to be contaminated by B. cereus, with an average contamination level of 55.4 most probable number (MPN)/g. Two hundred and forty-seven B. cereus strains were isolated from the contaminated samples. Seven enterotoxin genes and one cereulide synthetase gene were detected. The detection frequencies of all enterotoxin genes were ≥ 80%, whereas the positive rate of the cesB gene in B. cereus was 3%. Most isolates were resistant to penicillins, β-lactam/β-lactamase inhibitor combinations, cephems, and ansamycins, but were susceptible to penems, aminoglycosides, macrolides, ketolide, glycopeptides, quinolones, phenylpropanol, tetracyclines, lincosamides, streptogramins, and nitrofurans. Meanwhile, 99.6% of all isolates displayed multiple antimicrobial resistance to three or more classes of antimicrobials. Using genetic diversity analysis, all isolates were defined in 171 sequence types (STs), of which 83 isolates were assigned to 78 new STs. Conclusions This study provides large-scale insight into the prevalence and potential risk of B. cereus in edible fungi in China. Approximately one-third of the samples were contaminated with B. cereus, and almost all isolates showed multiple antimicrobial resistance. Detection frequencies of all seven enterotoxin genes were equal to or more than 80%. These new findings may indicate a need for proper pre-/post-processing of edible fungi to eliminate B. cereus, thereby preventing the potential risk to public health.

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Section: Introductionmentioning

confidence: 99%

Assessment and molecular characterization of Bacillus cereus isolated from edible fungi in China

Liu

et al. 2020

BMC Microbiol

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“…Importantly, food handlers have been identified as a major source of transfer of pathogens and bacteria, which could effectively result in food contamination (Al‐Kandari et al, ; Jahan, ). Al Suwaidi, Hussein, Al Faisal, Sawaf, and Wasfy () defined food handlers as “employees who are employed directly in the production and preparation of foodstuffs.…”

Section: Introductionmentioning

confidence: 99%

Food safety knowledge and hygienic‐sanitary control: A needed company for public well‐being

Kwol

Avcı

Eluwole

et al. 2019

Journal of Public Affairs

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Food handlers are essential in the fight for the prevention of foodborne disease outbreaks as they are critical in ensuring the delivery of safe and healthy food to the consumers. The current study build on knowledge, attitude, and practice model (KAP) to investigate the impact of food handlers' knowledge and attitude on the hygienic‐sanitary conditions of food delivered to the consumers in Nigerian hospitality sector. Using data collected from food handlers in restaurants, hotels and hospitals in Jos metropolis of Nigeria, the study revealed that handlers applied food safety measures to the level of their knowledge. Further investigation revealed that KAP model works effectively in the case of food handlers in Jos. We conclude with recommendations for the industry and education institutes where handlers are trained.

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“…The search criteria for the predictors included an established direct and/or indirect association with FBD mortality and the predictor's potential to be a modifiable risk factor, i.e. whether it can be changed through intervention [2, 12, 15].…”

Section: Methodsmentioning

confidence: 99%

“…On the other hand, the uncertainty of predictions was very small for countries within clusters 1 and 4. The overall median (95% CI) of the predicted log-total mortality rate ranged from challenge for the estimation of global burden of FBDs [15].…”

Section: Sensitivity Analysis and Prediction Of Mortality Ratesmentioning

confidence: 99%

Variable selection and regression analysis for the prediction of mortality rates associated with foodborne diseases

et al. 2016

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The purpose of this study was to apply a novel statistical method for variable selection and a model-based approach for filling data gaps in mortality rates associated with foodborne diseases using the WHO Vital Registration mortality dataset. Correlation analysis and elastic net regularization methods were applied to drop redundant variables and to select the most meaningful subset of predictors. Whenever predictor data were missing, multiple imputation was used to fill in plausible values. Cluster analysis was applied to identify similar groups of countries based on the values of the predictors. Finally, a Bayesian hierarchical regression model was fit to the final dataset for predicting mortality rates. From 113 potential predictors, 32 were retained after correlation analysis. Out of these 32 predictors, eight with non-zero coefficients were selected using the elastic net regularization method. Based on the values of these variables, four clusters of countries were identified. The uncertainty of predictions was large for countries within clusters lacking mortality rates, and it was low for a cluster that had mortality rate information. Our results demonstrated that, using Bayesian hierarchical regression models, a data-driven clustering of countries and a meaningful subset of predictors can be used to fill data gaps in foodborne disease mortality.

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Epidemiology of Foodborne Illness

Cited by 13 publications

References 61 publications

Assessment and molecular characterization of Bacillus cereus isolated from edible fungi in China

Assessment and molecular characterization of Bacillus cereus isolated from edible fungi in China

Food safety knowledge and hygienic‐sanitary control: A needed company for public well‐being

Variable selection and regression analysis for the prediction of mortality rates associated with foodborne diseases

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