Results 91 to 100 of about 8,984,880 (347)
BACKGROUND Foodborne disease data collected during outbreak investigations are used to estimate the percentage of foodborne illnesses attributable to specific food categories.
L. Richardson+9 more
semanticscholar +1 more source
Escherichia coli pathotype virulotyping to assess if combined top soil improver and water inputs would potentially lead to hybrid strains with shuffled virulence features in ready‐to‐eat vegetables. This is to support the transition toward safe and sustainable food production systems.
Giorgia Barbieri+9 more
wiley +1 more source
Detecting and monitoring foodborne illness outbreaks: Twitter communications and the 2015 U.S. Salmonella outbreak linked to imported cucumbers [PDF]
This research uses Twitter, as a social media device, to track communications related to the 2015 U.S. foodborne illness outbreak linked to Salmonella in imported cucumbers from Mexico. The relevant Twitter data are analyzed in light of the timeline of the official announcements made by the Centers for Disease Control and Prevention (CDC).
arxiv
Advancing Food Safety in Bangladesh: Challenges and the Promise of Smart Sensor Technology
This study critically analyzes prevalent food safety hazards in Bangladesh and identifies key challenges in food safety practices and regulations. It discusses factors influencing food safety and explores strategies to enhance public health. Additionally, advancements in smart sensor‐based detection methods for food hazards are highlighted to offer ...
Md Wadud Ahmed, Mohammed Kamruzzaman
wiley +1 more source
A Global Perspective of Foodborne Disease
To be informed about foodborne diseases is a basic requirement for the production of safe food. Establishing the patterns of disease facilitates policy decisions, provides a basis for legislative action and the development of intervention strategies, and helps to set priorities in relation to research investments.
S. Notermans, Martien W. Borgdorff
openaire +3 more sources
Locating the Source of Large-scale Diffusion of Foodborne Contamination [PDF]
We study the problem of identifying the source of emerging large-scale outbreaks of foodborne disease. To solve the source identification problem we formulate a probabilistic model of the contamination diffusion process as a random walk on a network and derive the maximum likelihood estimator for the source location.
arxiv
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only [PDF]
Health departments have been deploying text classification systems for the early detection of foodborne illness complaints in social media documents such as Yelp restaurant reviews. Current systems have been successfully applied for documents in English and, as a result, a promising direction is to increase coverage and recall by considering documents ...
arxiv
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays [PDF]
We systematically evaluate the performance of deep learning models in the presence of diseases not labeled for or present during training. First, we evaluate whether deep learning models trained on a subset of diseases (seen diseases) can detect the presence of any one of a larger set of diseases.
arxiv
Chagas' Disease as a Foodborne Illness
Various researchers have studied the importance of the oral transmission of Chagas' disease since the mid-20th century. Only in recent years, due to an outbreak that occurred in the Brazilian State of Santa Catarina in 2005 and to various outbreaks occurring during the last 3 years in the Brazilian Amazon basin, mainly associated with the consumption ...
Luiz Augusto Corrêa Passos+5 more
openaire +3 more sources
ObjectiveTo analyze the characteristics and risk factors of foodborne diseases in children aged 0 – 6 years in Hainan province from 2013 to 2022, and to provide evidence for effective prevention and control of the diseases.
Jixiao WANG+7 more
doaj +1 more source