Although novel data streams like crowdsourced reports and social media posts may allow for rapid identification of foodborne illness events, they can also amplify false signals and lead to inaccurate self-reporting among consumers, as demonstrated in a recent survey.
A UK-based study, led by Quadram Institute researchers, underscores the limitations of traditional enumeration methods for foodborne pathogen surveillance and highlights the need for whole genome sequencing (WGS) to better assess the food safety risk posed by commensal or opportunistic Escherichia coli lineages.
The UK Food Standards Agency (FSA) has reported on the outcomes of the recently concluded, £24 million Pathogen Surveillance in Agriculture, Food, and the Environment (PATH-SAFE) program, and announced that it will continue to build on the work of PATH-SAFE with a national Food Surveillance Program.
Citing insufficient funding, CDC’s Foodborne Diseases Active Surveillance Network (FoodNet) program has reduced surveillance from eight important foodborne pathogens to just two—Salmonella and Shiga-toxin-producing Escherichia coli (STEC).
Federal support for state-level foodborne illness surveillance programs, directed by the U.S. Centers for Disease Control and Prevention (CDC), significantly improves participating states’ detection and reporting of foodborne illness outbreaks, a new study demonstrates.
Through its annual mentorship program, the National Association of County and City Health Officials (NACCHO), with support from CDC, has awarded $356,000 to local health departments across the country to expand their wastewater monitoring efforts. Wastewater monitoring can be a useful tool for foodborne illness outbreak surveillance.
In this episode of Food Safety Matters, we speak to Dr. Edward Dudley, Director of the E. coli Reference Center and Professor of Food Science at Penn State University, about the potential for wastewater monitoring to aid foodborne pathogen surveillance and bolster foodborne illness reporting.
In a new study, the UK Health Security Agency (UKHSA) evaluated the ability of artificial intelligence (AI) to detect foodborne illness outbreaks by analyzing online restaurant reviews. Although several challenges were identified that must be overcome before AI can be used routinely in epidemiological investigations, UKHSA believes the approach shows promise.
CDC released a summary of Foodborne Disease Outbreak Surveillance System data, analyzing the causes of foodborne illness outbreaks that occurred between 2014 and 2022.
Between 2017 and 2019, Canadian public health laboratories transitioned to whole genome sequencing (WGS) for foodborne illness outbreak surveillance. A recent study shows the positive impact of this transition of national outbreak detection and response for important foodborne pathogens.
