The U.S. Food and Drug Administration (FDA) has provided updates on the agency’s Cyclospora Prevention, Response, and Research Action Plan to reflect the current status of the agency’s work to prevent and reduce incidences of foodborne cyclosporiasis in the U.S.
A molecular sample-to-answer method developed by Rheonix Inc. and the U.S. Food and Drug Administration (FDA) enables low-level detection of Cyclospora in food and environmental samples.
The full committee of the National Advisory Committee on Microbiological Criteria for Foods (NACMCF) will hold a hybrid in-person and virtual public meeting on May 16, 2023, to provide an update on the Cyclospora cayetanensis in produce and Cronobacter in powdered infant formula subcommittee work.
The U.S. Department of Agriculture’s Food Safety and Inspection Service’s (USDA’s FSIS’) National Advisory Committee on Microbiological Criteria for Foods will hold a virtual public meeting to discuss a work related to Cronobacter, Cyclospora, and Salmonella.
The U.S. Food and Drug Administration provided an update about its ongoing Cyclospora cayetanensis prevention and research efforts under the Cyclospora Prevention, Response and Research Action Plan, including the publication of an article in Food Safety Magazine.
The Center for Produce Safety (CPS) has published a summary of the 2022 CPS Symposium, highlighting several crucial food safety findings related to Cyclospora, Listeria, biofilm control, sanitization methods, and more.
Recurring outbreaks of cyclosporiasis underscore the need for a comprehensive understanding of how Cyclospora cayetanensis contaminates water and produce
FDA Coordinated Outbreak Response and Evaluation Network (CORE), in collaboration with the U.S. Centers for Disease Control and Prevention (CDC), and state and local public health and regulatory partners, conduct foodborne illness outbreak investigations, including thoserelated to Cyclospora cayetanensis infections. In this article, the authors review the successes and challenges of identifying and responding to outbreaks caused by C. cayetanensis infections since 2013, the progress made, the challenges remaining, and what the future holds.
A team at the Unversity of Tennessee is using artificial intelligence (AI) and machine learning to more easily detect Cyclospora cayetanensis inactivation.