In France, 21 people have been sickened and two have died in a listeriosis outbreak linked to pasteurized milk cheeses produced by the Chavegrand company. Additionally, one person in Belgium has been infected with the same strain of Listeria monocytogenes.
Boar’s Head is planning to reopen a production plant that was linked to a deadly, multistate listeriosis outbreak in 2024. Meanwhile, inspection reports obtained by the Associated Press show that insanitary conditions similar to those that caused the outbreak continue to plague other Boar’s Head facilities.
A foodborne listeriosis outbreak in Ireland has sickened nine people and resulted in one death. Preliminary investigation results suggest the likely cause are ready-to-heat meals produced by Ballymaguire Foods, sold under a variety of brand names at major retailers. Recalls have been initiated in Ireland and Northern Ireland.
FDA and CDC have closed their investigation into a Listeria outbreak linked to ready-to-eat products produced by Fresh and Ready Foods of San Fernando, California, announcing that one of the ten people who fell ill has died.
A study suggests that some food matrices (i.e., smoked fish and soft cheese) significantly increase the ability of Listeria monocytogenes to adapt, survive digestion, and cause infection. Based on the findings, modulating the fat and protein content in food could be one potential way to reduce L. monocytogenes risk.
USDA-FSIS and public health partners are investigating an outbreak of Listeria monocytogenes that currently includes 17 ill people in 13 states. As of June 17, 2025, there have been three reported deaths and one fetal loss associated with this outbreak.
Using 1,204 samples collected during 2016–2023, the researchers observed statistically significant reductions in the median time from sample collection to the issuance of a national genomic surveillance report to 26 days, despite sample numbers doubling in 2022 and 2023.
In the study, researchers analyzed the entire genome of over 1,600 Listeria strains. These DNA profiles were used to train a machine learning model that learned to identify genetic patterns associated with resistance to disinfectants commonly used in the food industry.
