| Abstrakt: |
A recent study conducted by researchers at the University of Maryland explores the use of machine learning to predict the relationship between environmental variables and the concentrations of Vibrio parahaemolyticus and Vibrio vulnificus in seawater and oysters. The study found that environmental variables such as chlorophyll a content, seawater salinity, seawater temperature, and turbidity were reliable predictors of Vibrio concentrations. The research suggests that these models could be valuable in assessing and managing the risks associated with these bacteria, particularly in the face of a changing environment. Further research is needed to understand the causes and mechanisms behind variations in different strains of the bacteria. [Extracted from the article] |
