Search Articles

View query in Help articles search

Search Results (1 to 10 of 215 Results)

Download search results: CSV END BibTex RIS


Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach

Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach

This is a novel use of the framework described in the study by Campbell et al [17] for characterizing V parahaemolyticus expansion dynamics. From the ecological perspective, SST was a strong predictor variable, as expected from well-established interactions between V parahaemolyticus and SST [69]; however, maximum temperatures during June, July, and August emerged as the strongest driver, alongside lagged effects from the previous year.

Amy Marie Campbell, Chris Hauton, Ronny van Aerle, Jaime Martinez-Urtaza

JMIR Bioinform Biotech 2024;5:e62747