2025/01/01 by Amy Campbell, Jordi Manuel Cabrera-Gumbau, Joaquín Triñanes +2 · 1 voice
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Anomaly Detection Techniques and Applications #COVID-19 epidemiological studies #Vibrio bacteria research studies
paper · doi:10.1289/ehp15593
openalex publication_date 2025/01/01 · openalex created_date 2025/01/24 · openalex updated_date 2026/07/28
BACKGROUND: in the environment have been well-characterized, fewer models have been able to apply this to human infection risk due to limited surveillance. OBJECTIVES: infections. METHODS: infections based on environmental data. RESULTS: infections. Further models were also developed to explore multilevel spatial resolution, finding state-specific models can improve specificity and early warning system potential by exclusively using lagged environmental data. DISCUSSION: infections. This study accentuates the potential of machine learning and robust surveillance for forecasting environmentally associated marine infections, providing future directions for improvements, further application, and operationalization. https://doi.org/10.1289/EHP15593.