Machine Learning Potential for Identifying and Forecasting Complex Environmental Drivers of Infections in the United States.

Journal: Environmental health perspectives
PMID: 39847704

Abstract

BACKGROUND: Environmental change in coastal areas can drive marine bacteria and resulting infections, such as those caused by , with both foodborne and nonfoodborne exposure routes and high mortality. Although ecological drivers of in the environment have been well-characterized, fewer models have been able to apply this to human infection risk due to limited surveillance.

Authors

  • Amy Marie Campbell
    School of Ocean and Earth Science, University of Southampton, National Oceanography Centre, Southampton, UK.
  • Jordi Manuel Cabrera-Gumbau
    Department of Genetics and Microbiology, Autonomous University of Barcelona, Barcelona, Spain.
  • Joaquin Trinanes
    Department of Electronics and Computer Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.
  • Craig Baker-Austin
    Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, UK.
  • Jaime Martinez-Urtaza
    Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, UK.

Keywords

External Resources

Popular Topics
Recent Journals