The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Using Machine Learning to Explore Socioeconomic and Environmental Influences on Diarrheal Disease in the Brazilian Cerrado (AGU25)

Using Machine Learning to Explore Socioeconomic and Environmental Influences on Diarrheal Disease in the Brazilian Cerrado

Nicholas Preschel1, Gillian L Galford2, Mojtaba Zeraatpisheh2, Hannah C. Turner2, Kelsey Gleason3 and Ariane Rodrigues3, (1)University of Vermont, Burlington, VT, United States, (2)University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, United States, (3)University of Vermont, Burlington, United States
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