Topic: Predicting Infectious Disease from Weather and Climate (105th AMS Annual Meeting)

Tuesday, 14 January 2025: 4:30 PM-6:00 PM

214 (New Orleans Ernest N. Morial Convention Center)

Host: 16th Conference on Environment and Health

Submitters:

Kacey Ernst, University of Arizona and Gisel Guzman-Echavarria

Chair:

Kacey Clarice Ernst, University of Arizona, Department of Epidemiology and Biostatistics, Tucson, AZ

Cochairs:

Gisel Guzmán, Arizona State University, School of Geographical Sciences and Urban Planning, Tempe, AZ and Hunter Jones

Weather and climate mediate the emergence and transmission of numerous infectious diseases, ranging from viral to vector-borne. This has raised increasing concerns that climate change, in changing temperature, humidity, and precipitation, will alter the seasonality and spatial range of infectious diseases. This session invites submissions that improve our understanding of the environmental drivers of infectious disease, describe modeling frameworks for predicting and projecting changes in disease prevalence on timescales ranging from days to decades, or describe solutions and best practices for reducing the transmission of environmentally-mediated diseases. Submissions salient to infectious disease early warning are particularly encouraged.

Papers:

4:30 PM

8.1

Understanding Cross-Scale Drivers of Environment-Disease Interactions Using Machine Learning: A Case Study in Bangladesh

Elizabeth Doran, University of Vermont, Burlington, VT; and K. Gleason, R. Van Der Heiden, P. King, K. Brown, and D. M. Rizzo

4:45 PM

8.2

Onchocerciasis Vector Habitat Detection Using Remote Sensing and Machine Learning Methods

Matt Boyas, MITRE Corporation, McLean, VA; and F. Samuel, V. Gammino, A. Mohammed, K. A. Tran, F. Seife, M. Frick, T. Endeshaw, M. O'Neill, A. Sahile, J. Moges, T. Seid, and E. Griswold

5:00 PM

8.3

Does flooding increase the risk of mosquito-borne diseases? Evidence, gaps, methods, and implications for early warning.

Kacey Clarice Ernst, The Univ. of Arizona, Tucson, AZ; and M. Hayden, E. Santos, P. Reyes Castro, A. Belasen, A. Kibel, M. Montalvo Corral, S. Watts, and J. Coalson

5:15 PM

8.4

Using Machine-Learning Combined with a New Dynamical Climate-Driven Aedes-Albopictus Model to Assess the Impacts of Heatwaves and Derive Optimal Intervention Strategies.

Adrian Mark Tompkins, ICTP, Trieste, TS, Italy; and M. Zornosa and C. Caminade

5:30 PM

8.5

Housing Quality Improvement Is Associated with Malaria Transmission Reduction in Costa Rica

Luis F Chaves, Indiana Univ., Bloomingotn, IN

5:45 PM

8.6

Toward Epidemic Preparedness: Incorporating Epidemic Analysis and Forecasting in TV Weathercasts.

Eric S. Toner, Johns Hopkins University, Baltimore, MD; and A. Kelly