GH026
Monitoring, Modeling and Mitigation of Harmful Algal Blooms and Environmental Pathogens
Monitoring, Modeling and Mitigation of Harmful Algal Blooms and Environmental Pathogens
Session ID#: 248880
Session Description:
Hurricanes and heavy rains have spawned cyanobacterial harmful algal blooms (CyanoHABs) and dinoflagellates. Climatic and environmental changes often confer selective advantages on environmental pathogens, increasing their virulence and infectivity. Prolonged cold spells have precipitated norovirus outbreaks. Low tides, heat waves, and high sea surface temperatures have resulted in increased reports of human vibrio and mycobacterial infections. This session is intended to improve our understanding of the onset, prevalence, persistence, exposure, and mitigation of toxic and infectious organisms in the environment. To that end, this session solicits contributions that would improve our understanding of the seasonal occurrences, long-range dependence, and spatiotemporal distributions of these environmental pathogens and CyanoHABs by presenting GeoHealth indicators (e.g., temperature, solar radiation, and rainfall), advanced monitoring technologies (e.g., satellite remote sensing and drone), effective modeling tools (such as Bayesian geo-spatial modeling, Machine Learning-based and numerical modeling-based, and AI-interpreted forecasting tools), and exposure-mitigation strategies to protect public health.
Co-Sponsor(s):
- B - Biogeosciences
- GC - Global Environmental Change
- IN - Informatics
Index Terms:
0230 Impacts of climate change: human health [GEOHEALTH]
0245 Vector-borne diseases [GEOHEALTH]
1942 Machine learning [INFORMATICS]
1952 Modeling [INFORMATICS]
Primary Convener: Zhiqiang Deng, Professor, Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, United States
Convener: James H. Diaz, LSU Health Sciences Center New Orleans, School of Public Health, New Orleans, United States
See more of: GeoHealth