Application of AI tools Using Earth Observations (EO) for Health Risk Monitoring/Assessment and Early Warning.
Application of AI tools Using Earth Observations (EO) for Health Risk Monitoring/Assessment and Early Warning.
Session ID#: 281624
Session Description:
This session presents examples of the application of Artificial Intelligence (AI) tools using Earth Observations (EO) in the monitoring, early warning and risk assessment of health-related impacts of environmental threats/events. AI provides the opportunity for identifying and quantifying conceivably ambiguous and/or noisy relationships between EO observed environmental parameters and health outcomes. The session is aligned with the Group on Earth Observations (GEO)-Health Community of Practice’s (CoP’s) One-Health approach to advance scientific knowledge of ongoing public health threats by integrating human, animal, and ecosystem health.
Co-Sponsor(s):
- A - Atmospheric Sciences
- GC - Global Environmental Change
- SY - Science and Society
Index Terms:
0240 Public health [GEOHEALTH]
0245 Vector-borne diseases [GEOHEALTH]
1640 Remote sensing [GLOBAL CHANGE]
4306 Multihazards [NATURAL HAZARDS]
Primary Convener: Sushel Unninayar, NASA/GSFC-HSL & Morgan State University-DRED, Greenbelt, MD, United States
Conveners: Benjamin F Zaitchik, Johns Hopkins University, Earth and Planetary Sciences, Baltimore, MD, United States, Helena Chapman, NASA Headquarters, Earth Action Program, Washington, DC, United States and John Haynes, NASA Headquarters, Earth Action Program, Washington, United States
See more of: GeoHealth