U53A:
Public Health Applications of Remote Sensing
Note: Abstract submissions to Union sessions are by invitation only.
Session ID#: 23328
Session Description:
Emerging and re-emerging diseases, such as Zika, Chikungunya, Ebola and Avian Flu, pose serious challenges to global public health. Likewise, environmental pollution puts many lives at risk: The World Health Organization recently estimated that air pollution causes one of every nine deaths.
Remote sensing helps to address these challenges, providing measurements of environmental conditions such as precipitation, surface temperature, vegetation and air quality. Satellites provide global spatial coverage, a distinct advantage in regions where in situ measurements are missing or sparse. Further, satellite data offer increased statistical power to relate exposure with health outcomes.
Contributions may address vector-borne disease, water-borne disease, respiratory illness, etc., and may include applications of remote sensing to:
• Map health risks;
• Detect conditions that trigger disease outbreaks;
• Construct satellite-based health indices; or
• Provide input to models and early warning systems.
Particular attention will be paid to contributions addressing Sustainable Development Goal #3.
Primary Convener: Margaret Hurwitz, Science Systems and Applications, Inc., Lanham, MD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners: Assaf Anyamba, USRA & NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt,, United States and Bryan N Duncan, NASA Goddard Space Flight Center, Atmospheric Chemistry and Dynamics Laboratory, Greenbelt, MD, United States
Chairs: Assaf Anyamba, NASA Goddard Space Flight Center, Greenbelt, United States and Margaret Hurwitz, Science Systems and Applications, Inc., Lanham, MD, United States
OSPA Liaison: Assaf Anyamba, NASA Goddard Space Flight Center, Greenbelt, United States
Cross-Listed:
Abstracts Submitted to this Session:
Kenneth James Linthicum, USDA-ARS, Center for Medical, Agricultural and Veterinary Entomology (CMAVE), Gainesville, United States
Yuqiang Zhang1, James J West2, Rohit Mathur3, Jia Xing4,5, Christian Hogrefe6, Shawn Jon Roselle3, Dr. Jesse O Bash, Ph.D.3, Jonathan E. Pleim3, Chuen-Meei Gan3, David C. Wong7, Daniel Tong8,9, Aaron van Donkelaar10 and Randall Martin11,12, (1)Duke University, Durham, NC, United States, (2)University of North Carolina at Chapel Hill, Department of Environmental Sciences and Engineering, Chapel Hill, NC, United States, (3)U.S. Environmental Protection Agency, Research Triangle Park, NC, United States, (4)Tsinghua University, Beijing, China, (5)Tsinghua University, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing, China, (6)United States Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, 27711 13 USA, Research Triangle Park, United States, (7)U.S. Environmental Protection Agency, Atmospheric & Environmental Systems Modeling Division, Center for Environmental Measurement & Modeling, Research Triangle Park, NC, United States, (8)Cooperative Institute for Climate and Satellites University of Maryland, College Park, MD, United States, (9)NOAA Air Resources Laboratory, College Park, United States, (10)Dalhousie University, Dept Physics & Atmospheric Science, Halifax, NS, Canada, (11)Dalhousie University, Department of Physics and Atmospheric Science, Halifax, NS, Canada, (12)Harvard-Smithsonian Center for Astrophysics, Cambridge, United States
Yang Liu1, Qingyang Xiao2, Matthew J Strickland2, Howard H. Chang3 and Haidong Kan4, (1)Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States, (2)Emory University, Atlanta, GA, United States, (3)Emory University, Department of Biostatistics and Bioinformatics, Atlanta, GA, United States, (4)Fudan University, School of Public Health, Shanghai, China
