GH004
Decision Support Applications for Public Health Surveillance using NASA Earth Observations

Session ID#: 157179

Session Description:
Understanding the dynamic processes of the planet is essential to support the delicate balance of humans, animals, and the surrounding ecosystems. To address these complex challenges affecting aquatic, atmospheric and terrestrial ecosystems, teams of scientists within the Earth and health science communities fill gaps in Earth observations to develop feasible action plans that ultimately promote population health. These efforts provide valuable information for authorities in their decision-making activities to reduce harmful exposures through public health advisories, effective resource allocation, and targeted health interventions. In this session, we encourage submissions that describe how NASA Earth observations link to applications related to human and ecosystem health. Possible topics include, but are not limited to, exposure to poor air quality, dangerous heat, water-related pathogens or changes in land use that lead to vector-borne disease transmission and potential zoonotic spillover. We invite novel data products and approaches, on-the-ground applications including citizen science campaigns, environmental and public health risk assessments in vulnerable communities, and social and environmental determinants impacting inequities. Ultimately, presentations highlight how NASA Earth observations offer insight for local, national, and international health decision-making.
Index Terms:

0230 Impacts of climate change: human health [GEOHEALTH]
0240 Public health [GEOHEALTH]
0245 Vector-borne diseases [GEOHEALTH]
0478 Pollution: urban, regional and global [BIOGEOSCIENCES]

Primary Convener:  Helena Chapman, NASA Headquarters, Applied Sciences Program, Washington, DC, United States
Conveners:  Laura Margaret Judd, NASA Langley Research Center, Hampton, VA, United States and Jenny Bratburd, University of Wisconsin Madison, Madison, United States
Student/Early Career Convener:  Jenny Bratburd, University of Wisconsin Madison, Madison, United States
 
A Study of Spatial Pattern of Household-level Disease Transmission Variables Using DHS/MICS Data (1051594)
Bin Fang1, Josh Michael Colston2, Venkataraman (Venkat) Lakshmi1, Margaret N Kosek3, Navya Annapareddy2 and Hamada S Badr4, (1)University of Virginia, Engineering Systems and Environment, Charlottesville, United States, (2)University of Virginia, Charlottesville, United States, (3)University of Virginia, Medicine, Charlottesville, United States, (4)Johns Hopkins University, Earth and Planetary Sciences, Baltimore, MD, United States
 
Decision Support Applications for Public Health Surveillance using NASA Earth Observations (1058873)
John Malone Beck1, Navaneeth Rangaswamy Selvaraj1, Todd Berendes2 and Sara J Graves3, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)The University of Alabama in Huntsville, Information Technology and Systems Center, Huntsville, AL, United States, (3)Univ. of Alabama/Huntsville, Huntsville, AL, United States
 
Effects of Different Environmental Data Sources on West Nile Virus Forecasting Accuracy from Arbovirus Monitoring and Prediction (ArboMAP) in Multiple US States (1072604)
Dawn M Nekorchuk, University of Oklahoma, Geography and Environmental Sustainability, Norman, United States, Anita Bharadwaja, South Dakota Department of Health, Sioux Falls, SD, United States, Julia Field, Michigan Department of Health and Human Services, Lansing, United States, Caio Martinelle B. de Franca, Southern Nazarene University, Biology, Bethany, United States, Kimberly Signs, Michigan Department of Health and Human Services, Lansing, MI, United States, Sean Simonson, Louisiana Department of Health, New Orleans, United States and Michael C Wimberly, University of Oklahoma Norman Campus, Norman, OK, United States
 
Mosquito species (Diptera: Culicidae) Ensemble Distribution Modeling: Applications for Control and Elimination (1078074)
Luis Fernando Chaves1, Mariel Friberg2, Charlotte G Rhodes3, Gabriel Hamer3, Luke R Bergmann4 and Rodrigo Marin Rodriguez5, (1)Indiana University Bloomington, Environmental and Occupational Health, Bloomington, United States, (2)University of Maryland, Earth System Science Interdisciplinary Center (ESSIC), College Park, United States, (3)Texas A & M, Entomology, College Station, United States, (4)University of British Columbia, Geography, Vancouver, Canada, (5)Ministerio de Salud, Vigilancia de la Salud, San Jose, Costa Rica
 
Estimating Daily PM2.5 Mass and Speciation Concentrations with Prediction Uncertainty Using a MAIA-like Algorithm (1088391)
Zhihao Jin, Emory Univerity, Gangarosa Department of Environmental Health, Atlanta, United States, Yang Liu, Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States, Howard H. Chang, Emory University, Department of Biostatistics and Bioinformatics, Atlanta, GA, United States and Kazuhiko Ito, New York City Department of Health and Mental Hygiene, New York, United States
 
FireAQ: a testbed of integrating NASA’s new satellite products with model predictions for decision support of air quality and public health management under smoke conditions (1098410)
Jun Wang1, Xi Chen2, Zhendong Lu3, Lorena Castro Garcia4, Huanxin Zhang4, Xiong Liu5, Meng Zhou6, Melanie B Follette-Cook7, Ana I Prados8, Scott A Epstein9, Zac Adelman10, Martha Webster11, Daniel Welsh12, Daniel Ross13 and Christoph Keller14, (1)University of Iowa, Department of Chemical and Biochemical Engineering, & Center of Global and Regional and Environmental Research, & Iowa Technology Institute, the University of Iowa, Iowa City, United States, (2)The University of Iowa, Iowa City, United States, (3)University of Iowa, Iowa City, IA, United States, (4)University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, IA, United States, (5)Center for Astrophysics | Harvard & Smithsonian, Cambridge, United States, (6)University of Iowa, Los Angeles, United States, (7)NASA GSFC, Greenbelt, United States, (8)University of Maryland Baltimore County, Baltimore, MD, United States, (9)South Coast Air Quality Management District, Diamond Bar, CA, United States, (10)Lake Michigan Air Directors Consortium, Hillside, United States, (11)Maine Department of Environmental Protection, Augusta, United States, (12)Colorado Department of Public Health & Environment, Fort Collins, United States, (13)Oklahoma Department of Environmental Quality, Oklahoma City, United States, (14)Morgan State University, Baltimore, United States
 
Linking Earth and Health Science Data within the NASA Health and Air Quality Program (1111453)
Helena Chapman, NASA Headquarters, Applied Sciences Program, Washington, DC, United States, Laura Margaret Judd, NASA Langley Research Center, Hampton, VA, United States and John Haynes, NASA Headquarters, Washington, DC, United States
 
Towards a global framework for developing predictive intelligence water-borne infectious disease decision making system (1121585)
Antarpreet Singh Jutla, University of Florida, Gainesville, United States, Moiz Usmani, University of Florida, Ft Walton Beach, FL, United States, Juan Chaves-Gonzalez, UN, New York, United States and Rita R Colwell, University of Maryland College Park, Centre for Bioinformatics and Computational Biology, College Park, MD, United States
 
Hot Sun, Cool Albedo: Roof Colors in Tucson, Arizona, U.S.A. (1122070)
Judith Hoyt1, Belem Martinez2, Suzan Aranda Luna3, America Alvarez1, Maria A Amaya4 and Nicholas E Pingitore Jr1, (1)University of Texas at El Paso, Department of Earth, Environmental, and Resource Sciences, El Paso, TX, United States, (2)University of Texas at El Paso, Department of Earth, Environmental, and Resource Sciences, El Paso, United States, (3)University of Texas at El Paso, Geological Sciences, El Paso, TX, United States, (4)University of Texas at El Paso, School of Nursing, El Paso, TX, United States
 
Air quality dashboard: a public facing platform to strengthen air quality decision-making activity over the CONUS (1133830)
Rajesh Kumar1, Cenlin He2, Piyush Bhardwaj1, Stefano Alessandrini1, Forrest Lacey3, Cassandra Olenick4, Olga Wilhelmi5, Jennifer Boehnert6, Matthew Casali7 and Priyanka Sharma8, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)University of California Los Angeles, Los Angeles, United States, (3)National Center for Atmospheric Research, Research Applications Laboratory (RAL) / Atmospheric Chemistry Observations and Modeling (ACOM), Boulder, CO, United States, (4)National Center for Atmospheric Research (NCAR), Eudcation and Outreach (E&O) / Research Applications Laboratory (RAL), Boulder, CO, United States, (5)NCAR, Boulder, CO, United States, (6)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (7)University Corporation for Atmospheric Research, Boulder, United States, (8)Jamia Milia Islamia, New Delhi, India
 
Changes in substance use-related emergency department visits during and following Hurricane Harvey using remotely sensed estimates of exposure to floodwaters (1148498)
Balaji Ramesh, Ohio State University Main Campus, Epidemiology, Columbus, OH, United States, Julia Gohlke, Virginia Polytechnic Institute and State University, Population Health Sciences, Blacksburg, VA, United States and Ayaz Hyder, Ohio State University Main Campus, Environmental Health Sciences, Columbus, United States
 
Innovative Earth Science Applications to Support Public Health Surveillance (1153493)
Helena Chapman1, Laura Margaret Judd2 and John Haynes1, (1)NASA Headquarters, Applied Sciences Program, Washington, DC, United States, (2)NASA Langley Research Center, Hampton, VA, United States
 
The use of satellite observations to assess burn pit exposures experienced by military personnel deployed in Southwest Asia. (1161712)
Meredith Franklin1, Jing Li2, Petros Koutrakis2 and Eric Garshick3, (1)University of Toronto, Toronto, Canada, (2)Harvard University, School of Public Health, Cambridge, MA, United States, (3)Department of Veterans Affairs, Boston, MA, United States
 
Citizen Science-Enabled Tools for the Global Surveillance and Control of Mosquitoes (1169010)
Russanne Low1, Peder Nelson2, Matteo Kimura3, Dan Bartlett4, Conner Mapes5, Johnny Uelmen5, Karlene Rivera5, Sriram Chellappan6, Farhat Azam6 and Ryan M. Carney5, (1)Institute for Global Environmental Strategies, Arlington, United States, (2)Oregon State University, Corvallis, United States, (3)California Institute of Technology, Pasadena, United States, (4)Northwest Mosquito Abatement District, Wheeling, United States, (5)University of South Florida, Department of Integrative Biology, Tampa, United States, (6)University of South Florida, Department of Computer Science and Engineering, Tampa, United States
 
Satellite-aided forecasting of dust storms and their societal effects in the western United States: Progress, Challenges and Lessons Learned (1174087)
Daniel Tong, George Mason University Fairfax, Fairfax, VA, United States, Thomas E Gill, University of Texas at El Paso, Geological Sciences / Environmental Science and Engineering Program, El Paso, TX, United States, William A Sprigg, Chapman University, Orange, CA, United States, Junran Jimmy Li, University of Tulsa, Geosciences, Tulsa, OK, United States, Ling Ren, George Mason University, Fairfax, United States and Jesse E Bell, University of Nebraska Medical Center, Environmental, Agricultural and Occupational Health, Omaha, United States
 
Mapping the Thermal Potential for Urban Malaria Transmission with Satellite Earth Observations (1176379)
Michael C Wimberly1, Mercedes Pascual2, Nikhil Poudyal1 and Courtney C Murdock3, (1)University of Oklahoma Norman Campus, Geography and Environmental Sustainability, Norman, United States, (2)University of Chicago, Chicago, United States, (3)Cornell University, Entomology, Ithaca, United States
 
Land data assimilation in support of improved regulatory air quality modeling (1179687)
Kenneth J Davis1, Li Zhang2, Fan Wu2, Wei Peng3, Scott Richardson2, Jeremy Avise4, Chenxia Cai5, Yuyan Cui6, Ying Hsu7, Zhan Zhao6, Andrew Fleck8, Min Zhong8 and Sean Nolan8, (1)Pennsylvania State University Main Campus, University Park, PA, United States, (2)The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (3)Pennsylvania State University Main Campus, University Park, United States, (4)California Air Resources Board, Sacramento, United States, (5)California Air Resources Board, Sacramento, CA, United States, (6)California Environmental Protection Agency Air Resources Board, Sacramento, United States, (7)CAL/EPA (Air Resources Board), Sacramento, CA, United States, (8)Department of Environmental Protection Pennsylvania, Harrisburg, United States
 
Hydrometeorological Monitoring and Subseasonal-to-Seasonal Forecast for Malaria Early Warning in the Western Amazon Basin: Collaboration for Sustained Applications (1180143)
Prakrut Haresh Kansara1, Benjamin F Zaitchik2, William K Pan3, Carlos Mena4, Manuel Narvaez5, Tashiana Osborne1, Homero Paltan6, Lorena Benitez Ramirez5 and Andrea Araujo Navas5, (1)Johns Hopkins University, Earth and Planetary Sciences, Balitmore, United States, (2)Johns Hopkins University, Earth and Planetary Sciences, Baltimore, United States, (3)Duke Univ-Global Health Inst, Durham, NC, United States, (4)Universidad San Francisco de Quito, Quito, Ecuador, (5)Universidad San Francisco de Quito, Institute of Geography, Quito, Ecuador, (6)University of Oxford, Oxford, United Kingdom
 
Effect of Saharan Dust Events on Healthcare Services of COVID-19 Patients in Three Metropolitan Hospitals of Puerto Rico using NASA Earth Observation Data and Executive Orders: An Ecological Study (1195451)
Edgar Perez-Matias1, Ana P Ortiz-Martinez2, Aluisio Pimenta-Oliveira1, Cynthia M Perez-Cardona3, David E De Angel Sola Dr.4, Maite Morales-Medina5 and Pablo Mendez-Lazaro1, (1)University of Puerto Rico Medical Sciences Campus, Environmental Health Department, San Juan, PR, United States, (2)University of Puerto Rico Medical Sciences Campus, Department of Biostatistics and Epidemiology, San Juan, PR, United States, (3)University of Puerto Rico Medical Sciences Campus, Department of Biostatistics and Epidemiology, San Juan, United States, (4)Veterans Affairs Caribbean Healthcare System, Pediatrics - Respiratory Medicine Department, New Haven, CT, United States, (5)University of Puerto Rico Medical Sciences Campus, Environmental Health Department, San Juan, United States
 
Use of Soil Moisture Active Passive satellite data (SMAP) and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil (1199206)
Moara Martins Rodgers1, John Malone2, Jeffrey C Luvall3, Prixia del Mar Nieto2 and Jennifer C McCarroll4, (1)Organization Not Listed, Washington, United States, (2)Louisiana State University, Baton Rouge, United States, (3)NASA/NSSTC, Huntsville, AL, United States, (4)Louisiana State University, Baton Rouge, LA, United States
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