GH020
Early Warning Systems for Infectious Disease Based on Climate and Environmental Variability II Posters

Wednesday, 16 December 2020: 04:00-20:59
Poster
Primary Convener:  Moiz Usmani, University of Florida, Ft Walton Beach, FL, United States
Conveners:  Thanh H Nguyen, University of Illinois at Urbana Champaign, Urbana, IL, United States, Anthony L NguyRobertson, National Geospatial Intelligence Agency, Springfield, United States and Jesse E Bell, University of Nebraska Medical Center, Environmental, Agricultural, and Occupational Health, Omaha, NE, United States
Primary Liaison:  Moiz Usmani, University of Florida, Ft Walton Beach, FL, United States
Chairs:  Thanh H Nguyen, University of Illinois at Urbana Champaign, Urbana, IL, United States, Anthony L NguyRobertson, National Geospatial Intelligence Agency, Springfield, United States, Jesse E Bell, University of Nebraska Medical Center, Environmental, Agricultural, and Occupational Health, Omaha, NE, United States and Moiz Usmani, University of Florida, Ft Walton Beach, FL, United States
OSPA Liaison:  Moiz Usmani, University of Florida, Ft Walton Beach, FL, United States
 
Myanmar Malaria Early Warning System (MMEWS): Multi-sensor satellite data fusion system for monitoring socio-environmental predictors of malaria in Myanmar (675536)
Varada Shevade1, Dong Chen2, Jiaying He1, Allison E Baer1, Amanda Hoffman-Hall1 and Tatiana V Loboda1, (1)University of Maryland, College Park, MD, United States, (2)University of Maryland College Park, College Park, United States
 
The D-MOSS Dengue Fever Forecasting System (692603)
Gina Tsarouchi, Darren Lumbroso, Barbara Hofmann and Quillon K Harpham, HR Wallingford, Wallingford, United Kingdom
 
Can transmission of infections air borne viruses be controlled? (745033)
Mayank Gangwar1, Yusuf Jamal1, Moiz Usmani1, Rita R Colwell2 and Antarpreet Singh Jutla1, (1)University of Florida, Ft Walton Beach, FL, United States, (2)University of Maryland College Park, Centre for Bioinformatics and Computational Biology, College Park, MD, United States
 
Comparison of the Spatial Variations in Ethiopia of Malaria Forecasting Skill Using Various Models in the Open Source EPIDEMIA Forecasting System (735750)
Dawn M Nekorchuk1, Hiwot Teka2, Adugna Woyessa3, Mulugeta Assefa3, Justin Davis1 and Michael C Wimberly1, (1)University of Oklahoma, Geography and Environmental Sustainability, Norman, OK, United States, (2)PMI/USAID, Addis Ababa, Ethiopia, (3)Ethiopian Public Health Institute, Addis Ababa, Ethiopia
 
Daily and monthly weather improve near-term population forecasts for the vector of Lyme disease (Ixodes scapularis) and it’s primary host (Peromyscus leucopus) (738594)
John R Foster1, Shannon LaDeau2, Richard Ostfeld2, Kelly Oggenfuss2 and Michael Dietze1, (1)Boston University, Boston, MA, United States, (2)Cary Institute of Ecosystem Studies, Millbrook, United States
 
Impact of El Niño-Southern Oscillation and local climate in Dengue in Colombia at different spatiotemporal scales (698805)
Estefania Munoz and German Poveda, Universidad Nacional de Colombia, Bogota, Colombia
 
Land Use Engagement and Malaria Prevalence in Ann Township, Myanmar: The Role of Forest-Related Activities (675840)
Amanda Hoffman-Hall1, Robin Puett2, Julie Silva3, Dong Chen4, Allison E Baer4, Christopher V Plowe5, Myaing Myaing Nyunt5 and Tatiana V Loboda4, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland College Park, School of Public Health, College Park, United States, (3)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (4)University of Maryland, College Park, MD, United States, (5)Duke University Global Health Institute, Durham, MD, United States
 
On the potential viability of epidemiological models in utilitarian COVID-19 prediction (732259)
Yusuf Jamal1, Moiz Usmani1, Mayank Gangwar1, Rita R Colwell2 and Antarpreet Singh Jutla1, (1)University of Florida, Ft Walton Beach, FL, United States, (2)University of Maryland College Park, Centre for Bioinformatics and Computational Biology, College Park, MD, United States
 
Toward Using Climate to Increase Lead-Time of a Malaria Early Warning System in Mozambique (680848)
Ryan D. Harp, Northwestern University, Institute for Sustainability and Energy at Northwestern, Evanston, IL, United States, James M. Colborn, Clinton Health Access Initiative, Maputo, Mozambique, Kristopher B Karnauskas, University of Colorado Boulder, Department of Atmospheric and Oceanic Sciences and CIRES, Boulder, CO, United States; Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, Baltazar Candrinho, National Malaria Control Program, Maputo, Mozambique, Kathryn L Colborn, University of Colorado Anschutz, Department of Surgery, Denver, United States, Lei Zhang, University of Colorado Boulder, Atmospheric and Oceanic Sciences, Boulder, CO, United States and Daniel E Horton, Northwestern University, Earth & Planetary Science, Evanston, IL, United States
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