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Session Proposal: Early Warning Systems for Infectious Disease Based on Climate and Environmental Variability (AGU25)

GH015
Early Warning Systems for Infectious Disease Based on Climate and Environmental Variability

Session ID#: 247496

Session Description:
There are multiple environmental pathways that impact human, animal, and plant health. Increasing climatic variability, including extreme weather events, coupled with human-environmental interactions leads to increased risks of disease outbreaks including vector- (e.g. Zika, Dengue, Chikungunya, Malaria, Rift Valley Fever), water- (e.g. Cholera, Dysentery, Typhoid) and air-borne (e.g. Coronavirus, Influenza) diseases. These phenomena have a spatiotemporal distribution driven by the interactions of climate and environmental variables (e.g. precipitation, specific humidity, runoff, vegetation indices) with that of the vectors and hosts of each individual disease. This session is seeking research that advances the state-of-the-art in disease early warning. This can range from developing the system for which these disease models can reside to advancing the science behind individual routes of transmission using climatic, weather, and remote sensing data products.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • H - Hydrology
  • NH - Natural Hazards
Index Terms:

0240 Public health [GEOHEALTH]
4321 Climate impact [NATURAL HAZARDS]
4322 Health impact [NATURAL HAZARDS]
Primary Convener:  Moiz Usmani, University of Alabama at Birmingham, Birmingham, AL, United States
Conveners:  Helen H Nguyen, University of Illinois at Urbana Champaign, Urbana, United States, Kyle Brumfield, University of Maryland, Department of Cell Biology and Molecular Genetics, College Park, United States and Jesse E Bell, University of Nebraska Medical Center, Environmental, Agricultural and Occupational Health, Omaha, United States
 
Hantavirus is associated with open developed areas and arid climates, highlighting increased risk in the western United States (1852397)
Morgan E. Gorris1, Amy Whitesell2, Andrew W. Bartlow1, Carson Telford3 and Trevor Shoemaker2, (1)Los Alamos National Laboratory, Los Alamos, United States, (2)U.S. Centers for Disease Control and Prevention, Atlanta, United States, (3)University of North Carolina at Chapel Hill, Chapel Hill, United States
 
Predictive intelligence for vibriosis in the eastern United States employing Bayesian spatial modelling (1874283)
Bailey Magers1, Sunil Kumar2, Kyle Brumfield3, Katherine Deliz Quinones4, Rita Colwell3 and Dr. Antarpreet Singh Jutla, PhD2, (1)University of Florida, Gainesville, United States, (2)University of Florida, Environmental Engineering Sciences, Ft Walton Beach, FL, United States, (3)University of Maryland, Department of Cell Biology and Molecular Genetics, College Park, United States, (4)University of Florida, Environmental Engineering Sciences, Gainesville, United States
 
A Bayesian Framework to Assess Antimicrobial Resistance Prevalence Using Satellite Earth Observations and Socio-Environmental Data (1880094)
Sunil Kumar1, Bailey Magers2, Kyle Brumfield3, Helen H Nguyen4, Rita Colwell3 and Dr. Antarpreet Singh Jutla, PhD1, (1)University of Florida, Environmental Engineering Sciences, Ft Walton Beach, FL, United States, (2)University of Florida, Gainesville, United States, (3)University of Maryland, Department of Cell Biology and Molecular Genetics, College Park, United States, (4)University of Illinois at Urbana Champaign, Urbana, United States
 
Spatial Characteristics of ASF-Infected Pig Farms and Strategic Site Planning for Livestock Disease Prevention (1889955)
Minkyu JI, KEI Korea Environment Institute, Environmental Assessment Group, Sejong, South Korea, Who-Seung Lee, KEI Korea Environment Institute, Division for Natural Environment, Sejong, South Korea and KOREA ENVIRONMENT INSTITUTE
 
 
Tropical Atlantic and Indian Ocean Temperatures Shape Malaria Risk in Malawi Through Impacts on Soil Moisture (1897834)
Maxwell Elling1, Kristopher B Karnauskas2, Megan Kowalcyk3, Andrea Buchwald4 and Robert McCann4, (1)University of Colorado at Boulder, Boulder, United States, (2)University of Colorado Boulder, Boulder, United States, (3)Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, United States, (4)University of Maryland School of Medicine, Center for Vaccine Development and Global Health, Baltimore, United States
 
It's Heating up for Mosquitoes: Impacts of Climate on Mosquito Populations in Harris County and What This Means for Vector-borne Diseases (1901123)
Isabelle Bunge1, Sylvia Dee2, Owen Silberg3, Maria Elena Bottazzi4, Sarah Gunter5, Peter Hotez4, Shannon Elizabeth Ronca4 and Courtney Standlee6, (1)Rice University, Department of Earth, Environment and Planetary Sciences, Houston, United States, (2)Rice University, Earth, Environmental, and Planetary Sciences, Houston, TX, United States, (3)Rice University, Houston, United States, (4)Baylor College of Medicine, Department of Pediatrics, Division of Tropical Medicine and Department of Molecular Virology and Microbiology, Houston, United States, (5)Baylor College of Medicine, Department of Pediatrics, Division of Tropical Medicine, Houston, United States, (6)Harris County Public Health, Harris County Mosquito and Vector Control, Houston, United States
 
Spatiotemporal variation in risk of Campylobacter infection in childhood: a global risk mapping and prediction model using individual participant data (1903718)
Nasif Hossain1, Benjamin F Zaitchik2, Venkataraman (Venkat) Lakshmi3, Kosek Margaret N4 and Josh Michael Colston4, (1)University of Virginia, Environmental Institute, Charlottesville, VA, United States, (2)Johns Hopkins University, Earth and Planetary Sciences, Baltimore, MD, United States, (3)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States, (4)University of Virginia, Department of Medicine, Division of Infectious Disease and International Health, Charlottesville, United States
 
Assessing Monsoon Rainfall Variability and Drinking Water Contamination Risks in Rural Maharashtra Schools (1915209)
Mohd Sulaiman, ROORKEE COLLEGE OF PHARMACY, Roorkee, India
 
IMPACTS OF EXTREME WEATHER EVENTS ON VEGETATION AND RODENT POPULATIONS IN EASTERN KANSAS (1916085)
Madison Mitchell1, Liz Langford1, Jejung Lee2, Aaron Reed3, Fengpeng Sun2 and Majid Bani Yaghoub4, (1)University of Missouri Kansas City, Division of Natural and Built Environment, Kansas City, United States, (2)University of Missouri - Kansas City, Kansas City, United States, (3)University of Missouri Kansas City, Division of Biological and Biomedical Systems, Kansas City, United States, (4)University of Missouri Kansas City, Division of Computing, Analytics and Mathematics, Kansas City, United States
 
Forecasting Valley Fever Cases in Arizona to Reduce Disease Burden (1925425)
Cally E. Erickson, Andrew W. Bartlow, Morgan E. Gorris and Kimberly A. Kaufeld, Los Alamos National Laboratory, Los Alamos, United States
 
Examining factors in the transmission of avian influenza from elephant seals in Antarctica (1926841)
Avery Arena1, Andrew W. Bartlow1, Jeanne M. Fair2 and Morgan E. Gorris1, (1)Los Alamos National Laboratory, Los Alamos, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States
 
Recent and Forecasted Increases in Coccidioidomycosis Incidence Linked to Hydroclimatic Swings in California (1929035)
Alexandra Heaney1, Simon Camponuri2, Gail Sondermeyer Cooksey3, Seema Jain4, Duc Vugia3, Daniel Swain5, John Balmes6, Justin Remais2 and Head Jennifer7, (1)University of California San Diego, La Jolla, CA, United States, (2)University of California Berkeley, Berkeley, United States, (3)California Department of Public Health, Richmond, United States, (4)San Francisco Department of Public Health, San Francisco, United States, (5)University of California, Los Angeles, Los Angeles, United States, (6)University of California San Francisco, San Francisco, United States, (7)University of Michigan, Ann Arbor, United States
 
Climate Extremes Contribute to Shifts in Schistosomiasis Transmission Risk (1931918)
Amirreza Meydani, University of Delaware, Department of Geography and Spatial Sciences, Newark, DE, United States, Delphis F Levia Jr, University of Delaware, Department of Geography and Spatial Sciences, Department of Plant and Soil Sciences, Department of Civil, Construction, and Environmental Engineering, Newark, DE, United States, Dr. Shuai Wang, PhD, University of Delaware, Department of Geography & Spatial Sciences, Newark, DE, United States and Robert Bergquist, Geospatial Health, Ingeröd, Brastad, Sweden
 
Interdecadal changes in ENSO characteristics at the turn of the century influenced Dengue epidemics in Thailand (1953251)
Jaime Cascante Vega, New York University, New York, NY, United States, Julian Gottfried, New York University, Department of Biology, New York City, United States, Alessandra Giannini, Laboratoire de Météorologie Dynamique/IPSL, Ecole Normale Supérieure, PSL Research University, Sorbonne Université and Columbia Climate School, Columbia University, Ecole Polytechnique, Paris, France, Mercedes Pascual, New York University, New York, United States and Leonardo Souto Ferreira, New York University, New York City, United States
 
Intersecting Memories of Immunity and Climate: Potential Multiyear and Nonlinear Impacts of the El Niño–Southern Oscillation on Infectious Disease Spread (1956436)
Maya V Chung1, Gabriel Andres Vecchi2, Wenchang Yang3, Bryan Grenfell4 and C. Jessica E Metcalf4, (1)Princeton University, Program in Atmospheric and Oceanic Sciences and The High Meadows Environmental Institute, Princeton, NJ, United States, (2)Princeton University, Department of Geosciences and The High Meadows Environmental Institute, Princeton, NJ, United States, (3)Princeton University, Department of Geosciences, Princeton, NJ, United States, (4)Princeton University, Department of Ecology and Evolutionary Biology, School of Public and International Affairs, and The High Meadows Environmental Institute, Princeton, United States
 
Investigating Enterococcus Prevalence in Coastal Alabama: The Role of Environmental Drivers (1958245)
Hamid Mehranpour and Moiz Usmani, University of Alabama at Birmingham, Birmingham, AL, United States
 
Predicting Mosquito Vector Abundance for Targeted West Nile Virus Control (1959314)
Caio Martinelle B. de Franca1, Zachary Woods1, Natalie Shreffler1, Victoria Peter1, Devin Rovito2, Aydin Read3 and Erika Podest4, (1)Southern Nazarene University, Biology, Bethany, United States, (2)Southern Nazarene University, Computer Science and Network Engineering, Bethany, United States, (3)Southern Nazarene, Biology, Bethany, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Operationalizing a Malaria Early Warning System in Panama and Honduras with potential extensions to Guatemala and Colombia (1962757)
William K Pan1, Benjamin F Zaitchik2, Mark Janko3, Prakrut Kansara4, Qianhui Zheng5, Shizuo Liu6, Mengxin Pan7, Justin Lana8, Shineng Hu9, Sarah Park10, David Lopez-Carr11, Francesco Galli8, Peter Harrell5, Christian Lara12 and Jose Loaiza13, (1)Duke University, Duke Global Health Institute, Durham, United States, (2)Johns Hopkins University, Earth and Planetary Sciences, Baltimore, MD, United States, (3)State University of New York, Buffalo, Buffalo, United States, (4)Johns Hopkins University, Earth and Planetary Sciences, Balitmore, United States, (5)Duke University, Durham, United States, (6)NICHOLAS SCHOOL of the ENVIRONMENT, Duke University, Durham, UNITED STATES, (7)Simon Fraser University, Burnaby, BC, Canada, (8)Clinton Health Access Initiative, Panama City, Panama, (9)Duke University, Division of Earth and Climate Sciences, Nicholas School of the Environment, Durham, NC, United States, (10)Clinton Health Access Initiative, Tugucigalpa, Honduras, (11)UC Santa Barbara, Santa Barbara, CA, United States, (12)Duke University Global Health Institute, Durham, United States, (13)INDICASAT, Panama City, Panama
 
Mechanistic Modeling of Aedes aegypti Mosquito Habitats for Climate-informed Dengue Forecasting—Can We Improve Lead Time While Retaining Predictive Skill? (1963964)
Chanud N Yasanayake1, Benjamin F Zaitchik2, Anand Gnanadesikan1, Lauren Gardner3, Anita Shet4, Prakrut Kansara5 and LakKumar Fernando6, (1)Johns Hopkins University, Earth & Planetary Sciences, Baltimore, MD, United States, (2)Johns Hopkins University, Earth and Planetary Sciences, Baltimore, MD, United States, (3)Johns Hopkins University, Civil & Systems Engineering, Baltimore, United States, (4)Johns Hopkins University, International Health, Baltimore, MD, United States, (5)Johns Hopkins University, Earth and Planetary Sciences, Balitmore, United States, (6)Negombo General Hospital, Centre for Clinical Management of Dengue & Dengue Haemorrhagic Fever, Negombo, Sri Lanka
 
Exploring Satellite-Derived Ocean Color and Temperature Signals for Identifying Vibrio Vulnerability Hotspots in the Gulf of America (1979535)
Swagato Biswas Ankon, University of Florida, Environmental Engineering Sciences, Gainesville, United States and Dr. Antarpreet Singh Jutla, PhD, University of Florida, Environmental Engineering Sciences, Ft Walton Beach, FL, United States
 
A machine learning approach to detect the seasonal risk of Vibrio spp. (1987765)
Komalpreet Singh1, Kyle Brumfield2, Anwar Huq3, Rita Colwell2 and Dr. Antarpreet Singh Jutla, PhD4, (1)University of Florida, Department of Enviromental Engineering Sciences, Gainesville, United States, (2)University of Maryland, Department of Cell Biology and Molecular Genetics, College Park, United States, (3)University of Maryland College Park, Maryland Pathogen Research Institute, College Park, United States, (4)University of Florida, Environmental Engineering Sciences, Ft Walton Beach, FL, United States
 
Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors (1992337)
Xiang Chen and Paula Moraga, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
 
Real-Time FloodNet Monitoring and Upper Respiratory Illnesses in Brooklyn, New York (2000707)
Shachi Mistry1, Ismail Nabeel2, Laura Cabrera3, Brett Branco4,5 and Vishal Midya2, (1)Department of Environmental Medicine at Icahn School of Medicine at Mount Sinai, Chappaqua, United States, (2)Department of Environmental Medicine at Icahn School of Medicine at Mount Sinai, New York, United States, (3)University of Puerto Rico Medical Sciences Campus, San Juan, United States, (4)City University of New York (CUNY), New York, United States, (5)City University of New York, New York, United States
 
Confounding effects via spatially-varying demographic factors upon West Nile virus surveillance in Illinois identified using a Bayesian functional data analysis model (2002964)
Adam Tonks, University of Illinois at Urbana Champaign, Department of Statistics, Urbana, United States, Lelys Bravo De Guenni, University of Illinois at Urbana Champaign, Statistics, Urbana, United States and Rebecca L. Smith, University of Illinois at Urbana Champaign, Department of Pathobiology, Urbana, United States
 
Satellites and Smartphones: Real-Time Cholera Early Warning and Risk Communication App for Kenya (2003344)
Lucy N Kamau1, Bailey Magers2, Sunil Kumar3, Dr. Antarpreet Singh Jutla, PhD4 and Ali S Akanda1, (1)University of Rhode Island, Civil and Environmental Engineering, Narragansett, RI, United States, (2)University of Florida, Gainesville, United States, (3)Indian Institute of Science Education and Research, Mohali, India, (4)University of Florida, Environmental Engineering Sciences, Ft Walton Beach, FL, United States
 
From Pixels to Predictions: Forecasting Arbovirus Risk with Satellite Data (2003759)
Mayank Gangwar, Lauren Ash and Andrew Kramer, University of South Florida Tampa, Tampa, United States
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