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

Session ID#: 281658

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:

0230 Impacts of climate change: human health [GEOHEALTH]
1616 Climate variability [GLOBAL CHANGE]
1855 Remote sensing [HYDROLOGY]
4313 Extreme events [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 Bailey Magers, University of Florida, Gainesville, United States
Student/Early Career Convener:  Bailey Magers, University of Florida, Gainesville, United States
See more of: GeoHealth