GH015
Early Warning Systems for Infectious Disease Based on Climate and Environmental Variability
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
See more of: GeoHealth