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

Session ID#: 119462

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 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.
Index Terms:

0230 Impacts of climate change: human health [GEOHEALTH]
0245 Vector-borne diseases [GEOHEALTH]
1616 Climate variability [GLOBAL CHANGE]
1833 Hydroclimatology [HYDROLOGY]


Primary Convener:  Moiz Usmani, University of Florida, Ft Walton Beach, FL, United States
Conveners:  Anthony L NguyRobertson, National Geospatial Intelligence Agency, Springfield, United States and Thanh H Nguyen, University of Illinois at Urbana Champaign, Urbana, IL, United States
Primary Liaison:  Moiz Usmani, University of Florida, Ft Walton Beach, FL, United States
See more of: GeoHealth