CL4.13 Media

Multiple environmental pathways have emerged from the climatic variability and extreme weather events, which have affected the state of well-being of human health. These phenomena have affected the spatiotemporal distribution of diseases such as Zika, Dengue, Cholera, Influenza, and others through the influence of vectors on making the hosts more susceptible to diseases- ultimately leading to conditions of trigger and transmission of infections in the human population. Remote sensing and station based hydroclimatic data can be used as an early indicator to mitigate the adverse impact of these outbreaks on human health.
This session will provide a platform to discuss the impacts of enhanced climatic variability on the spatiotemporal movement of diseases and the development of early warning systems. We encourage abstract submissions on the topics of climate-linked to diseases, disease monitoring and climate-based predictions of diseases.

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Convener: Moiz Usmani | Co-conveners: Dalia Kirschbaum, Damiano Pasetto, Javier Perez-Saez
Posters
| Attendance Fri, 12 Apr, 08:30–10:15
 
Hall X5

Multiple environmental pathways have emerged from the climatic variability and extreme weather events, which have affected the state of well-being of human health. These phenomena have affected the spatiotemporal distribution of diseases such as Zika, Dengue, Cholera, Influenza, and others through the influence of vectors on making the hosts more susceptible to diseases- ultimately leading to conditions of trigger and transmission of infections in the human population. Remote sensing and station based hydroclimatic data can be used as an early indicator to mitigate the adverse impact of these outbreaks on human health.
This session will provide a platform to discuss the impacts of enhanced climatic variability on the spatiotemporal movement of diseases and the development of early warning systems. We encourage abstract submissions on the topics of climate-linked to diseases, disease monitoring and climate-based predictions of diseases.