Senior Researcher Sourangsu Chowdhury from CICERO Center for International Climate Research together with Professor Sagnik Dey from the Indian Institute of Technology Delhi and Associate Professor Sari Kovats from the London School of Hygiene and Tropical Medicine are convening a multidisciplinary session on climate change and health at the General Assembly 2024 of the European Geosciences Union (EGU) to take place in Vienna and online 14-19 April 2024.
Title of session: Quantifying human health risks in changing climate | PICO
CALL FOR ABSTRACTS, find out more here: Abstract submission
The deadline for receipt of abstracts is 10th Jan, 2024
For waivers and travel support consideration, the abstracts must be submitted by 1st December 2023- more info here
About the session: The close relationship between climate, environment, and health is evident, as climate change presents substantial threats to human welfare. The increase in global temperatures, the occurrence of extreme weather events, and shifts in precipitation patterns all have direct and indirect repercussions on public health and also act through environmental exposures (e.g. air pollution). Climate and land use change can affect the spread of diseases transmitted by vectors, such as malaria, and heighten the risk of waterborne illnesses. Climate change may lead to severe wildfires and episodes of air pollution. To confront these intricate challenges, it is imperative to foster interdisciplinary collaboration among climate researchers, epidemiologists and public health researchers and social scientists, which is the primary goal of this session.
This multidisciplinary session seeks to create a platform for presenting the latest innovations in using remote sensing and other large datasets for characterizing exposures relevant for human health particularly in data limited regions. The session is anticipated to encompass a wide array of topics, including satellite data for applications in human health, planetary epidemiology, risk mapping of infectious diseases, exposure mapping of heat, air pollution to quantify their impacts on human health and the use of machine learning and AI for climate and health applications.