This Unit models the health impacts of climate and environmental stressors, such as floods, heatwaves, air pollution, sea-level rise, and region-specific hazards, on human morbidity, mortality, and broader physiological and psychological outcomes. It also assesses indirect consequences from disrupted food, water, and energy systems. Economic and econometric models, as well as Machine Learning models, estimate the substantial associated costs and relations among drivers and outcomes.
The objective is to inform equitable adaptation strategies, including early warning systems and resilience-building measures, to mitigate these effects. Emphasis is placed on developing interventions through public health and socio-economic modeling to enhance societal well-being and reduce climate-related health inequalities.
The Lancet COVID-19 Commission was launched on July 9, 2020 to assist governments, civil society, and the United Nations institutions to respond effectively to the COVID-19 pandemic. The Commission aims to offer practical solutions to the four main global challenges posed by the pandemic: suppressing the pandemic by means of pharmaceutical and non-pharmaceutical interventions; overcoming humanitarian emergencies, including poverty, hunger, and mental distress, caused by the pandemic; restructuring public and private finances in the wake of the pandemic; and rebuilding the world economy in an inclusive, resilient, and sustainable manner aligned with the Sustainable Development Goals (SDGs) and the Paris Climate Agreement. There are many creative solutions already being implemented, and a key aim of the Commission is to accelerate their adoption worldwide.
More information can be found at covid19commission.org.
ARSINOE: Climate Resilient Regions Through Systemic Solutions and Innovations
PI, Prof. Chrysi Laspidou, University of Thessaly
PI, Prof. Koundouri, Athens University of Economics and Business
PI, Dr. Ebun Akinsete, “Athena” Research and Innovation Center
PI, Martin Drews, Technical University of Denmark
PI, Prof. Ralf Ludwig, LMU Munich