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SUMMARY:EON June seminar: Jahn\, Sally\, “Effectively Using Weather and C
 limate Data for Health Applications: A Climate Change Impact Assessment Wo
 rkflow for Vector-Borne Diseases in Africa and South America”
DESCRIPTION:Bio:\nSally is a physical geographer and climate & environmenta
 l scientist whose quantitative research focuses on climate change\, climat
 e impacts\, and public health. She specialises in geospatial analysis\, vi
 sualisation\, and modelling\, working with Earth observation data\, climat
 e model outputs\, and other large-scale datasets\, and applying bias-corre
 ction and downscaling techniques to support the effective integration of e
 nvironmental data into climate impact and health research.\nSally is curre
 ntly a Postdoctoral Research Associate at Imperial College London\, workin
 g within the Wellcome-funded climate programme of the Vaccine Impact Model
 ling Consortium (VIMC). She holds a Dr. rer. nat. and MSc in Climate and E
 nvironmental Sciences from the University of Augsburg\, and a BSc in Geogr
 aphy from Ludwig-Maximilians-Universität München (LMU Munich)\, includin
 g a semester abroad in Earth Sciences at the University of Alberta (Canada
 ).\n \nAbstract: \nResearch at the intersection of climate\, weather\, an
 d health is a rapidly growing field that spans multiple disciplines. While
  interdisciplinary research enables the integration of diverse expertise a
 nd the development of innovative methodologies\, combining data from diffe
 rent domains in a meaningful and consistent way remains a significant chal
 lenge. This talk will highlight effective approaches for using Earth obser
 vation data and global climate model outputs to assess the impacts of clim
 ate change on health\, with a particular focus on tropical vector-borne di
 seases. As a case study\, we examine how estimates of administrative-level
  transmission risk for vector-borne diseases are sensitive to the choice o
 f reference climatology\, global climate model\, and emissions scenario\, 
 using a bias-corrected and downscaled climate projection dataset developed
  specifically for health-related climate impact research. We focus on yell
 ow fever\, a vaccine-preventable zoonotic arbovirus endemic to tropical re
 gions of South America and Africa. 
URL:https://www.imperial.ac.uk/events/209466/eon-june-seminar-jahn-sally-ef
 fectively-using-weather-and-climate-data-for-health-applications-a-climate
 -change-impact-assessment-workflow-for-vector-borne-diseases-in-africa-and
 -south-america/
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LOCATION:United Kingdom
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