EGU25-13356, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-13356
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Short-term health impacts of PM2.5 exposure on pediatric ambulance dispatches in India using air quality data developed by machine learning
Ayako Kawano1, Sam Heft-Neal2, Srinivasa Janagama3, Matthew Strehlow3, and Eran Bendavid4
Ayako Kawano et al.
  • 1Stanford University, Doerr School of Sustainability, E-IPER, Stanford, CA, USA (akawano@stanford.edu)
  • 2Stanford University Center on Food Security and the Environment, Stanford, CA, USA
  • 3Stanford University, Emergency Medicine - Adult Clinical/Academic, Stanford, CA, USA
  • 4Stanford University, Med/Primary Care and Population Health, Stanford, CA, USA

How to cite: Kawano, A., Heft-Neal, S., Janagama, S., Strehlow, M., and Bendavid, E.: Short-term health impacts of PM2.5 exposure on pediatric ambulance dispatches in India using air quality data developed by machine learning, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13356, https://doi.org/10.5194/egusphere-egu25-13356, 2025.

This abstract has been withdrawn on 22 Apr 2025.