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Image Credit: Physicsworld

‘Sneeze simulator’ could improve predictions of pathogen spread

  • A 'sneeze simulator' developed by researchers at the Universitat Rovira i Virgili (URV) in Spain could help scientists understand the spread of respiratory illnesses such as COVID-19 and influenza.
  • The simulator is a three-dimensional model that incorporates the nasal cavity and other parts of the human upper respiratory tract.
  • By accurately reproducing how particles are produced during coughs and sneezes, the simulator allows scientists to investigate air flow dynamics and particle dispersion patterns.
  • The findings could improve predictive models for disease transmission, inform the design of masks and ventilation systems, and help minimize airborne transmission risks.

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