On the efficacy of facial masks to suppress the spreading of pathogen-carrying saliva particles during human respiratory events: Insights gained via high-fidelity numerical modeling

This study evaluates the effectiveness of various facial masks in reducing the spread of pathogen-laden saliva particles during respiratory events such as breathing, coughing, and speaking. Using high-fidelity numerical modeling, we simulate the airflow and particle dynamics involved in these events and assess how different mask types alter the dispersion and deposition of exhaled particles. Our results demonstrate the critical role masks play in minimizing transmission risk by significantly suppressing particle spread. These findings provide valuable insights for public health recommendations and personal protective equipment design.

Recommended citation: Seyedzadeh, H., Craig, J., & Khosronejad, A. (2024). On the efficacy of facial masks to suppress the spreading of pathogen-carrying saliva particles during human respiratory events: Insights gained via high-fidelity numerical modeling. Medical research archives, 12(5), 5441.
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