Scholarlink

<p>Understanding airflow patterns and their role in pathogen dispersion in isolation rooms is essential for safeguarding healthcare workers and reducing airborne disease transmission. While previous studies explored transmission at various air changes per hour (ACH), few have examined how changes in ACH influence airflow streamline behaviour and pathogen distribution. This study investigates ACH effects on pathogen spread, focusing on streamline dynamics. An isolation room with a patient bed, table, and ventilator was modelled in CATIA V5 and simulated using a Computational Fluid Dynamics (CFD) solver based on the finite volume method. Experimental validation involved air temperature and velocity measurements. ACH values from 5 to 30 were analysed, reflecting recommended healthcare ventilation ranges. At ACH 5, streamlines followed an orderly path, effectively directing pathogens to the exhaust. At ACH 30, flow became erratic, promoting pathogen recirculation and local accumulation. Deposited particles rose by 1.51% from ACH 5 to 10, fell by 1.05% at ACH 15, increased by 1.76% at ACH 20, dropped by 1.58% at ACH 25, and surged to 1,666 particles at ACH 30. This work provides a detailed assessment of how ACH-driven airflow patterns influence airborne pathogen behaviour, offering critical insights for infection control design. Findings suggest that excessive ACH can create turbulent recirculation, undermining removal efficiency. Future work should explore adaptive ventilation strategies and temperature effects to optimise isolation room performance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Influence of airflow streamline on airborne pathogen transmission in a healthcare isolation room under variable air change rates

  • 期刊论文

  • 发表日期：

    2026年2月3日

查看全文
  • Mohamad Nur Hidayat Mat,
  • Nurul Shahadah Roslan,
  • Wong Keng Yinn,
  • Eliza M. Yusup,
  • Mohammad Akrami

摘要

Understanding airflow patterns and their role in pathogen dispersion in isolation rooms is essential for safeguarding healthcare workers and reducing airborne disease transmission. While previous studies explored transmission at various air changes per hour (ACH), few have examined how changes in ACH influence airflow streamline behaviour and pathogen distribution. This study investigates ACH effects on pathogen spread, focusing on streamline dynamics. An isolation room with a patient bed, table, and ventilator was modelled in CATIA V5 and simulated using a Computational Fluid Dynamics (CFD) solver based on the finite volume method. Experimental validation involved air temperature and velocity measurements. ACH values from 5 to 30 were analysed, reflecting recommended healthcare ventilation ranges. At ACH 5, streamlines followed an orderly path, effectively directing pathogens to the exhaust. At ACH 30, flow became erratic, promoting pathogen recirculation and local accumulation. Deposited particles rose by 1.51% from ACH 5 to 10, fell by 1.05% at ACH 15, increased by 1.76% at ACH 20, dropped by 1.58% at ACH 25, and surged to 1,666 particles at ACH 30. This work provides a detailed assessment of how ACH-driven airflow patterns influence airborne pathogen behaviour, offering critical insights for infection control design. Findings suggest that excessive ACH can create turbulent recirculation, undermining removal efficiency. Future work should explore adaptive ventilation strategies and temperature effects to optimise isolation room performance.