The effectiveness of air-cleaning technologies against COVID-19 transmission in healthcare settings

Background The healthcare setting is a high-transmission-risk environment for COVID-19. Attending clinicians and patients are at risk of infection if measures are not established to secure the microbial safety of the health facility. Air cleaning technologies may deliver a safer clinical environment by depleting airborne viral concentrations. Aim This systematic review aims to assess the effectiveness of air-cleaning methods in preventing COVID-19 transmission in health facilities and the effectiveness of air cleaning rated by microbial depletion. Method This study is a rapid systematic review. Results No study assessed COVID-19 transmission relative to the air cleaning methods. HEPA filtration produced a more rapid and thorough removal of aerosols from health facilities. HEPA filtration showed mixed performance in removing COVID-19 viral RNA from a routine care ward and an intensive care unit (ICU). Meta-analyses could not be conducted due to dissimilarities in included studies. Conclusion The reviewed papers demonstrate that HEPA filtration hastens the depletion of aerosols from the indoor space in the health facility. Further translation of this finding to prevent COVID-19 transmission should assume the relevance of room occupancy density, virus-free outdoor air supply, recirculated filtered air, virus source strength, number of sources, and the use of facemasks by health workers and visitors to the health facility.

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Publication Details

Journal
Frontiers in Environmental Health
Published
2025-05-01
DOI
https://doi.org/10.3389/fenvh.2025.1548272
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
0.00
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article

The effectiveness of air-cleaning technologies against COVID-19 transmission in healthcare settings

Enembe Okokon, Martin Madu Meremikwu, Mathieu Bernard, Moriam Chibuzor et al.
Frontiers in Environmental Health
Infection Control and Ventilation
article

The effectiveness of air-cleaning technologies against COVID-19 transmission in healthcare settings

Enembe Okokon, Martin Madu Meremikwu, Mathieu Bernard, Moriam Chibuzor, Angela Oyo‐Ita, Chisom Ezema, Veronica Barde
article en

Abstract

Background The healthcare setting is a high-transmission-risk environment for COVID-19. Attending clinicians and patients are at risk of infection if measures are not established to secure the microbial safety of the health facility. Air cleaning technologies may deliver a safer clinical environment by depleting airborne viral concentrations. Aim This systematic review aims to assess the effectiveness of air-cleaning methods in preventing COVID-19 transmission in health facilities and the effectiveness of air cleaning rated by microbial depletion. Method This study is a rapid systematic review. Results No study assessed COVID-19 transmission relative to the air cleaning methods. HEPA filtration produced a more rapid and thorough removal of aerosols from health facilities. HEPA filtration showed mixed performance in removing COVID-19 viral RNA from a routine care ward and an intensive care unit (ICU). Meta-analyses could not be conducted due to dissimilarities in included studies. Conclusion The reviewed papers demonstrate that HEPA filtration hastens the depletion of aerosols from the indoor space in the health facility. Further translation of this finding to prevent COVID-19 transmission should assume the relevance of room occupancy density, virus-free outdoor air supply, recirculated filtered air, virus source strength, number of sources, and the use of facemasks by health workers and visitors to the health facility.

Frontiers in Environmental HealthVol. 4
University of Canberra (AU), University of Calabar (NG)
Openalex Percentile: Top 86%
Infection Control and Ventilation
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The effectiveness of air-cleaning technologies against COVID-19 transmission in healthcare settings — Enembe Okokon, Martin Madu Meremikwu, et al. · Frontiers in Environmental Health (2025) | TGRS Research Map | TGRS