Characterization, Accumulation Profiles, and Antibiotic-Resistance of Bacteria on Worn Disposable Masks at Githurai Market in Nairobi County, Kenya

The widespread use of masks in the community was occasioned by the COVID-19 global pandemic. This study examined bacterial contamination on surgical and face masks used in Githurai Market during daily activities, focusing on the sources, accumulation, and antibiotic resistance of bacteria. Sixteen respondents were selected to wear masks, from which bacteria were isolated from the inside and outside surfaces, as well as from swabs of their nose, mouth, and skin. The bacterial load was monitored at intervals of 0 h, 2 h, 4 h, and 6 h using culture-dependent methods. The identified bacteria included Staphylococcus, Klebsiella, Stenotrophomonas, Enterococcus, and Bacillus, amongst others sourced from the users’ mouth, skin, nose, and the environment. Bacterial accumulation increased with time, peaking at 6 h of mask use. Most of the bacteria isolates showed multidrug resistance to commonly used antibiotics including cefotaxime, streptomycin, and amoxicillin. This raises concerns about potential role of masks as reservoirs for pathogenic and antibiotic-resistant bacteria. The study emphasizes the need for better mask hygiene practices to reduce microbial contamination and the risk of spreading antibiotic-resistant bacteria. It also highlights the importance of developing strategies to address these risks and ensure the continued effectiveness of masks as a part of public health measures

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Publication Details

Journal
Journal of the Oman Medical Association
Published
2025-08-29
DOI
https://doi.org/10.3390/joma2020012
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
0.00

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article

Characterization, Accumulation Profiles, and Antibiotic-Resistance of Bacteria on Worn Disposable Masks at Githurai Market in Nairobi County, Kenya

John Paul Oyore, Dennis O. Ouma, Mathew Piero Ngugi, Musa Otieno Ngayo et al.
Journal of the Oman Medical Association
Infection Control and Ventilation
article

Characterization, Accumulation Profiles, and Antibiotic-Resistance of Bacteria on Worn Disposable Masks at Githurai Market in Nairobi County, Kenya

John Paul Oyore, Dennis O. Ouma, Mathew Piero Ngugi, Musa Otieno Ngayo, Richard Oduor, Ezekiel Mugendi Njeru, Mourine Mutai, George Omwenga, Johnstone O. Neondo, Ambrose Jagongo
article en

Abstract

The widespread use of masks in the community was occasioned by the COVID-19 global pandemic. This study examined bacterial contamination on surgical and face masks used in Githurai Market during daily activities, focusing on the sources, accumulation, and antibiotic resistance of bacteria. Sixteen respondents were selected to wear masks, from which bacteria were isolated from the inside and outside surfaces, as well as from swabs of their nose, mouth, and skin. The bacterial load was monitored at intervals of 0 h, 2 h, 4 h, and 6 h using culture-dependent methods. The identified bacteria included Staphylococcus, Klebsiella, Stenotrophomonas, Enterococcus, and Bacillus, amongst others sourced from the users’ mouth, skin, nose, and the environment. Bacterial accumulation increased with time, peaking at 6 h of mask use. Most of the bacteria isolates showed multidrug resistance to commonly used antibiotics including cefotaxime, streptomycin, and amoxicillin. This raises concerns about potential role of masks as reservoirs for pathogenic and antibiotic-resistant bacteria. The study emphasizes the need for better mask hygiene practices to reduce microbial contamination and the risk of spreading antibiotic-resistant bacteria. It also highlights the importance of developing strategies to address these risks and ensure the continued effectiveness of masks as a part of public health measures

Journal of the Oman Medical AssociationVol. 2(2)
Kenyatta University (KE), Jomo Kenyatta University of Agriculture and Technology (KE), Kenya Medical Research Institute (KE)
Fonds National de la Recherche Luxembourg
Openalex Percentile: Top 67%
Infection Control and Ventilation
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