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Gupta N, Abd EL-Gawaad N, Mallasiy L. Hospital-borne hazardous air pollutants and air cleaning strategies amid the surge of SARS-CoV-2 new variants. Heliyon 2024; 10:e38874. [PMID: 39449698 PMCID: PMC11497388 DOI: 10.1016/j.heliyon.2024.e38874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 09/20/2024] [Accepted: 10/01/2024] [Indexed: 10/26/2024] Open
Abstract
Indoor air pollutants and airborne contamination removal have been challenging in healthcare facilities. The airborne transmission control and HVAC system may collapse in hospitals due to the highly infectious respiratory disease-associated patient surge, like COVID-19. Common air filtration systems and HVAC systems enhance the patients' comfort and support indoor hygiene, hitherto insufficient to control highly infectious airborne pathogens and hospital-borne pollutants such as radon, PM2.5, patient droplets, VOC, high CO2, and anesthetic gases. This review summarized important air cleaning interventions to enhance HVAC efficiency and indoor safety. We discussed efficient air cleaning and ventilation strategies including air filtration, air ionization, passive removal materials (PRM), and UVGI to minimize cross-contamination in hospital wards.
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Affiliation(s)
- Nishant Gupta
- Medical Research & Development, River Engineering Private Limited, Ecotec-3, Greater Noida, India
| | - N.S. Abd EL-Gawaad
- Department of Physics, Faculty of Science, King Khalid University, Abha, 62529, Saudi Arabia
| | - L.O. Mallasiy
- Department of Home Economics, Faculty of Science and Arts in Tihama, King Khalid University, Muhayil Asir, 61913, Saudi Arabia
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Gimenes de Castro B, Mari Fredi B, Dos Santos Bezerra R, Alcantara QA, Milani Neme CE, Mascarelli DE, Carvalho Tahyra AS, Dos-Santos D, Nappi CR, Santos de Oliveira F, Pereira Freire F, Ballestero G, Menuci Lima JB, de Andrade Bolsoni J, Lourenço Gebenlian J, Lopes Bibo N, Soares Silva N, de Carvalho Santos N, Simionatto Zucherato V, Chagas Peronni K, Guariz Pinheiro D, Dias-Neto E, Gambero Gaspar G, Roberto Bollela V, da Silva Silveira V, Maria Fontes A, Maria Martinez-Rossi N, Nanev Slavov S, Paulo Bianchi Ximenez J, Barbosa F, Araújo Silva W. Metabarcoding approach to identify bacterial community profiling related to nosocomial infection and bacterial trafficking-routes in hospital environments. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2023; 86:803-815. [PMID: 37565650 DOI: 10.1080/15287394.2023.2243978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Nosocomial infections (NIs) appear in patients under medical care in the hospital. The surveillance of the bacterial communities employing high-resolution 16S rRNA profiling, known as metabarcoding, represents a reliable method to establish factors that may influence the composition of the bacterial population during NIs. The present study aimed to utilize high-resolution 16S rRNA profiling to identify high bacterial diversity by analyzing 11 inside and 10 outside environments from the General Hospital of Ribeirão Preto Medical School, Brazil. Our results identified a high bacterial diversity, and among these, the most abundant bacterial genera linked to NIs were Cutibacterium, Streptococcus, Staphylococcus, and Corynebacterium. A Acinetobacter was detected in cafeterias, bus stops, and adult and pediatric intensive care units (ICUs). Data suggest an association between transport and alimentation areas proximal to the hospital ICU environment. Interestingly, the correlation and clusterization analysis showed the potential of the external areas to directly influence the ICU pediatric department microbial community, including the outpatient's clinic, visitor halls, patient reception, and the closest cafeterias. Our results demonstrate that high-resolution 16S rRNA profiling is a robust and reliable tool for bacterial genomic surveillance. In addition, the metabarcoding approach might help elaborate decontamination policies, and consequently reduce NIs.
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Affiliation(s)
| | - Bruno Mari Fredi
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Rafael Dos Santos Bezerra
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
- Regional Blood Center, General Hospital of Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Queren Apuque Alcantara
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
- Center for Medical Genomics, General Hospital of Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | | | | | | | - Douglas Dos-Santos
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Camilla Rizzo Nappi
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | | | | | - Giulia Ballestero
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | | | | | | | - Naira Lopes Bibo
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | | | | | | | - Kamila Chagas Peronni
- Department of the Research and Innovation, Institute for Cancer Research, Guarapuava, Parana, Brazil
| | - Daniel Guariz Pinheiro
- Department of Technology, School of Agricultural and Veterinarian Sciences, São Paulo State University, Jaboticabal, São Paulo, Brazil
| | - Emmanuel Dias-Neto
- Laboratory of Medical Genomics, International Research Center, A.C. Camargo Cancer Center, Jaboticabal, São Paulo, Brazil
| | - Gilberto Gambero Gaspar
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Valdes Roberto Bollela
- Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Vanessa da Silva Silveira
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Aparecida Maria Fontes
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Nilce Maria Martinez-Rossi
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Svetoslav Nanev Slavov
- Regional Blood Center, General Hospital of Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - João Paulo Bianchi Ximenez
- Department of Clinical Analyses, Toxicology and Food Science, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Fernando Barbosa
- Department of Clinical Analyses, Toxicology and Food Science, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Wilson Araújo Silva
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
- Regional Blood Center, General Hospital of Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
- Department of the Research and Innovation, Institute for Cancer Research, Guarapuava, Parana, Brazil
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Assessment of Indoor Air Quality of Four Primary Health Care Centers in Qatar. Microorganisms 2022; 10:microorganisms10102055. [PMID: 36296331 PMCID: PMC9608370 DOI: 10.3390/microorganisms10102055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/12/2022] [Accepted: 10/12/2022] [Indexed: 11/29/2022] Open
Abstract
Airborne bacteria pose a potential risk to human health upon inhalation in the indoor environments of health care facilities. Airborne bacteria may originate from various sources, including patients, workers, and daily visitors. Hence, this study investigates the quantity, size, and identification of airborne bacteria indoors and outdoors of four Primary Health Care Centers (PHCC) in Doha, Qatar. Air samples were collected from the lobby, triage room, and outside environment of the centers, including, Qatar University (QU-HC), Al-Rayyan (AR-HC), Umm-Ghuwailina (UG-HC), and Old Airport (OA-HC) between August 2020 and March 2021, throughout both the hot and the cold seasons. Samples were collected using an Anderson six-stage cascade impactor. The mean of the total colony-forming units was calculated per cubic meter of air (CFU/m3). QU-HC had the lowest mean of total bacterial count compared with other centers in the indoor and outdoor areas with 100.4 and 99.6 CFU/m3, respectively. In contrast, AR-HC had the highest level, with 459 CFU/m3 indoors, while OA-HC recorded the highest bacterial concentration of the outdoor areas with a total mean 377 CFU/m3. In addition, 16S rRNA sequencing was performed for genera identification. Staphylococcus, Acinetobacter, Bacillus, and Pseudomonas were the four most frequently identified bacterial genera in this study. The abundance of airborne bacteria in the four health centers was higher in the cold season. About 46% of the total airborne bacterial count for three PHCC centers exceeded 300 CFU/m3, making them uncompliant with the World Health Organization’s (WHO) recommendation for indoor settings. Consequently, an IAQ standards should be shaped to establish a baseline for measuring air pollution in Qatar. Additionally, it is crucial to understand seasonal fluctuations better so that hospitals can avoid rising and spreading infection peaks.
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