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Barberá-Riera M, Barneo-Muñoz M, Gascó-Laborda JC, Bellido Blasco J, Porru S, Alfaro C, Esteve Cano V, Carrasco P, Rebagliato M, de Llanos R, Delgado-Saborit JM. Detection of SARS-CoV-2 in aerosols in long term care facilities and other indoor spaces with known COVID-19 outbreaks. Environ Res 2024; 242:117730. [PMID: 38000631 DOI: 10.1016/j.envres.2023.117730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023]
Abstract
Coronavirus outbreaks are likely to occur in crowded and congregate indoor spaces, and their effects are most severe in vulnerable long term care facilities (LTCFs) residents. Public health officers benefit from tools that allow them to control COVID-19 outbreaks in vulnerable settings such as LTCFs, but which could be translated in the future to control other known and future virus outbreaks. This study aims to develop and test a methodology based on detection of SARS-CoV-2 in aerosol samples collected with personal pumps that could be easily implemented by public health officers. The proposed methodology was used to investigate the levels of SARS-CoV-2 in aerosol in indoor settings, mainly focusing on LTCFs, suffering COVID-19 outbreaks, or in the presence of known COVID-19 cases, and targeting the initial days after diagnosis. Aerosol samples (N = 18) were collected between November 2020 and March 2022 in Castelló (Spain) from LTCFs, merchant ships and a private home with recently infected COVID-19 cases. Sampling was performed for 24-h, onto 47 mm polytetrafluoroethylene (PTFE) and quartz filters, connected to personal pumps at 2 and 4 L/min respectively. RNA from filters was extracted and SARS-CoV-2 was determined by detection of regions N1 and N2 of the nucleocapsid gene alongside the E gene using RT-PCR technique. SARS-CoV-2 genetic material was detected in 87.5% samples. Concentrations ranged ND-19,525 gc/m3 (gene E). No genetic traces were detected in rooms from contacts that were isolated as a preventative measure. Very high levels were also measured at locations with poor ventilation. Aerosol measurement conducted with the proposed methodology provided useful information to public health officers and contributed to manage and control 12 different COVID-19 outbreaks. SARS-CoV-2 was detected in aerosol samples collected during outbreaks in congregate spaces. Indoor aerosol sampling is a useful tool in the early detection and management of COVID-19 outbreaks and supports epidemiological investigations.
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Affiliation(s)
- M Barberá-Riera
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain
| | - M Barneo-Muñoz
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain
| | - J C Gascó-Laborda
- Epidemiology Division, Public Health Center, Castelló de la Plana, Spain
| | - J Bellido Blasco
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain; Epidemiology Division, Public Health Center, Castelló de la Plana, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - S Porru
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain
| | - C Alfaro
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain
| | - V Esteve Cano
- Department of Inorganic and Organic Chemistry, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain
| | - P Carrasco
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain
| | - M Rebagliato
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - R de Llanos
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain.
| | - J M Delgado-Saborit
- Department of Medicine, Faculty of Health Sciences, Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain.
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Quinteros ME, Blazquez C, Ayala S, Kilby D, Cárdenas-R JP, Ossa X, Rosas-Diaz F, Stone EA, Blanco E, Delgado-Saborit JM, Harrison RM, Ruiz-Rudolph P. Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile. Environ Sci Technol 2023; 57:19473-19486. [PMID: 37976408 DOI: 10.1021/acs.est.3c00720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Biomass burning is common in much of the world, and in some areas, residential wood-burning has increased. However, air pollution resulting from biomass burning is an important public health problem. A sampling campaign was carried out between May 2017 and July 2018 in over 64 sites in four sessions, to develop a spatio-temporal land use regression (LUR) model for fine particulate matter (PM) and wood-burning tracers levoglucosan and soluble potassium (Ksol) in a city heavily impacted by wood-burning. The mean (sd) was 46.5 (37.4) μg m-3 for PM2.5, 0.607 (0.538) μg m-3 for levoglucosan, and 0.635 (0.489) μg m-3 for Ksol. LUR models for PM2.5, levoglucosan, and Ksol had a satisfactory performance (LOSOCV R2), explaining 88.8%, 87.4%, and 87.3% of the total variance, respectively. All models included sociodemographic predictors consistent with the pattern of use of wood-burning in homes. The models were applied to predict concentrations surfaces and to estimate exposures for an epidemiological study.
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Affiliation(s)
- María Elisa Quinteros
- Departamento de Salud Pública, Facultad de Ciencias de la Salud, Universidad de Talca, Avenida Lircay s/n, Talca, 3460000, Chile
- Programa Doctorado en Salud Pública, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago, 1025000, Chile
| | - Carola Blazquez
- Department of Engineering Sciences, Universidad Andres Bello, Quillota 980, Viña del Mar, 2531015, Chile
| | - Salvador Ayala
- Programa Doctorado en Salud Pública, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago, 1025000, Chile
- Departamento Agencia Nacional de Dispositivos Médicos, Innovación y Desarrollo, Instituto de Salud Pública de Chile, Marathon 1000, Ñuñoa, Santiago 0000000000, Chile
| | - Dylan Kilby
- School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, Michigan 48109, United States
| | - Juan Pablo Cárdenas-R
- Departamento de Ingeniería en Obras Civiles, Universidad de La Frontera, Avenida Francisco Salazar 01145, Temuco, Chile
- Facultad de Arquitectura, Construcción y Medio Ambiente, Universidad Autónoma de Chile, Temuco 4810101, Chile
| | - Ximena Ossa
- Departamento de Salud Pública y Centro de Excelencia CIGES, Universidad de la Frontera, Caro Solar 115, Temuco, 4780000, Chile
| | - Felipe Rosas-Diaz
- Facultad de Ingeniería Civil, Universidad Autónoma de Nuevo León, San Nicolás de Los Garza 66451, Nuevo León, México
| | - Elizabeth A Stone
- Department of Chemistry and Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa 52242, United States
| | - Estela Blanco
- Programa Doctorado en Salud Pública, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago, 1025000, Chile
- Centro de Investigación en Sociedad y Salud and Núcleo Milenio de Sociomedicina, Universidad Mayor, Santiago, 7510041, Chile
| | - Juana-María Delgado-Saborit
- Perinatal Epidemiology, Environmental Health and Clinical Research, School of Medicine, Universitat Jaume I, Avinguda de Vicent Sos Baynat, s/n, 12071 Castelló de la Plana, Castellon Spain
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, SW7 2BX, United Kingdom
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston Birmingham B152TT, U.K
| | - Roy M Harrison
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston Birmingham B152TT, U.K
- Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, PO Box 80203, Jeddah, 21589, Saudi Arabia
| | - Pablo Ruiz-Rudolph
- * Programa de Epidemiología, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago 1025000, Chile
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Hickman AL, Baker CJ, Cai X, Delgado-Saborit JM, Thornes JE. Evaluation of air quality at the Birmingham New Street Railway Station. Proc Inst Mech Eng F J Rail Rapid Transit 2018; 232:1864-1878. [PMID: 30662169 PMCID: PMC6319510 DOI: 10.1177/0954409717752180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 12/11/2017] [Indexed: 06/09/2023]
Abstract
Air pollution from diesel emissions is becoming an increased international concern, and whilst attention has been primarily focused on the automotive industry, concerns have also been raised about emissions from diesel rail vehicles. This paper reports an extensive series of measurements made at the Birmingham New Street station, a major rail interchange in the Midlands of England, with a mix of diesel and electric train movements, which is of particular concern because of the enclosed nature of the platforms. This study was undertaken in collaboration with Network Rail to better understand the environment in and around the station over a longer period to provide a more detailed analysis of the complex environment at the station. The station environment has been considered in terms of the European Union (EU) and Department of Environment, Food and Rural Affairs (DEFRA) limits as part of the monitoring methodology, but it should be noted that these limits do not apply in this environment as the Management of Health and Safety at Work Regulation 1999 and the Control of Substances Hazardous to Health Regulations 2002 are applicable. The monitoring campaign consisted of diffusion tube measurements to measure nitrogen dioxide at a large number of different locations throughout and around the station. These were followed by detailed measurements of oxides of nitrogen, particulate matter, carbon dioxide and black carbon (a diesel tracer) at a smaller number of sites at the platform level. The results are analysed to give concentrations over a wide variety of time scales, and long- and short-term averages. The effects of ambient wind conditions and individual train movements are also considered. Recommendations are made for possible remedial measures and for future work to more fully understand the physical mechanisms involved.
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Affiliation(s)
- AL Hickman
- University of Birmingham, Birmingham, UK
| | - CJ Baker
- University of Birmingham, Birmingham, UK
| | - X Cai
- University of Birmingham, Birmingham, UK
| | | | - JE Thornes
- University of Birmingham, Birmingham, UK
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García-Aleix JR, Delgado-Saborit JM, Verdú-Martín G, Amigó-Descarrega JM, Esteve-Cano V. Trends in arsenic levels in PM10 and PM 2.5 aerosol fractions in an industrialized area. Environ Sci Pollut Res Int 2014; 21:695-703. [PMID: 23842861 DOI: 10.1007/s11356-013-1950-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2013] [Accepted: 06/18/2013] [Indexed: 06/02/2023]
Abstract
Arsenic is a toxic element that affects human health and is widely distributed in the environment. In the area of study, the main Spanish and second largest European industrial ceramic cluster, the main source of arsenic aerosol is related to the impurities in some boracic minerals used in the ceramic process. Epidemiological studies on cancer occurrence in Spain points out the study region as one with the greater risk of cancer. Concentrations of particulate matter and arsenic content in PM10 and PM2.5 were measured and characterized by ICP-MS in the area of study during the years 2005-2010. Concentrations of PM10 and its arsenic content range from 27 to 46 μg/m(3) and from 0.7 to 6 ng/m(3) in the industrial area, respectively, and from 25 to 40 μg/m(3) and from 0.7 to 2.8 ng/m(3) in the urban area, respectively. Concentrations of PM2.5 and its arsenic content range from 12 to 14 μg/m(3) and from 0.5 to 1.4 ng/m(3) in the urban background area, respectively. Most of the arsenic content is present in the fine fraction, with ratios of PM2.5/PM10 in the range of 0.65-0.87. PM10, PM2.5, and its arsenic content show a sharp decrease in recent years associated with the economic downturn, which severely hit the production of ceramic materials in the area under study. The sharp production decrease due to the economic crisis combined with several technological improvements in recent years such as substitution of boron, which contains As impurities as raw material, have reduced the concentrations of PM10, PM2.5, and As in air to an extent that currently meets the existing European regulations.
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Affiliation(s)
- J R García-Aleix
- Departamento de Ingeniería Química y Nuclear, Universidad Politécnica de Valencia, Cº. de Vera, s/n, 46022, Valencia, Spain
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