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Świsłowski P, Nowak A, Wacławek S, Ziembik Z, Rajfur M. Is Active Moss Biomonitoring Comparable to Air Filter Standard Sampling? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084706. [PMID: 35457569 PMCID: PMC9024558 DOI: 10.3390/ijerph19084706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/09/2022] [Accepted: 04/11/2022] [Indexed: 11/16/2022]
Abstract
Recently, significant attention has been paid to air quality awareness and its impact on human health, especially in urban agglomerations. Many types of dust samplers for air quality monitoring are used by governmental environmental monitoring agencies. However, these techniques are associated with high costs; as a consequence, biological methods such as active moss biomonitoring are being developed. The main disadvantages of such techniques are the lack of standardization of the preparation procedures and the lack of reliable comparisons of results with data from instrumental analyses. Our study aimed to compare the results obtained from active biomonitoring with the use of three moss species: Pleurozium schreberi, Sphagnum fallax and Dicranum polysetum. Samples were exposed via the moss-bag technique to measure the concentrations of analytes (Mn, Fe, Cu, Zn, Cd, Hg and Pb) which had accumulated among the total suspended particulates (TSP) collected from the filters of a dust collector in the city of Opole (Opole voivodeship, Poland). With regard to the physicochemical and biological traits of the mosses, their assessed lifetime and actual photochemical efficiency (yield) following exposure were meagre, which may have been related to the change of environment and their exposure to pollutants. When comparing the results obtained by the two methods used to monitor air pollution, the biomonitoring method was found to be incompletely consistent with the reference method. Biological monitoring using mosses must be carefully considered depending on the monitoring objectives, the required level of sensitivity and quality of measurement and the type of pollutant.
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Affiliation(s)
- Paweł Świsłowski
- Institute of Biology, University of Opole, Oleska St. 48, 45-022 Opole, Poland;
- Correspondence:
| | - Arkadiusz Nowak
- Institute of Biology, University of Opole, Oleska St. 48, 45-022 Opole, Poland;
- Botanical Garden—Centre for Biodiversity Conservation, Polish Academy of Sciences, Prawdziwka St. 2, 02-973 Warsaw, Poland
| | - Stanisław Wacławek
- Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Studentská St. 1402/2, 461 17 Liberec, Czech Republic;
| | - Zbigniew Ziembik
- Institute of Environmental Engineering and Biotechnology, University of Opole, B. Kominka St. 6a, 45-032 Opole, Poland; (Z.Z.); (M.R.)
| | - Małgorzata Rajfur
- Institute of Environmental Engineering and Biotechnology, University of Opole, B. Kominka St. 6a, 45-032 Opole, Poland; (Z.Z.); (M.R.)
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Alsallakh MA, Sivakumaran S, Kennedy S, Vasileiou E, Lyons RA, Robertson C, Sheikh A, Davies GA. Impact of COVID-19 lockdown on the incidence and mortality of acute exacerbations of chronic obstructive pulmonary disease: national interrupted time series analyses for Scotland and Wales. BMC Med 2021; 19:124. [PMID: 33993870 PMCID: PMC8126470 DOI: 10.1186/s12916-021-02000-w] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/30/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic and ensuing national lockdowns have dramatically changed the healthcare landscape. The pandemic's impact on people with chronic obstructive pulmonary disease (COPD) remains poorly understood. We hypothesised that the UK-wide lockdown restrictions were associated with reductions in severe COPD exacerbations. We provide the first national level analyses of the impact of the COVID-19 pandemic and first lockdown on severe COPD exacerbations resulting in emergency hospital admissions and/or leading to death as well as those recorded in primary care or emergency departments. METHODS Using data from Public Health Scotland and the Secure Anonymised Information Linkage Databank in Wales, we accessed weekly counts of emergency hospital admissions and deaths due to COPD over the first 30 weeks of 2020 and compared these to the national averages over the preceding 5 years. For both Scotland and Wales, we undertook interrupted time-series analyses to model the impact of instigating lockdown on these outcomes. Using fixed-effect meta-analysis, we derived pooled estimates of the overall changes in trends across the two nations. RESULTS Lockdown was associated with 48% pooled reduction in emergency admissions for COPD in both countries (incidence rate ratio, IRR 0.52, 95% CI 0.46 to 0.58), relative to the 5-year averages. There was no statistically significant change in deaths due to COPD (pooled IRR 1.08, 95% CI 0.87 to 1.33). In Wales, lockdown was associated with 39% reduction in primary care consultations for acute exacerbation of COPD (IRR 0.61, 95% CI 0.52 to 0.71) and 46% reduction in COPD-related emergency department attendances (IRR 0.54, 95% CI 0.36 to 0.81). CONCLUSIONS The UK-wide lockdown was associated with the most substantial reductions in COPD exacerbations ever seen across Scotland and Wales, with no corresponding increase in COPD deaths. This may have resulted from reduced transmission of respiratory infections, reduced exposure to outdoor air pollution and/or improved COPD self-management.
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Affiliation(s)
- Mohammad A Alsallakh
- Population Data Science, Swansea University Medical School, Data Science Building, Singleton Park, Swansea University, Swansea, SA2 8PP, UK.
- Health Data Research UK BREATHE Hub for Respiratory Health, University of Edinburgh, Edinburgh, EH8 9AG, UK.
| | - Shanya Sivakumaran
- Population Data Science, Swansea University Medical School, Data Science Building, Singleton Park, Swansea University, Swansea, SA2 8PP, UK
| | - Sharon Kennedy
- Health Protection Scotland, Public Health Scotland, Glasgow, UK
| | - Eleftheria Vasileiou
- Health Data Research UK BREATHE Hub for Respiratory Health, University of Edinburgh, Edinburgh, EH8 9AG, UK
- Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
| | - Ronan A Lyons
- Population Data Science, Swansea University Medical School, Data Science Building, Singleton Park, Swansea University, Swansea, SA2 8PP, UK
| | - Chris Robertson
- Health Protection Scotland, Public Health Scotland, Glasgow, UK
- Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK
| | - Aziz Sheikh
- Health Data Research UK BREATHE Hub for Respiratory Health, University of Edinburgh, Edinburgh, EH8 9AG, UK
- Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
| | - Gwyneth A Davies
- Population Data Science, Swansea University Medical School, Data Science Building, Singleton Park, Swansea University, Swansea, SA2 8PP, UK
- Health Data Research UK BREATHE Hub for Respiratory Health, University of Edinburgh, Edinburgh, EH8 9AG, UK
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Affiliation(s)
- Jasper V Been
- Division of Neonatology, Department of Paediatrics, Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Rotterdam, Netherlands.,Centre of Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Aziz Sheikh
- Centre of Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, UK.,Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts, USA
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