دورية أكاديمية
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.
| العنوان: | Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries. |
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| المؤلفون: | Toscan PC; Faculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil., Neckel A; Faculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil., Maculan LS; Faculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil., Korcelski C; Faculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil., Oliveira MLS; Department of Civil and Environmental, Universidad de la Costa, CUC, Calle 58 # 55-66, Barranquilla, Atlántico, Colombia.; Universidad de Lima, Departamento de Ingeniería civil y Arquitectura, Avenida Javier Prado Este 4600, Santiago de Surco 1503, Peru., Bodah ET; State University of New York, Onondaga Community College, 4585 West Seneca, Turnpike, Syracuse, NY 13215, USA.; Thaines and Bodah Center for Education and Development, 840 South Meadowlark Lane, Othello, WA 99344, USA., Bodah BW; Thaines and Bodah Center for Education and Development, 840 South Meadowlark Lane, Othello, WA 99344, USA., Kujawa HA; University of Perugia, Piazza Università, 1, 06123 Perugia, Italy., Gonçalves AC; State University of Western Paraná - UNIOESTE, Center of Agrarian Sciences, Rua Pernambuco, 1777, Centro, Marechal Cândido Rondon, PR 85960-000, Brazil. |
| المصدر: | Geoscience frontiers [Geosci Front] 2022 Nov; Vol. 13 (6), pp. 101310. Date of Electronic Publication: 2021 Sep 28. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9918523185006676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2588-9192 (Electronic) Linking ISSN: 16749871 NLM ISO Abbreviation: Geosci Front Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Amsterdam : Elsevier, [2010]- |
| مستخلص: | Urban cemeteries are increasingly surrounded by areas of high residential density as urbanization continues world-wide. With increasing rates of mortality caused by the novel coronavirus, SARS-CoV-2, urban vertical cemeteries are experiencing interments at an unprecedented rate. Corpses interred in the 3rd to 5th layer of vertical urban cemeteries have the potential to contaminate large adjacent regions. The general objective of this manuscript is to analyze the reflectance of altimetry, normalized difference vegetation index (NDVI) and land surface temperature (LST) in the urban cemeteries and neighbouring areas of the City of Passo Fundo, Rio Grande do Sul, Brazil. It is assumed that the population residing in the vicinity of these cemeteries may be exposed to SARS-CoV-2 contamination through the displacement of microparticles carried by the wind as a corpse is placed in the burial niche or during the first several days of subsequent fluid and gas release through the process of decomposition. The reflectance analyses were performed utilizing Landsat 8 satellite images applied to altimetry, NDVI and LST, for hypothetical examination of possible displacement, transport and subsequent deposition of the SARS-CoV-2 virus. The results showed that two cemeteries within the city, cemeteries A and B could potentially transport SARS-CoV-2 of nanometric structure to neighboring residential areas through wind action. These two cemeteries are located at high relative altitudes in more densely populated regions of the city. The NDVI, which has been shown to control the proliferation of contaminants, proved to be insufficient in these areas, contributing to high LST values. Based on the results of this study, the formation and implementation of public policies that monitor urban cemeteries is suggested in areas that utilize vertical urban cemeteries in order to reduce the further spread of the SARS-CoV-2 virus. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V.) |
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| فهرسة مساهمة: | Keywords: Atmospheric contamination; Reflectance temperature; Remote sensing; SARS-CoV-2; Urban environment |
| تواريخ الأحداث: | Date Created: 20230310 Latest Revision: 20230311 |
| رمز التحديث: | 20230311 |
| مُعرف محوري في PubMed: | PMC8479686 |
| DOI: | 10.1016/j.gsf.2021.101310 |
| PMID: | 36896207 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2588-9192 |
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| DOI: | 10.1016/j.gsf.2021.101310 |