Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries
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...
- Autores:
-
Carollo Toscan, Paloma
Neckel, Alcindo
Stolfo Maculan, Laércio
Korcelski, Cleiton
Silva Oliveira, Marcos Leandro
BODAH, ELIANE
William Bodah, Brian
Kujawa, Henrique Aniceto
Gonçalves Jr., Affonso Celso
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9355
- Acceso en línea:
- https://hdl.handle.net/11323/9355
https://doi.org/10.1016/j.gsf.2021.101310
https://repositorio.cuc.edu.co/
- Palabra clave:
- Remote sensing
Reflectance temperature
Atmospheric contamination
Urban environment
SARS-CoV-2
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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| dc.title.eng.fl_str_mv |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries |
| title |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries |
| spellingShingle |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries Remote sensing Reflectance temperature Atmospheric contamination Urban environment SARS-CoV-2 |
| title_short |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries |
| title_full |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries |
| title_fullStr |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries |
| title_full_unstemmed |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries |
| title_sort |
Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries |
| dc.creator.fl_str_mv |
Carollo Toscan, Paloma Neckel, Alcindo Stolfo Maculan, Laércio Korcelski, Cleiton Silva Oliveira, Marcos Leandro BODAH, ELIANE William Bodah, Brian Kujawa, Henrique Aniceto Gonçalves Jr., Affonso Celso |
| dc.contributor.author.spa.fl_str_mv |
Carollo Toscan, Paloma Neckel, Alcindo Stolfo Maculan, Laércio Korcelski, Cleiton Silva Oliveira, Marcos Leandro BODAH, ELIANE William Bodah, Brian Kujawa, Henrique Aniceto Gonçalves Jr., Affonso Celso |
| dc.subject.proposal.eng.fl_str_mv |
Remote sensing Reflectance temperature Atmospheric contamination Urban environment SARS-CoV-2 |
| topic |
Remote sensing Reflectance temperature Atmospheric contamination Urban environment SARS-CoV-2 |
| description |
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. |
| publishDate |
2021 |
| dc.date.issued.none.fl_str_mv |
2021-09-28 |
| dc.date.accessioned.none.fl_str_mv |
2022-07-08T13:32:01Z |
| dc.date.available.none.fl_str_mv |
2022-07-08T13:32:01Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
| dc.type.content.spa.fl_str_mv |
Text |
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info:eu-repo/semantics/article |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_6501 |
| dc.identifier.citation.spa.fl_str_mv |
Paloma Carollo Toscan, Alcindo Neckel, Laércio Stolfo Maculan, Cleiton Korcelski, Marcos L.S. Oliveira, Eliane Thaines Bodah, Brian William Bodah, Henrique Aniceto Kujawa, Affonso Celso Gonçalves, Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries, Geoscience Frontiers, 2021, 101310, ISSN 1674-9871, https://doi.org/10.1016/j.gsf.2021.101310. |
| dc.identifier.issn.spa.fl_str_mv |
1674-9871 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/9355 |
| dc.identifier.url.spa.fl_str_mv |
https://doi.org/10.1016/j.gsf.2021.101310 |
| dc.identifier.doi.spa.fl_str_mv |
10.1016/j.gsf.2021.101310 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Paloma Carollo Toscan, Alcindo Neckel, Laércio Stolfo Maculan, Cleiton Korcelski, Marcos L.S. Oliveira, Eliane Thaines Bodah, Brian William Bodah, Henrique Aniceto Kujawa, Affonso Celso Gonçalves, Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries, Geoscience Frontiers, 2021, 101310, ISSN 1674-9871, https://doi.org/10.1016/j.gsf.2021.101310. 1674-9871 10.1016/j.gsf.2021.101310 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/9355 https://doi.org/10.1016/j.gsf.2021.101310 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Geoscience Frontiers |
| dc.relation.references.spa.fl_str_mv |
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Carollo Toscan, PalomaNeckel, AlcindoStolfo Maculan, LaércioKorcelski, CleitonSilva Oliveira, Marcos LeandroBODAH, ELIANEWilliam Bodah, BrianKujawa, Henrique AnicetoGonçalves Jr., Affonso Celso2022-07-08T13:32:01Z2022-07-08T13:32:01Z2021-09-28Paloma Carollo Toscan, Alcindo Neckel, Laércio Stolfo Maculan, Cleiton Korcelski, Marcos L.S. Oliveira, Eliane Thaines Bodah, Brian William Bodah, Henrique Aniceto Kujawa, Affonso Celso Gonçalves, Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries, Geoscience Frontiers, 2021, 101310, ISSN 1674-9871, https://doi.org/10.1016/j.gsf.2021.101310.1674-9871https://hdl.handle.net/11323/9355https://doi.org/10.1016/j.gsf.2021.10131010.1016/j.gsf.2021.101310Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/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.16 páginasapplication/pdfengChina University of Geosciences (Beijing) and Peking UniversityChinaAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteriesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www.sciencedirect.com/science/article/pii/S1674987121001742Geoscience FrontiersAbia, A.L.K., Alisoltani, A., Ubomba-Jaswa, E., Dippenaar, M.A., 2019. Microbial life beyond the grave: 16s rrna gene-based metagenomic analysis of bacteria diversity and their functional profiles in cemetery environments. Sci. Total Environ. 655, 831–841.Adulkongkaew, T., Satapanajaru, T., Charoenhirunyingyos, S., Singhirunnusorn, W., 2020. 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Front., 101279161Remote sensingReflectance temperatureAtmospheric contaminationUrban environmentSARS-CoV-2PublicationORIGINALUse of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.pdfUse of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.pdfapplication/pdf7194194https://repositorio.cuc.edu.co/bitstreams/4f8b6208-ecc8-47bf-9103-9270d14a8b84/downloade217caadbfaa7f25565e5851312a6e70MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/d1f836b7-f293-42a2-9e5f-329565eeb7a3/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTUse of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.pdf.txtUse of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.pdf.txttext/plain70919https://repositorio.cuc.edu.co/bitstreams/1a455b8c-e522-466c-940b-e16c3cbe44d2/download33c94f4c88b802f6191b6fcdcbc64333MD53THUMBNAILUse of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.pdf.jpgUse of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.pdf.jpgimage/jpeg16318https://repositorio.cuc.edu.co/bitstreams/4f7edda6-4888-4fea-8337-bf7efd9af44e/downloadf102e3566bfd938d9038714ea1d2ae4dMD5411323/9355oai:repositorio.cuc.edu.co:11323/93552024-09-17 14:11:47.859https://creativecommons.org/licenses/by-nc-nd/4.0/Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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