Evidence map›Paper›PMID 36896207›Full record

ArticleGeoscience frontiers2022

Use of geospatial tools to predict the risk of contamination by SARS-CoV-2 in urban cemeteries.

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

Abstract read
In one paragraph

Article in Geoscience frontiers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Paloma Carollo ToscanFaculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil.
Alcindo NeckelFaculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil.
Laércio Stolfo MaculanFaculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil.
Cleiton KorcelskiFaculdade Meridional, IMED, 304, Passo Fundo, RS 99070-220, Brazil.
Marcos L S OliveiraDepartment of Civil and Environmental, Universidad de la Costa, CUC, Calle 58 # 55-66, Barranquilla, Atlántico, Colombia.
Eliane Thaines BodahState University of New York, Onondaga Community College, 4585 West Seneca, Turnpike, Syracuse, NY 13215, USA.
Brian William BodahThaines and Bodah Center for Education and Development, 840 South Meadowlark Lane, Othello, WA 99344, USA.
Henrique Aniceto KujawaUniversity of Perugia, Piazza Università, 1, 06123 Perugia, Italy.
Affonso Celso GonçalvesState University of Western Paraná - UNIOESTE, Center of Agrarian Sciences, Rua Pernambuco, 1777, Centro, Marechal Cândido Rondon, PR 85960-000, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Atmospheric contaminationReflectance temperatureRemote sensingSARS-CoV-2Urban environment

Identifiers

PMID36896207
PMCPMC8479686

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.