Evidence map›Paper›PMID 38560184›Full record

ArticleHeliyon2024

Spatio-temporal evaluation of air pollution using ground-based and satellite data during COVID-19 in Ecuador.

Danilo Mejía C, Gina Faican, Rasa Zalakeviciute, Carlos Matovelle, Santiago Bonilla, José A Sobrino

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Relationship between COVID-19 Cases and Environmental Contaminants in Quito, Ecuador.International journal of environmental research and public health · 2024
    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

6 authors.

Danilo Mejía CGrupo CATOx - CEA de la Universidad de Cuenca, Campus Balzay, 010207 Cuenca, Ecuador.
Gina FaicanGrupo CATOx - CEA de la Universidad de Cuenca, Campus Balzay, 010207 Cuenca, Ecuador.
Rasa ZalakeviciuteGrupo de Biodiversidad Medio Ambiente y Salud (BIOMAS), Universidad de Las Americas, Quito - EC 170125, Ecuador.
Carlos MatovelleCarrera de Ingeniería Ambienta de la Universidad Católica de Cuenca, Ecuador.
Santiago BonillaResearch Center for the Territory and Sustainable Habitat, Universidad Tecnológica Indoamérica, Machala y Sabanilla, 170301 Quito, Ecuador.
José A SobrinoGobal Change Unit (GCU), Image Processing Laboratory (IPL), University of Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentration of gases in the atmosphere is a topic of growing concern due to its effects on health, ecosystems etc. Its monitoring is commonly carried out through ground stations which offer high precision and temporal resolution. However, in countries with few stations, such as Ecuador, these data fail to adequately describe the spatial variability of pollutant concentrations. Remote sensing data have great potential to solve this complication. This study evaluates the spatiotemporal distribution of nitrogen dioxide (NO

Indexed as

Atmospheric pollutionCOVID-19linear regression modelNO2O3Sentinel-5P

Identifiers

PMID38560184
PMCPMC10979269

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.