Evidence map›Paper›PMID 35018285›Full record

ArticleMaterials today. Proceedings2022

Influence of mobility restrictions on air quality in the historic center of Cuenca city and its inference on the Covid-19 rate infections.

Néstor Diego Rivera Campoverde, Paúl Andrés Molina Campoverde, Gina Pamela Novillo Quirola, William Fernando Ortiz Valverde, Bryan Michael Serrano Ortiz

Open access · greenAbstract read
In one paragraph

Article in Materials today. Proceedings, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Néstor Diego Rivera CampoverdeUniversidad Politécnica Salesiana, Calle Vieja y Elia Liut, Cuenca EC010150, Ecuador.
Paúl Andrés Molina CampoverdeUniversidad Politécnica Salesiana, Calle Vieja y Elia Liut, Cuenca EC010150, Ecuador.
Gina Pamela Novillo QuirolaUniversidad Politécnica Salesiana, Calle Vieja y Elia Liut, Cuenca EC010150, Ecuador.
William Fernando Ortiz ValverdeUniversidad Politécnica Salesiana, Calle Vieja y Elia Liut, Cuenca EC010150, Ecuador.
Bryan Michael Serrano OrtizUniversidad Politécnica Salesiana, Calle Vieja y Elia Liut, Cuenca EC010150, Ecuador.
Politecnica Salesiana University · EC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the end of 2019 in Wuhan China city, the outbreak of the virus called SARS-CoV 2 was originated, which later became a pandemic. In Ecuador, patient zero arrived on February 14, 2020 and the first mobility restriction imposed by the Government occurred on Tuesday, March 17 of the same year. Throughout the confinement, vehicle mobility restrictions have been modified by government entities depending on the number of infected people. This article presents an air quality study in the historic center of Cuenca city as consequence of mobility changes caused by Covid-19, where a comparison of concentration levels of polluting gases of the first semester of 2018, 2019 and 2020 is made, that allow differentiating and identifying the influence of vehicular flow on air quality. It can also be verified how the decrease in vehicle mobility restrictions influenced the increase in the rate of daily infections. For the study, air quality data published by the public mobility company of the city of Cuenca (EMOV EP) and the communications issued by the Emergency Operations Committee (COE), before and during the confinement, were collected. The acquisition, classification, analysis and interpretation of the data obtained through machine learning techniques was carried out. It can be concluded that while mobility restrictions were more severe, air quality improved and infections rate of decrease. Obtaining that polluting gases such as NO2 and CO produced by vehicular traffic show correlations of 61% and 60% respectively, which means that after 15 days of lifting the restrictive measures, the pollutants increased as well as the number of infected.

Indexed as

Air monitoring networkAir qualityCovid-19EmissionStatistical techniquesVehicular flow Type

Identifiers

PMID35018285
PMCPMC8739519
OpenAlexW3188514174

What OpenQuestion holds

Textmetadata
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.