Evidence map›Paper›PMID 32834965›Full record

ArticleUrban climate2020

NO

Henry Pacheco, Stephanie Díaz-López, Emilio Jarre, Henyerlin Pacheco, Williams Méndez, Ezequiel Zamora-Ledezma

Abstract read
In one paragraph

Article in Urban climate, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The impact of lockdown on nitrogen dioxide (NOEnvironmental science and pollution research international · 2022
    Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. The COVID-19 pandemic and its impact on environment: the case of the major cities in Pakistan.Environmental science and pollution research international · 2021
    Article
  14. Review
  15. Article
  16. Global, continental, and national variation in PMAtmospheric pollution research · 2021
    Article
  17. Article
  18. Article
  19. Review
  20. Review
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.

Henry PachecoFacultad de Ingeniería Agrícola, Universidad Técnica de Manabí, Lodana 13132, Manabí, Ecuador.
Stephanie Díaz-LópezCentro de Ciencias Atmosféricas y Biogeoquímica, Instituto Venezolano de Investigaciones Científicas, Altos de Pipe 1020-A, Miranda, Venezuela.
Emilio JarreFacultad de Ingeniería Agrícola, Universidad Técnica de Manabí, Lodana 13132, Manabí, Ecuador.
Henyerlin PachecoEscuela de Medicina, Universidad Técnica de Manabí, Portoviejo 130105, Manabí, Ecuador.
Williams MéndezDepartamento de Construcciones Civiles, Universidad Técnica de Manabí, Portoviejo 130105, Manabí, Ecuador.
Ezequiel Zamora-LedezmaFacultad de Ingeniería Agrícola, Universidad Técnica de Manabí, Lodana 13132, Manabí, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The negative effects on human health, along with the fatalities caused by the new coronavirus, have led governments worldwide to take strict measures. However, a reduction in air pollution has been found in many regions on a global scale. This study is focused on how the COVID-19 pandemic is impacting on the air quality in Ecuador, one of the most alarming cases of COVID-19 contagion in Latin America, occupying the first place as regards deaths per capita. The spatio-temporal variations in NO

Indexed as

Air qualityCoronavirus diseaseHighly populated citiesHuman healthNitrogen dioxidePandemic

Identifiers

PMID32834965
PMCPMC7392595

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.