Evidence map›Paper›PMID 33120349›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2021

Links between air pollution and COVID-19 in England.

Marco Travaglio, Yizhou Yu, Rebeka Popovic, Liza Selley, Nuno Santos Leal, Luis Miguel Martins

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 272 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
272citing papers in PubMed, 5 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

272 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Ambient Air Pollution and COVID-19 in California.Research report (Health Effects Institute) · 2026
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212 more citing papers are in PubMed but not listed here.

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.

Marco TravaglioMRC Toxicology Unit, University of Cambridge, UK.
Yizhou YuMRC Toxicology Unit, University of Cambridge, UK.
Rebeka PopovicMRC Toxicology Unit, University of Cambridge, UK.
Liza SelleyMRC Toxicology Unit, University of Cambridge, UK.
Nuno Santos LealMRC Toxicology Unit, University of Cambridge, UK.
Luis Miguel MartinsMRC Toxicology Unit, University of Cambridge, UK. Electronic address: martins.lmiguel@gmail.com.

Funding

Medical Research Council MC_EX_MR/S300012/1Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

In December 2019, a novel disease, coronavirus disease 19 (COVID-19), emerged in Wuhan, People's Republic of China. COVID-19 is caused by a novel coronavirus (SARS-CoV-2) presumed to have jumped species from another mammal to humans. This virus has caused a rapidly spreading global pandemic. To date, over 300,000 cases of COVID-19 have been reported in England and over 40,000 patients have died. While progress has been achieved in managing this disease, the factors in addition to age that affect the severity and mortality of COVID-19 have not been clearly identified. Recent studies of COVID-19 in several countries identified links between air pollution and death rates. Here, we explored potential links between major fossil fuel-related air pollutants and SARS-CoV-2 mortality in England. We compared current SARS-CoV-2 cases and deaths from public databases to both regional and subregional air pollution data monitored at multiple sites across England. After controlling for population density, age and median income, we show positive relationships between air pollutant concentrations, particularly nitrogen oxides, and COVID-19 mortality and infectivity. Using detailed UK Biobank data, we further show that PM

Indexed as

Air PollutantsAir PollutionCOVID-19ChinaEnglandHumansParticulate MatterSARS-CoV-2Air PollutantsParticulate MatterAir pollutionCOVID-19MortalityNitrogen oxidesOzonePM(10)PM(2.5)SARS-CoV-2

Identifiers

PMID33120349
PMCPMC7571423

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.