Evidence map›Paper›PMID 33805155›Full record

ArticleInternational journal of environmental research and public health2021

Comparing Methods to Impute Missing Daily Ground-Level PM

Oluwaseyi Olalekan Arowosegbe, Martin Röösli, Nino Künzli, Apolline Saucy, Temitope Christina Adebayo-Ojo, Mohamed F Jeebhay, Mohammed Aqiel Dalvie, Kees de Hoogh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Short-Term Joint Effects of PMInternational journal of environmental research and public health · 2022
    Article
  2. Spatial and Temporal Variations in PMInternational journal of environmental research and public health · 2021
    Article
  3. 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

8 authors.

Oluwaseyi Olalekan ArowosegbeDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland.ORCID 0000-0003-1637-0404
Martin RöösliDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland.ORCID 0000-0002-7475-1531
Nino KünzliDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland.
Apolline SaucyDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland.ORCID 0000-0002-6432-2098
Temitope Christina Adebayo-OjoDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland.
Mohamed F JeebhayCentre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Rondebosch, 7700 Cape Town, South Africa.ORCID 0000-0001-6656-9193
Mohammed Aqiel DalvieCentre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, Rondebosch, 7700 Cape Town, South Africa.
Kees de HooghDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland.ORCID 0000-0001-5974-2007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Good quality and completeness of ambient air quality monitoring data is central in supporting actions towards mitigating the impact of ambient air pollution. In South Africa, however, availability of continuous ground-level air pollution monitoring data is scarce and incomplete. To address this issue, we developed and compared different modeling approaches to impute missing daily average particulate matter (PM

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringParticulate MatterSouth AfricaAir PollutantsParticulate Matterair pollutionenvironmental exposureimputationparticulate matterRandom ForestSouth Africa

Identifiers

PMID33805155
PMCPMC8037804

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.