Evidence map›Paper›PMID 25350009›Full record

ArticleInternational journal of environmental research and public health2014

Spatial and temporal variations of satellite-derived multi-year particulate data of Saudi Arabia: an exploratory analysis.

Yusuf A Aina, Johannes H van der Merwe, Habib M Alshuwaikhat

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Does PM2.5 (Pollutant) Reduce Firms' Innovation Output?International journal of environmental research and public health · 2023
    Article
  3. Contamination and risk levels of metals associated with urban street dust in Riyadh, Saudi Arabia.Environmental science and pollution research international · 2020
    Article
  4. Spatio-Temporal Variations of Satellite-Based PMInternational journal of environmental research and public health · 2020
    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

3 authors at 3 institutions in 2 countries.

Yusuf A AinaDepartment of Geomatics Engineering Technology, Yanbu Industrial College, Yanbu 41912, Saudi Arabia. ainay@rcyci.edu.sa.
Johannes H van der MerweDepartment of Geography and Environmental Studies, University of Stellenbosch, Stellenbosch 7600, South Africa. jhvdm@sun.ac.za.
Habib M AlshuwaikhatDepartment of City and Regional Planning, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia. habibms@kfupm.edu.sa.
King Fahd University of Petroleum and Minerals · SAStellenbosch University · ZAYanbu University College · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of concentrations of fine particulate matter on urban populations have been gaining attention because fine particulate matter exposes the urban populace to health risks such as respiratory and cardiovascular diseases. Satellite-derived data, using aerosol optical depth (AOD), have been adopted to improve the monitoring of fine particulate matter. One of such data sources is the global multi-year PM2.5 data (2001-2010) released by the Center for International Earth Science Information Network (CIESIN). This paper explores the satellite-derived PM2.5 data of Saudi Arabia to highlight the trend of PM2.5 concentrations. It also examines the changes in PM2.5 concentrations in some urbanized areas of Saudi Arabia. Concentrations in major cities like Riyadh, Dammam, Jeddah, Makkah, Madinah and the industrial cities of Yanbu and Jubail are analyzed using cluster analysis. The health risks due to exposure of the populace are highlighted by using the World Health Organization (WHO) standard and targets. The results show a trend of increasing concentrations of PM2.5 in urban areas. Significant clusters of high values are found in the eastern and south-western part of the country. There is a need to explore this topic using images with higher spatial resolution and validate the data with ground observations to improve the analysis.

Indexed as

AerosolsAir PollutantsCitiesCluster AnalysisEnvironmental MonitoringParticle SizeParticulate MatterRemote Sensing TechnologySaudi ArabiaSpacecraftAerosolsAir PollutantsParticulate Matter

Identifiers

PMID25350009
PMCPMC4245605
OpenAlexW2121386968

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.