Evidence map›Paper›PMID 41441274›Full record

ArticleToxics2025

Global Mapping of Population Exposure to Upstream Gas Flaring Using Integrated VIIRS Nightfire and GHSL Data, 2016-2023, with Projections to 2030.

Sotiris Zikas, Christos Christakis, Loukas-Moysis Misthos, Ioannis Psomadakis, Angeliki I Katsafadou, Ioannis Tsilikas, George C Fthenakis, Vasilis Vasiliou, Yiannis Kiouvrekis

Abstract read
In one paragraph

Article in Toxics, 2025. 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
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.

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

9 authors.

Sotiris ZikasMathematics, Computer Science and Artificial Intelligence Laboratory, Faculty of Public and One Health, University of Thessaly, V. Griva 13, 43100 Karditsa, Greece.ORCID 0000-0002-2524-2845
Christos ChristakisFaculty of Public and One Health, University of Thessaly, V. Griva 13, 43100 Karditsa, Greece.ORCID 0000-0001-5980-0238
Loukas-Moysis MisthosMathematics, Computer Science and Artificial Intelligence Laboratory, Faculty of Public and One Health, University of Thessaly, V. Griva 13, 43100 Karditsa, Greece.ORCID 0000-0002-3244-2546
Ioannis PsomadakisMathematics, Computer Science and Artificial Intelligence Laboratory, Faculty of Public and One Health, University of Thessaly, V. Griva 13, 43100 Karditsa, Greece.ORCID 0009-0001-6844-0649
Angeliki I KatsafadouFaculty of Public and One Health, University of Thessaly, V. Griva 13, 43100 Karditsa, Greece.ORCID 0000-0001-9533-0093
Ioannis TsilikasDepartment Applied Physics and Mathematics, National Technical University of Athens, Iroon Polytechniou 9, Zografou, 15772 Athens, Greece.ORCID 0009-0008-4649-6415
George C FthenakisVeterinary Faculty, University of Thessaly, 43100 Karditsa, Greece.
Vasilis VasiliouDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06511, USA.ORCID 0000-0003-2552-3118
Yiannis KiouvrekisMathematics, Computer Science and Artificial Intelligence Laboratory, Faculty of Public and One Health, University of Thessaly, V. Griva 13, 43100 Karditsa, Greece.ORCID 0000-0001-6805-3203

Funding

SENSORS FOR WATER CONTAMINANT DETECTION AND MONITORINGP42ES033815 · NIEHS · YALE UNIVERSITY · PI VASILIS VASILIOU · 2022 to 2026
$9.5M
NIEHS NIH HHS P42 ES033815
6 · The paper itself

Abstract

Gas flaring from upstream oil and gas production remains a significant source of air pollution and toxic emissions, with major implications for human health and climate. However, the number of people living near flaring has not been quantified globally. This study presents the first worldwide, settlement-scale assessment of populations living within 1 km and 3 km of active upstream flare sites between 2016 and 2023, with projections to 2030. Using the VIIRS Nightfire satellite product, which provides global detections of high-temperature combustion sources, and the Global Human Settlement Layer (GHSL) population and settlement data, we developed a transparent and reproducible geospatial workflow to compute proximity-based exposure indicators by buffering flare locations and intersecting them with population rasters The analysis provides consistent estimates across five settlement categories: rural, peri-urban/suburban, semi-dense urban, dense urban, and urban centres. The VIIRS-based flaring time series combined with GHSL projections allows us to estimate how many people are likely to live near upstream flares under current flaring patterns by 2030. Results show that exposure is concentrated in a few oil-producing countries. Nigeria remains the most affected, with over 100,000 urban residents exposed in 2023. India and Pakistan dominate peri-urban and semi-urban exposures, while Indonesia and Iraq persist as multi-settlement hotspots. Although moderate declines are observed in China and Iran, little progress is evident in Nigeria, Mexico, and Indonesia. Projections for 2030 suggest exposure will increase substantially, driven by population growth and urban expansion, with about 2.7 million people living within 1 km and 14.8 million within 3 km of flaring sites. The findings establish the first globally consistent baseline for population exposure to gas flaring, supporting the monitoring and mitigation objectives of the Zero Routine Flaring by 2030 initiative.

Indexed as

2030 projectionsgasflaringGHSLhealth riskpopulation exposureSMODspatial analysisupstream oil and gasurbanizationVIIRS nightfire

Identifiers

PMID41441274
PMCPMC12737142

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.