Evidence map›Paper›PMID 38045962›Full record

ReviewFrontiers in public health2023

Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health.

Yuxuan Tian, Mengshan Duan, Xiangfen Cui, Qun Zhao, Senlin Tian, Yichao Lin, Weicen Wang

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Built environment and childhood obesity.World journal of clinical pediatrics · 2024
    Review
  6. Introducing the concept of digitally smart health facilities: a vision for the future.Revista panamericana de salud publica = Pan American journal of public health · 2024
    Article
  7. 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

7 authors.

Yuxuan TianFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China.
Mengshan DuanFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China.
Xiangfen CuiFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China.
Qun ZhaoFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China.
Senlin TianFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China.
Yichao LinGuizhou Research Institute of Coal Mine Design Co., Ltd., Guiyang, China.
Weicen WangChina Academy of Urban Planning Design, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The intricate interplay between human well-being and the surrounding environment underscores contemporary discourse. Within this paradigm, comprehensive environmental monitoring holds the key to unraveling the intricate connections linking population health to environmental exposures. The advent of satellite remote sensing monitoring (SRSM) has revolutionized traditional monitoring constraints, particularly limited spatial coverage and resolution. This innovation finds profound utility in quantifying land covers and air pollution data, casting new light on epidemiological and geographical investigations. This dynamic application reveals the intricate web connecting public health, environmental pollution, and the built environment. Objective: This comprehensive review navigates the evolving trajectory of SRSM technology, casting light on its role in addressing environmental and geographic health issues. The discussion hones in on how SRSM has recently magnified our understanding of the relationship between air pollutant exposure and population health. Additionally, this discourse delves into public health challenges stemming from shifts in urban morphology. Methods: Utilizing the strategic keywords "SRSM," "air pollutant health risk," and "built environment," an exhaustive search unfolded across prestigious databases including the China National Knowledge Network (CNKI), PubMed and Web of Science. The Citespace tool further unveiled interconnections among resultant articles and research trends. Results: Synthesizing insights from a myriad of articles spanning 1988 to 2023, our findings unveil how SRMS bridges gaps in ground-based monitoring through continuous spatial observations, empowering global air quality surveillance. High-resolution SRSM advances data precision, capturing multiple built environment impact factors. Its application to epidemiological health exposure holds promise as a pioneering tool for contemporary health research. Conclusion: This review underscores SRSM's pivotal role in enriching geographic health studies, particularly in atmospheric pollution domains. The study illuminates how SRSM overcomes spatial resolution and data loss hurdles, enriching environmental monitoring tools and datasets. The path forward envisions the integration of cutting-edge remote sensing technologies, novel explorations of urban-public health associations, and an enriched assessment of built environment characteristics on public well-being.

Indexed as

Air PollutantsAir PollutionBuilt EnvironmentEnvironmental ExposureHumansRemote Sensing TechnologyAir Pollutantsatmospheric exposure sciencebuilt environmentgeographical healthland-cover monitoringpublic healthsatellite remote sensing monitoring

Identifiers

PMID38045962
PMCPMC10690611

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.