ArticleEnvironmental epidemiology (Philadelphia, Pa.)2020
Building capacity for air pollution epidemiology in India.
Article in Environmental epidemiology (Philadelphia, Pa.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Article
- Longitudinal associations between ambient PMEnvironmental epidemiology (Philadelphia, Pa.) · 2024Article
- PMBMJ open diabetes research & care · 2023Article
- A pruned feed-forward neural network (pruned-FNN) approach to measure air pollution exposure.Environmental monitoring and assessment · 2023Article
- Impact of Circular, Waste-Heat Reuse Pathways on PMEnvironmental science & technology · 2022Article
- Erratum: Building capacity for air pollution epidemiology in India: Erratum.Environmental epidemiology (Philadelphia, Pa.) · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
15 authors.
Funding
Abstract
Air pollution represents a major public health threat in India affecting 19% of the world's population at extreme levels. Despite this, research in India lags behind in large part due to a lack of comprehensive air pollution exposure assessment that can be used in conjunction with health data to investigate health effects. Our vision is to provide a consortium to rapidly expand the evidence base of the multiple effects of ambient air pollution. We intend to leapfrog current limitations of exposure assessment by developing a machine-learned satellite-informed spatiotemporal model to estimate daily levels of ambient fine particulate matter measuring less than 2.5 µm (PM
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What OpenQuestion holds
Registered trials
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.