ReviewAnnual review of public health2019
Causal Modeling in Environmental Health.
Review in Annual review of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled 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.
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
39 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Estimating the Impact of Air Pollution on Healthcare-Seeking Behaviour by Applying a Difference-in-Differences Method to Syndromic Surveillance Data.International journal of environmental research and public health · 2022Pooled it
- Prenatal exposure to persistent organic pollutants and childhood obesity: A systematic review and meta-analysis of human studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Pooled it
- Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects.Current environmental health reports · 2026Review
- The potential effects of hypothetical PM2.5 interventions on childhood autism in different neighborhood socioeconomic contexts.American journal of epidemiology · 2026Article
- Wildfire smoke PMScience advances · 2026Article
- Cleaning and validating longitudinal maternal and child postcode histories from a national healthcare registry for environmental health research in London, UK.International journal of population data science · 2026Article
- Integrating causal inference and machine learning to quantify climate-malaria relationships: Evidence of temperature and rainfall thresholds from Colombian municipalities.PLOS global public health · 2026Article
- Artificial Intelligence in Environment and Human Health: Progress, Opportunities and Challenges.Current environmental health reports · 2025Review
- Estimating the causal effects of exposure mixtures: a generalized propensity score method.BMC medical research methodology · 2025Article
- Confounding mechanisms and adjustment strategies in air pollution epidemiology: a case study assessment with the UK Biobank cohort.International journal of epidemiology · 2025Article
- Diabetes is causally associated with increased breast cancer mortality by inducing FIBCD1 to activate MCM5-mediated cell cycle arrest via modulating H3K27ac.Cell death & disease · 2025Article
- Independent and combined effects of long-term air pollution exposure and genetic predisposition on COVID-19 severity: A population-based cohort study.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- Associations Between Sleep Duration, Sleep Quality, and Depressive Symptoms: Evidence from Medical Graduate Students in China.Nature and science of sleep · 2025Article
- AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes.Frontiers in digital health · 2025Article
- Assessing Adverse Health Effects of Long-Term Exposure to Low Levels of Ambient Air Pollution: The HEI Experience and What's Next?Environmental science & technology · 2024Review
- Assessing long-term effects of gaseous air pollution exposure on mortality in the United States using a variant of difference-in-differences analysis.Scientific reports · 2024Article
- Long-term particulate matter exposure and the risk of neurological hospitalization: Evidence from causal inference of a large longitudinal cohort in South China.Chemosphere · 2023Article
- Generalized propensity score approach to causal inference with spatial interference.Biometrics · 2023Article
- Association Between State-Level Access to Reproductive Care and Suicide Rates Among Women of Reproductive Age in the United States.JAMA psychiatry · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The field of environmental health has been dominated by modeling associations, especially by regressing an observed outcome on a linear or nonlinear function of observed covariates. Readers interested in advances in policies for improving environmental health are, however, expecting to be informed about health effects resulting from, or more explicitly caused by, environmental exposures. The quantification of health impacts resulting from the removal of environmental exposures involves causal statements. Therefore, when possible, causal inference frameworks should be considered for analyzing the effects of environmental exposures on health outcomes.
Indexed as
Identifiers
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.