ReviewGeoHealth2025
Broad Applications of Distributed Lag Non-Linear Model in Public Health: A Comprehensive Review.
Review in GeoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.
- The Impact of Seasonal and Meteorological Factors on Microorganisms Present in Knee Joint Effusions Among Patients with Rheumatoid Arthritis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Relative humidity, precipitation, and outpatient visits for clinically diagnosed fungal otitis externa: evidence from a single-center time-series study in Wuxi, eastern China.Frontiers in public health · 2026Article
- Article
- Ambient temperature as a proxy indicator for carbon monoxide poisoning risk: deriving exploratory reference points for public health monitoring in Chengdu, China.Frontiers in public health · 2026Article
- From adaptation to overload: how climate risks affect public health?-evidence from China.Frontiers in public health · 2026Article
- Broad Applications of Distributed Lag Non-Linear Model in Public Health: A Comprehensive Review.GeoHealth · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study reviews the use of the distributed lag non-linear model (DLNM) in public health research, focusing on environmental-exposure, health-outcome relationships, and providing recommendations for future studies. Embase, PubMed, Web of Science, and Scopus databases were searched for literature published from January 2020 to November 2024 using the DLNM to analyze the environmental exposures and health outcomes. After screening, removing duplicates, and reviewing full-text articles, eligible studies were assessed using the DLNM to examine the health effects related to environmental exposure, particularly temperature and other environmental factors. From 2,847 studies, 274 studies from 36 countries were selected for analysis, primarily from China (164), Europe (28), and North America (23). There were 174 exclusive climate data sources, no standardized heat thresholds, and 131 unique sources of air pollutant data. Among the 53 adverse health outcomes identified using the DLNM, morbidity was the most prevalent (
Indexed as
Identifiers
What Socratic 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 Socratic graph.