ArticleJournal of exposure science & environmental epidemiology2018
Considering spatial heterogeneity in the distributed lag non-linear model when analyzing spatiotemporal data.
Article in Journal of exposure science & environmental epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Spatiotemporal lag effects of surface water quality on liver cirrhosis mortality risk in China: a nine-year time-series study of environmental driving mechanism.BMC public health · 2026Article
- Associations Between Environmental Conditions and Infection With Respiratory Syncytial Virus in Japan: A Spatiotemporal Analysis.Open forum infectious diseases · 2025Article
- Flexible Distributed Lag Models for Count Data Using mgcv.The American statistician · 2025Article
- Study on the impact of air pollutants on childhood asthma in Nanjing based on a distributed lag non-linear model.Frontiers in public health · 2025Article
- Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs.Scientific reports · 2024Article
- Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis.BMC pulmonary medicine · 2022Article
- The Effects of Ambient Temperature on Lumbar Disc Herniation: A Retrospective Study.Frontiers in medicine · 2022Article
- Epidemiological characteristics and spatiotemporal analysis of hand-foot-mouth diseases from 2010 to 2019 in Zibo city, Shandong, China.BMC public health · 2021Article
- Association between air pollutants and outpatient and emergency hospital visits for childhood asthma in Shenyang city of China.International journal of biometeorology · 2020Article
- Lagged Influence of Fine Particulate Matter and Geographic Disparities on Clinic Visits for Children's Asthma in Taiwan.International journal of environmental research and public health · 2018Article
- Surveillance on the endemic of Zika virus infection by meteorological factors in Colombia: a population-based spatial and temporal study.BMC infectious diseases · 2018Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The distributed lag non-linear (DLNM) model has been frequently used in time series environmental health research. However, its functionality for assessing spatial heterogeneity is still restricted, especially in analyzing spatiotemporal data. This study proposed a solution to take a spatial function into account in the DLNM, and compared the influence with and without considering spatial heterogeneity in a case study. This research applied the DLNM to investigate non-linear lag effect up to 7 days in a case study about the spatiotemporal impact of fine particulate matter (PM
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