ArticleGeospatial health2014
When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilization.
Article in Geospatial health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Geospatial Analysis of Tooth Loss Among the US Geriatric Population by Zip Code: The Role of Socioeconomic and Racial Factors.Journal of racial and ethnic health disparities · 2026Article
- Geographically weighted regression analysis for nonnegative continuous outcomes: An application to Taiwan dengue data.PloS one · 2024Article
- Older Adult Mortality From COVID-19: Food Access as a Determinant Within a Socio-ecological Framework.The Gerontologist · 2022Article
- Spatiotemporal Analysis for COVID-19 Delta Variant Using GIS-Based Air Parameter and Spatial Modeling.International journal of environmental research and public health · 2022Article
- Evaluating spatial accessibility to COVID-19 vaccine resources in diversely populated counties in the United States.Frontiers in public health · 2022Article
- Article
- Association of Travel Distance to Nearest Abortion Facility With Rates of Abortion.JAMA network open · 2021Article
- Exploring heterogeneities with geographically weighted quantile regression: An enhancement based on the bootstrap approach.Geographical analysis · 2020Article
- Global and Geographically Weighted Quantile Regression for Modeling the Incident Rate of Children's Lead Poisoning in Syracuse, NY, USA.International journal of environmental research and public health · 2018Article
- Improving the Accuracy of Urban Environmental Quality Assessment Using Geographically-Weighted Regression Techniques.Sensors (Basel, Switzerland) · 2017Article
- A scoping review of geographic information systems in maternal health.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2016Article
- GEOGRAPHICALLY-WEIGHTED REGRESSION ANALYSIS OF PERCENTAGE OF LATE-STAGE PROSTATE CANCER DIAGNOSIS IN FLORIDA.Applied geography (Sevenoaks, England) · 2015Article
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3 authors.
Funding
Abstract
Using geographically weighted regression (GWR), a recent study by Shoff and colleagues (2012) investigated the place-specific risk factors for prenatal care utilisation in the United States of America (USA) and found that most of the relationships between late or no prenatal care and its determinants are spatially heterogeneous. However, the GWR approach may be subject to the confounding effect of spatial homogeneity. The goal of this study was to address this concern by including both spatial homogeneity and heterogeneity into the analysis. Specifically, we employed an analytic framework where a spatially lagged (SL) effect of the dependent variable is incorporated into the GWR model, which is called GWR-SL. Using this framework, we found evidence to argue that spatial homogeneity is neglected in the study by Shoff et al. (2012) and that the results change after considering the SL effect of prenatal care utilisation. The GWR-SL approach allowed us to gain a placespecific understanding of prenatal care utilisation in USA counties. In addition, we compared the GWR-SL results with the results of conventional approaches (i.e., ordinary least squares and spatial lag models) and found that GWR-SL is the preferred modelling approach. The new findings help us to better estimate how the predictors are associated with prenatal care utilisation across space, and determine whether and how the level of prenatal care utilisation in neighbouring counties matters.
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