Geospatial Modeling Methods in Epidemiological Kidney Research: An Overview and Practical Example

Buchalter, R. Blake; Mohan, Sumit; Schold, Jesse D.

doi:10.1016/j.ekir.2024.01.017

Cited by 2 publications

(2 citation statements)

References 67 publications

(81 reference statements)

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“…In conclusion, ESKD represents a significant public health challenge in the US, with profound implications for individuals, families, and society [3,7]. Spatial disparities in kidney transplant wait-listing further exacerbate the inequities in access to transplantation, perpetuating disparities in health outcomes.…”

Section: Discussionmentioning

confidence: 99%

“…Understanding Socioeconomic Factors: Spatial analysis allows for the exploration of the relationship between ESKD prevalence and socioeconomic factors such as income, education level, and access to healthcare [6,7]. By analyzing spatial patterns, researchers can uncover disparities that may be influenced by socioeconomic factors, thereby highlighting areas where interventions are needed to improve access to transplantation services.…”

Section: Introductionmentioning

confidence: 99%

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A Spatial Gaussian-Process Boosting Analysis of Socioeconomic Disparities in Wait-Listing of End-Stage Kidney Disease Patients across the United States

Chakraborty,

Dey,

Xiang

et al. 2024

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In this study, we employed a novel approach of combining Gaussian processes (GPs) with boosting techniques to model the spatial variability inherent in End-Stage Kidney Disease (ESKD) data. Our use of the Gaussian processes boosting, or GPBoost, methodology underscores the efficacy of this hybrid method in capturing intricate spatial dynamics and enhancing predictive accuracy. Specifically, our analysis demonstrates a notable improvement in out-of-sample prediction accuracy regarding the percentage of the population remaining on the wait list within geographic regions. Furthermore, our investigation unveils race and gender-based factors that significantly influence patient wait-listing. By leveraging the GPBoost approach, we identify these pertinent factors, shedding light on the complex interplay between demographic variables and access to kidney transplantation services. Our findings underscore the imperative for a multifaceted strategy aimed at reducing spatial disparities in kidney transplant wait-listing. Key components of such an approach include mitigating gender disparities, bolstering access to healthcare services, fostering greater awareness of transplantation options, and dismantling structural barriers to care. By addressing these multifactorial challenges, we can strive towards a more equitable and inclusive landscape in kidney transplantation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%