ArticleSpatial and spatio-temporal epidemiology2010
Geographic boundary analysis in spatial and spatio-temporal epidemiology: perspective and prospects.
Article in Spatial and spatio-temporal epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
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Who cites it
4 citing papers in PubMed.
- Assessing spatial disparities: a Bayesian linear regression approach.Biostatistics (Oxford, England) · 2025Article
- Article
- Analysis of geographical disparities in temporal trends of health outcomes using space-time joinpoint regression.International journal of applied earth observation and geoinformation : ITC journal · 2013Article
- Highly pathogenic H5N1 avian influenza viruses exhibit few barriers to gene flow in Vietnam.EcoHealth · 2012Article
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Authors and funding
1 author.
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Abstract
Geographic boundary analysis is a relatively new approach that is just beginning to be applied in spatial and spatio-temporal epidemiology to quantify spatial variation in health outcomes, predictors and correlates; generate and test epidemiologic hypotheses; to evaluate health-environment relationships; and to guide sampling design. Geographic boundaries are zones of rapid change in the value of a spatially distributed variable, and mathematically may be defined as those locations with a large second derivative of the spatial response surface. Here we introduce a pattern analysis framework based on Value, Change and Association questions, and boundary analysis is shown to fit logically into Change and Association paradigms. This article addresses fundamental questions regarding what boundary analysis can tell us in public health and epidemiology. It explains why boundaries are of interest, illustrates analysis approaches and limitations, and concludes with prospects and future research directions.
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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.