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The Detection of Clusters in Rare Diseases
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Investigations of excess environmental risks around putative sources: Statistical problems and a proposed test
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INVESTIGATION OF LEUKAEMIA CLUSTERS BY USE OF A GEOGRAPHICAL ANALYSIS MACHINE
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Incidence of malignant disease in childhood: a 24-year review of the Manchester Children's Tumour Registry data
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The Interpretation of Statistical Maps
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The Epidemiology of Childhood Leukaemia
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inferred← citeshttps://doi.org/10.1007/s10109-005-0154-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10110-003-0190-yopenalex-snapshot
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Alveolar echinococcosis in Germany, 1992–2016. An update based on the newly established national AE database
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Colocations of spatial clusters among different industries
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Viruses, clusters and clustering of childhood leukaemia: a new perspective?
inferred← citeshttps://doi.org/10.1016/b978-0-12-397037-4.00008-9openalex-snapshot
An Approach to Optimize Police Patrol Activities Based on the Spatial Pattern of Crime Hotspots
inferred← citeshttps://doi.org/10.1016/b978-0-444-52272-6.00636-xopenalex-snapshot
Spatial Mapping and Environmental Risk Identification
inferred← citeshttps://doi.org/10.1016/b978-012369378-5/50018-1openalex-snapshot
Methods for Detecting Spatial and Spatio-Temporal Clusters
inferred← citeshttps://doi.org/10.1016/j.aap.2004.06.002openalex-snapshot
Spatial analysis of alcohol-related motor vehicle crash injuries in southeastern Michigan
inferred← citeshttps://doi.org/10.1016/j.actatropica.2008.04.027openalex-snapshot
Identifying high-risk regions for schistosomiasis in Guichi, China: A spatial analysis
inferred← citeshttps://doi.org/10.1016/j.apgeog.2013.01.011openalex-snapshot
Spatial analysis of urban decline: The geography of blight
inferred← citeshttps://doi.org/10.1016/j.apgeog.2013.02.014openalex-snapshot
The spatio-temporal impacts of demolition land use policy and crime in a shrinking city
inferred← citeshttps://doi.org/10.1016/j.apgeog.2015.02.010openalex-snapshot
Developing open space networks in shrinking cities
inferred← citeshttps://doi.org/10.1016/j.apgeog.2017.12.010openalex-snapshot
Quantifying the relationship between social capital and economic conditions in Appalachia
inferred← citeshttps://doi.org/10.1016/j.canep.2020.101873openalex-snapshot
Statistical methods for spatial cluster detection in childhood cancer incidence: A simulation study
inferred← citeshttps://doi.org/10.1016/j.chiabu.2024.107203openalex-snapshot
An examination of the effect of area-level characteristics on juvenile justice and child welfare referrals using multivariate Bayesian spatial modeling
inferred← citeshttps://doi.org/10.1016/j.cie.2022.108536openalex-snapshot
Copula-based CUSUM charts for monitoring infectious disease using Markovian Poisson processes
inferred← citeshttps://doi.org/10.1016/j.cmpb.2006.07.008openalex-snapshot
SPATCLUS: An R package for arbitrarily shaped multiple spatial cluster detection for case event data
inferred← citeshttps://doi.org/10.1016/j.compenvurbsys.2003.07.002openalex-snapshot
Comparing spatial clustering tests based on rare to common spatial events
inferred← citeshttps://doi.org/10.1016/j.compenvurbsys.2015.03.005openalex-snapshot
Weighted network Voronoi Diagrams for local spatial analysis
inferred← citeshttps://doi.org/10.1016/j.compenvurbsys.2020.101500openalex-snapshot
A network-based scan statistic for detecting the exact location and extent of hotspots along urban streets
inferred← citeshttps://doi.org/10.1016/j.csda.2006.03.011openalex-snapshot
Arbitrarily shaped multiple spatial cluster detection for case event data
inferred← citeshttps://doi.org/10.1016/j.csda.2006.07.002openalex-snapshot
Detecting local regions of change in high-dimensional criminal or terrorist point processes
inferred← citeshttps://doi.org/10.1016/j.csda.2011.08.001openalex-snapshot
ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization
inferred← citeshttps://doi.org/10.1016/j.csda.2011.11.001openalex-snapshot
Constrained spanning tree algorithms for irregularly-shaped spatial clustering
inferred← citeshttps://doi.org/10.1016/j.csda.2015.03.008openalex-snapshot
An adaptive minimum spanning tree test for detecting irregularly-shaped spatial clusters
inferred← citeshttps://doi.org/10.1016/j.csda.2015.09.010openalex-snapshot
On Moran’s I coefficient under heterogeneity
inferred← citeshttps://doi.org/10.1016/j.csda.2021.107185openalex-snapshot
Confidence intervals for spatial scan statistic
inferred← citeshttps://doi.org/10.1016/j.dib.2020.106683openalex-snapshot
Methods of spatial cluster detection in rare childhood cancers: Benchmarking data and results from a simulation study on nephroblastoma
inferred← citeshttps://doi.org/10.1016/j.dss.2004.06.007openalex-snapshot
Spatial analysis with preference specification of latent decision makers for criminal event prediction
inferred← citeshttps://doi.org/10.1016/j.envsoft.2015.05.016openalex-snapshot
Space-time clustering analysis performance of an aggregated dataset: The case of wildfires in Portugal
inferred← citeshttps://doi.org/10.1016/j.healthplace.2005.11.003openalex-snapshot
Effects of randomization methods on statistical inference in disease cluster detection
inferred← citeshttps://doi.org/10.1016/j.healthplace.2009.09.012openalex-snapshot
Female breast cancer mortality clusters within racial groups in the United States
inferred← citeshttps://doi.org/10.1016/j.healthplace.2010.01.009openalex-snapshot
Spatial clustering and the temporal mobility of walking school trips in the Greater Toronto Area, Canada
inferred← citeshttps://doi.org/10.1016/j.healthplace.2012.01.007openalex-snapshot
Understanding the non-stationary associations between distrust of the health care system, health conditions, and self-rated health in the elderly: A geographically weighted regression approach
inferred← citeshttps://doi.org/10.1016/j.ins.2018.02.029openalex-snapshot
Extended Fuzzy C-Means hotspot detection method for large and very large event datasets
inferred← citeshttps://doi.org/10.1016/j.jag.2012.04.005openalex-snapshot
On the difficulty to delimit disease risk hot spots
inferred← citeshttps://doi.org/10.1016/j.jbi.2004.11.007openalex-snapshot
Algorithms for rapid outbreak detection: a research synthesis
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2006.08.005openalex-snapshot
A GIS-based Bayesian approach for analyzing spatial–temporal patterns of intra-city motor vehicle crashes
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2013.05.009openalex-snapshot
Detecting traffic accident clusters with network kernel density estimation and local spatial statistics: an integrated approach
inferred← citeshttps://doi.org/10.1016/j.phrp.2015.01.004openalex-snapshot
Gastric and Esophageal Cancers Incidence Mapping in Golestan Province, Iran: Using Bayesian–Gibbs Sampling
inferred← citeshttps://doi.org/10.1016/j.prevetmed.2005.07.003openalex-snapshot
Exploratory spatial relative risk mapping
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