ArticleInternational journal of health geographics2009
A scan statistic for continuous data based on the normal probability model.
Article in International journal of health geographics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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Who cites it
75 citing papers in PubMed.
- A Persistent Hotspot of Schistosoma mansoni Infection in a Five-Year Randomized Trial of Praziquantel Preventative Chemotherapy Strategies.The Journal of infectious diseases · 2017Trial
- Adaptive Fisher's method using weakly geometric grid for combiningJournal of the Royal Statistical Society. Series C, Applied statistics · 2026Article
- Geospatial analysis of preterm and small-for-gestational age births in Washington D.C.BMC pregnancy and childbirth · 2025Article
- From Patterns to Projections: A Spatiotemporal Distribution of Drug-Resistant Tuberculosis in Paraná, Brazil (2012-2023).Pathogens (Basel, Switzerland) · 2025Article
- Clustering and risk factor analysis of pulmonary tuberculosis in a district in Ethiopia: a population-based cohort study.BMJ open · 2025Article
- The use of SatScan software to map spatiotemporal trends and detect disease clusters: a systematic review.Communications medicine · 2025Article
- Mapping gentrification, segregation, rental cost burden and sexually transmitted infections in Atlanta, Georgia, 2005-2018.Spatial and spatio-temporal epidemiology · 2024Article
- A Shared-Frailty Spatial Scan Statistic Model for Time-to-Event Data.Biometrical journal. Biometrische Zeitschrift · 2024Article
- A Hypothesis Test for Detecting Spatial Patterns in Categorical Areal Data.Spatial statistics · 2024Article
- An exploratory study on spatiotemporal clustering of suicide in Korean adolescents.Child and adolescent psychiatry and mental health · 2024Article
- A Bayesian Spatial Scan Statistic for Multinomial Data.Statistics & probability letters · 2024Article
- Patterns of animal rabies in the Nizhny Novgorod region of Russia (2012-2022): the analysis of risk factors.Frontiers in veterinary science · 2024Article
- Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic.International journal of health geographics · 2023Article
- Spatiotemporal Patterns of African Swine Fever in Wild Boar in the Russian Federation (2007-2022): Using Clustering Tools for Revealing High-Risk Areas.Animals : an open access journal from MDPI · 2023Article
- Spatial-temporal analysis of pulmonary tuberculosis in Hubei Province, China, 2011-2021.PloS one · 2023Article
- Utilizing Residential History to Examine Heterogeneous Exposure Trajectories: A Latent Class Mixed Modeling Approach Applied to Mesothelioma Patients.Journal of registry management · 2023Article
- Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition.Journal of applied statistics · 2023Article
- Harnessing heterogeneity in space with statistically guided meta-learning.Knowledge and information systems · 2023Article
- Comparative Study of Approaches for Detecting Crime Hotspots with Considering Concentration and Shape Characteristics.International journal of environmental research and public health · 2022Article
- Geographical distribution and space-time clustering of human illnesses with majorEpidemiology and infection · 2022Article
15 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
Abstract
Temporal, spatial and space-time scan statistics are commonly used to detect and evaluate the statistical significance of temporal and/or geographical disease clusters, without any prior assumptions on the location, time period or size of those clusters. Scan statistics are mostly used for count data, such as disease incidence or mortality. Sometimes there is an interest in looking for clusters with respect to a continuous variable, such as lead levels in children or low birth weight. For such continuous data, we present a scan statistic where the likelihood is calculated using the the normal probability model. It may also be used for other distributions, while still maintaining the correct alpha level. In an application of the new method, we look for geographical clusters of low birth weight in New York City.
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