Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster

DOI10.1007/s00180-014-0541-yzbMath1317.65045OpenAlexW2014025328MaRDI QIDQ2354738

Thais Paiva, Taynãna Simões, Renato M. Assunção

Publication date: 24 July 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-014-0541-y

zbMATH Keywords

spatial statisticspoint patterndisease mappinglocal Knox score

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Space-time border analysis to evaluate and detect clusters ⋮ \textit{MAD-STEC}: a method for multiple automatic detection of space-time emerging clusters

Uses Software

• Surveillance
• GMRFLib

Cites Work

• Unnamed Item
• Simulation of nonhomogeneous poisson processes by thinning
• Surveillance to detect emerging space-time clusters
• Surveillance: An R package for the monitoring of infectious diseases
• The Knox Method and Other Tests for Space‐Time Interaction
• Gaussian Markov Random Fields
• Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
• Monitoring Point Patterns for the Development of Space–Time Clusters
• Monitoring Changes in Spatio-temporal Maps of Disease

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