Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster
type: Item
instance of: scholarly article
title: Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster
zbMATH Open document ID: 1317.65045
author: Thais Paiva
author: Taynãna Simões
author: Renato Martins Assunção
published in: Computational Statistics
publication date: 2015-07-24T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6464075
zbMATH Keywords: spatial statistics
zbMATH Keywords: disease mapping
zbMATH Keywords: point pattern
zbMATH Keywords: local Knox score
describes a project that uses: GMRFLib
describes a project that uses: Surveillance
MaRDI profile type: Publication
full work available at URL: s00180-014-0541-y
OpenAlex ID: W2014025328
cites work: Surveillance to detect emerging space-time clusters
cites work: Surveillance: An R package for the monitoring of infectious diseases
cites work: The Knox Method and Other Tests for Space‐Time Interaction
cites work: Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
cites work: Simulation of nonhomogeneous poisson processes by thinning
cites work: Q4864754
cites work: Monitoring Changes in Spatio-temporal Maps of Disease
cites work: Monitoring Point Patterns for the Development of Space–Time Clusters
cites work: Gaussian Markov Random Fields
DOI: 10.1007/S00180-014-0541-Y
description: scientific article