Review of methods for space–time disease surveillance
暂无分享,去创建一个
[1] Pike Mc,et al. Case-control approach to examine diseases for evidence of contagion, including diseases with long latent periods. , 1974 .
[2] Andrew B Lawson,et al. Monitoring Changes in Spatio‐temporal Maps of Disease , 2006, Biometrical journal. Biometrische Zeitschrift.
[3] T. Tango,et al. International Journal of Health Geographics a Flexibly Shaped Spatial Scan Statistic for Detecting Clusters , 2005 .
[4] M Kulldorff,et al. Spatial disease clusters: detection and inference. , 1995, Statistics in medicine.
[5] M. Kulldorff,et al. A Space–Time Permutation Scan Statistic for Disease Outbreak Detection , 2005, PLoS medicine.
[6] M. Kulldor,et al. Prospective time-periodic geographical disease surveillance using a scan statistic , 2001 .
[7] Allyson M. Abrams,et al. A model-adjusted space–time scan statistic with an application to syndromic surveillance , 2005, Epidemiology and Infection.
[8] Aravind Srinivasan,et al. Modelling disease outbreaks in realistic urban social networks , 2004, Nature.
[9] E. Järpe. Surveillance of the interaction parameter of the ising model , 1999 .
[10] G. P. Patil,et al. Upper level set scan statistic for detecting arbitrarily shaped hotspots , 2004, Environmental and Ecological Statistics.
[11] David Bock,et al. A review and discussion of prospective statistical surveillance in public health , 2003 .
[12] L. Fearnley. Signals Come and Go: Syndromic Surveillance and Styles of Biosecurity , 2008 .
[13] S. Blount,et al. Lead Visual Information Specialist , 2003 .
[14] Sylvia Richardson,et al. Use of Space–Time Models to Investigate the Stability of Patterns of Disease , 2008, Environmental health perspectives.
[15] U. Kitron,et al. Spatial analysis of the distribution of tsetse flies in the Lambwe Valley, Kenya, using Landsat TM satellite imagery and GIS , 1996 .
[16] Weng-Keen Wong,et al. CHAPTER 14 – Classical Time-Series Methods for Biosurveillance , 2006 .
[17] N. Best,et al. Bayesian latent variable modelling of multivariate spatio-temporal variation in cancer mortality , 2008, Statistical methods in medical research.
[18] David W. Williams,et al. SPATIAL SYNCHRONY IN FOREST INSECT OUTBREAKS: ROLES OF REGIONAL STOCHASTICITY AND DISPERSAL , 2002 .
[19] Peter J. Diggle,et al. Point process methodology for on‐line spatio‐temporal disease surveillance , 2005 .
[20] Torsten Hägerstrand,et al. Innovation Diffusion As a Spatial Process , 1967 .
[21] Wenguang Sun,et al. Large‐scale multiple testing under dependence , 2009 .
[22] Martin Kulldorff,et al. A Space-Time Permutation Scan Statistic for the Early Detection of Disease Outbreaks , 2009 .
[23] Bert Veenendaal,et al. Disease surveillance using a hidden Markov model , 2009, BMC Medical Informatics Decis. Mak..
[24] David M. Hartley,et al. Syndromic Surveillance and Bioterrorism-related Epidemics , 2003, Emerging infectious diseases.
[25] David Madigan,et al. Bayesian Data Mining for Health Surveillance , 2005 .
[26] E G Knox,et al. The Detection of Space‐Time Interactions , 1964 .
[27] S. Hay,et al. Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data. , 1996, Annals of tropical medicine and parasitology.
[28] W. Woodall,et al. Multivariate CUSUM Quality- Control Procedures , 1985 .
[29] D. Blazes,et al. Statistical analyses in disease surveillance systems , 2008, BMC proceedings.
[30] Andrew W. Moore,et al. Algorithms for rapid outbreak detection: a research synthesis , 2005, J. Biomed. Informatics.
[31] L. Anselin. Local Indicators of Spatial Association—LISA , 2010 .
[32] D. Siegmund. Sequential Analysis: Tests and Confidence Intervals , 1985 .
[33] A. Schærström. Apparent and actual disease landscapes. Some reflections on the geographical definition of health and disease , 1999 .
[34] P. Goovaerts,et al. Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York , 2004, International journal of health geographics.
[35] Julian Besag,et al. The Detection of Clusters in Rare Diseases , 1991 .
[36] Andrew B. Lawson,et al. Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology , 2008 .
[37] Toshiro Tango,et al. International Journal of Health Geographics a Flexibly Shaped Space-time Scan Statistic for Disease Outbreak Detection and Monitoring , 2022 .
[38] Peter A Rogerson,et al. Monitoring change in spatial patterns of disease: comparing univariate and multivariate cumulative sum approaches , 2004, Statistics in medicine.
[39] Michael Greger,et al. The Human/Animal Interface: Emergence and Resurgence of Zoonotic Infectious Diseases , 2007, Critical reviews in microbiology.
[40] Andrew B Lawson,et al. Statistical Methods in Medical Research , 2006 .
[41] Jared Aldstadt,et al. An incremental Knox test for the determination of the serial interval between successive cases of an infectious disease , 2007 .
[42] Andrew B. Lawson,et al. Spatial and syndromic surveillance for public health , 2005 .
[43] María Dolores Ugarte,et al. Spatio‐temporal modeling of mortality risks using penalized splines , 2009 .
[44] William B. Lober,et al. Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience , 2003, J. Am. Medical Informatics Assoc..
[45] Leonhard Held,et al. A statistical framework for the analysis of multivariate infectious disease surveillance counts , 2005 .
[46] Jürgen Symanzik,et al. Statistical Analysis of Spatial Point Patterns , 2005, Technometrics.
[47] Daniel M Sosin,et al. Evaluation challenges for syndromic surveillance--making incremental progress. , 2004, MMWR supplements.
[48] P A Rogerson,et al. Surveillance systems for monitoring the development of spatial patterns. , 1997, Statistics in medicine.
[49] M. Fortin,et al. Spatial pattern and ecological analysis , 1989, Vegetatio.
[50] J. Bithell. An application of density estimation to geographical epidemiology. , 1990, Statistics in medicine.
[51] Ken Kleinman,et al. Generalized Linear Models and Generalized Linear Mixed Models for Small‐Area Surveillance , 2005 .
[52] Colleen A Bradley,et al. BioSense: implementation of a National Early Event Detection and Situational Awareness System. , 2005, MMWR supplements.
[53] Sylvia Richardson,et al. A comparison of Bayesian spatial models for disease mapping , 2005, Statistical methods in medical research.
[54] K. Moore,et al. Visualization techniques and graphical user interfaces in syndromic surveillance systems. Summary from the Disease Surveillance Workshop, Sept. 11–12, 2007; Bangkok, Thailand , 2008, BMC proceedings.
[55] Ying C MacNab,et al. A Bayesian hierarchical model for accident and injury surveillance. , 2003, Accident; analysis and prevention.
[56] Geoffrey M Jacquez,et al. In search of induction and latency periods: space-time interaction accounting for residential mobility, risk factors and covariates. , 2007, International journal of health geographics.
[57] Peter A. Rogerson,et al. Monitoring spatial maxima , 2005, J. Geogr. Syst..
[58] M. Kulldorff,et al. The Knox Method and Other Tests for Space‐Time Interaction , 1999, Biometrics.
[59] Kenneth D. Mandl,et al. Application of Information Technology: AEGIS: A Robust and Scalable Real-time Public Health Surveillance System , 2007, J. Am. Medical Informatics Assoc..
[60] Dean F. Sittig,et al. The emerging science of very early detection of disease outbreaks. , 2001, Journal of public health management and practice : JPHMP.
[61] A. Getis. The Analysis of Spatial Association by Use of Distance Statistics , 2010 .
[62] Glen D. Johnson. Prospective spatial prediction of infectious disease: experience of New York State (USA) with West Nile Virus and proposed directions for improved surveillance , 2008, Environmental and Ecological Statistics.
[63] A C Gatrell,et al. Spatial clustering of amyotrophic lateral sclerosis in Finland at place of birth and place of death. , 2003, American journal of epidemiology.
[64] Ying C MacNab,et al. Regression B‐spline smoothing in Bayesian disease mapping: with an application to patient safety surveillance , 2007, Statistics in medicine.
[65] Martin Charlton,et al. A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets , 1987, Int. J. Geogr. Inf. Sci..
[66] A. Lawson. Spatial and Spatio‐Temporal Disease Analysis , 2005 .
[67] Arnaud Banos,et al. Spatio-temporal exploration of SARS epidemic , 2007 .
[68] Matthias Schonlau,et al. Syndromic Surveillance: Is it Worth the Effort? , 2004 .
[69] M. Pike,et al. Case-control approach to examine diseases for evidence of contagion, including diseases with long latent periods. , 1974, Biometrics.
[70] A B Lawson,et al. Applications of extraction mapping in environmental epidemiology. , 1993, Statistics in medicine.
[71] Roger Marshall,et al. A Review of Methods for the Statistical Analysis of Spatial Patterns of Disease , 1991 .
[72] Morton E. O'Kelly,et al. A bootstrap based space–time surveillance model with an application to crime occurrences , 2008, J. Geogr. Syst..
[73] B. Turnbull,et al. Monitoring for clusters of disease: application to leukemia incidence in upstate New York. , 1990, American journal of epidemiology.
[74] Ying C. MacNab,et al. Spline smoothing in Bayesian disease mapping , 2007 .
[75] Ying C MacNab,et al. Mapping disability‐adjusted life years: a Bayesian hierarchical model framework for burden of disease and injury assessment , 2007, Statistics in medicine.
[76] N. Mantel. The detection of disease clustering and a generalized regression approach. , 1967, Cancer research.
[77] T Tango,et al. A class of tests for detecting 'general' and 'focused' clustering of rare diseases. , 1995, Statistics in medicine.
[78] Hsinchun Chen,et al. A Review of Public Health Syndromic Surveillance Systems , 2006, ISI.
[79] Everett M. Rogers,et al. Innovation Diffusion As a Spatial Process , 1967 .
[80] A. Reingold,et al. If syndromic surveillance is the answer, what is the question? , 2003, Biosecurity and bioterrorism : biodefense strategy, practice, and science.
[81] G. Jacquez,et al. Case-Control Clustering for Mobile Populations , 2009 .
[82] J. Naus. The Distribution of the Size of the Maximum Cluster of Points on a Line , 1965 .
[83] O N Bjørnstad,et al. Predicting the local dynamics of epizootic rabies among raccoons in the United States. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[84] R. Häggkvist,et al. Second-order analysis of space-time clustering , 1995, Statistical methods in medical research.
[85] Ping Yan,et al. A cluster model for space–time disease counts , 2006, Statistics in medicine.
[86] Mark L. Wilson,et al. Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts , 2002, J. Geogr. Syst..
[87] G. Jacquez. A k nearest neighbour test for space-time interaction. , 1996, Statistics in medicine.
[88] P. Rogerson. A set of associated statistical tests for spatial clustering , 2005, Environmental and Ecological Statistics.
[89] R. Platt,et al. A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism. , 2004, American journal of epidemiology.
[90] J. McDermott,et al. Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda. , 2006, Transactions of the Royal Society of Tropical Medicine and Hygiene.