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Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
Autore Lawson Andrew (Andrew B.)
Pubbl/distr/stampa Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003
Descrizione fisica 1 online resource (293 p.)
Disciplina 614
614.4202855369
615.4/2/0727
Altri autori (Persone) BrowneWilliam J <1972-> (William John)
Vidal RodeiroCarmen L
Collana Statistics in practice
Soggetto topico Medical mapping
Medical geography - Maps - Data processing
Epidemiology - Statistical methods
Epidemiology - Data processing
Public health surveillance
Soggetto genere / forma Electronic books.
ISBN 1-280-27039-X
9786610270392
0-470-34164-5
0-470-85605-X
0-470-85606-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Disease Mapping with WinBUGS and MLwiN; Contents; Preface; Notation; 0.1 Standard notation for multilevel modelling; 0.2 Spatial multiple-membership models and the MMMC notation; 0.3 Standard notation for WinBUGS models; 1 Disease mapping basics; 1.1 Disease mapping and map reconstruction; 1.2 Disease map restoration; 2 Bayesian hierarchical modelling; 2.1 Likelihood and posterior distributions; 2.2 Hierarchical models; 2.3 Posterior inference; 2.4 Markov chain Monte Carlo methods; 2.5 Metropolis and Metropolis-Hastings algorithms; 2.6 Residuals and goodness of fit; 3 Multilevel modelling
3.1 Continuous response models3.2 Estimation procedures for multilevel models; 3.3 Poisson response models; 3.4 Incorporating spatial information; 3.5 Discussion; 4 WinBUGS basics; 4.1 About WinBUGS; 4.2 Start using WinBUGS; 4.3 Specification of the model; 4.4 Model fitting; 4.5 Scripts; 4.6 Checking convergence; 4.7 Spatial modelling: GeoBUGS; 4.8 Conclusions; 5 MLwiN basics; 5.1 About MLwiN; 5.2 Getting started; 5.3 Fitting statistical models; 5.4 MCMC estimation in MLwiN; 5.5 Spatial modelling; 5.6 Conclusions; 6 Relative risk estimation; 6.1 Relative risk estimation using WinBUGS
6.2 Spatial prediction6.3 An analysis of the Ohio dataset using MLwiN; 7 Focused clustering: the analysis of putative health hazards; 7.1 Introduction; 7.2 Study design; 7.3 Problems of inference; 7.4 Modelling the hazard exposure risk; 7.5 Models for count data; 7.6 Bayesian models; 7.7 Focused clustering in WinBUGS; 7.8 Focused clustering in MLwiN; 8 Ecological analysis; 8.1 Introduction; 8.2 Statistical models; 8.3 WinBUGS analyses of ecological datasets; 8.4 MLwiN analyses of ecological datasets; 9 Spatially-correlated survival analysis; 9.1 Survival analysis in WinBUGS
9.2 Survival analysis in MLwiN10 Epilogue; Appendix 1: WinBUGS code for focused clustering models; A.1 Falkirk example; A.2 Ohio example; Appendix 2: S-Plus function for conversion to GeoBUGS format; Bibliography; Index
Record Nr. UNINA-9910143214303321
Lawson Andrew (Andrew B.)  
Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
Autore Lawson Andrew (Andrew B.)
Pubbl/distr/stampa Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003
Descrizione fisica 1 online resource (293 p.)
Disciplina 614
614.4202855369
615.4/2/0727
Altri autori (Persone) BrowneWilliam J <1972-> (William John)
Vidal RodeiroCarmen L
Collana Statistics in practice
Soggetto topico Medical mapping
Medical geography - Maps - Data processing
Epidemiology - Statistical methods
Epidemiology - Data processing
Public health surveillance
ISBN 1-280-27039-X
9786610270392
0-470-34164-5
0-470-85605-X
0-470-85606-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Disease Mapping with WinBUGS and MLwiN; Contents; Preface; Notation; 0.1 Standard notation for multilevel modelling; 0.2 Spatial multiple-membership models and the MMMC notation; 0.3 Standard notation for WinBUGS models; 1 Disease mapping basics; 1.1 Disease mapping and map reconstruction; 1.2 Disease map restoration; 2 Bayesian hierarchical modelling; 2.1 Likelihood and posterior distributions; 2.2 Hierarchical models; 2.3 Posterior inference; 2.4 Markov chain Monte Carlo methods; 2.5 Metropolis and Metropolis-Hastings algorithms; 2.6 Residuals and goodness of fit; 3 Multilevel modelling
3.1 Continuous response models3.2 Estimation procedures for multilevel models; 3.3 Poisson response models; 3.4 Incorporating spatial information; 3.5 Discussion; 4 WinBUGS basics; 4.1 About WinBUGS; 4.2 Start using WinBUGS; 4.3 Specification of the model; 4.4 Model fitting; 4.5 Scripts; 4.6 Checking convergence; 4.7 Spatial modelling: GeoBUGS; 4.8 Conclusions; 5 MLwiN basics; 5.1 About MLwiN; 5.2 Getting started; 5.3 Fitting statistical models; 5.4 MCMC estimation in MLwiN; 5.5 Spatial modelling; 5.6 Conclusions; 6 Relative risk estimation; 6.1 Relative risk estimation using WinBUGS
6.2 Spatial prediction6.3 An analysis of the Ohio dataset using MLwiN; 7 Focused clustering: the analysis of putative health hazards; 7.1 Introduction; 7.2 Study design; 7.3 Problems of inference; 7.4 Modelling the hazard exposure risk; 7.5 Models for count data; 7.6 Bayesian models; 7.7 Focused clustering in WinBUGS; 7.8 Focused clustering in MLwiN; 8 Ecological analysis; 8.1 Introduction; 8.2 Statistical models; 8.3 WinBUGS analyses of ecological datasets; 8.4 MLwiN analyses of ecological datasets; 9 Spatially-correlated survival analysis; 9.1 Survival analysis in WinBUGS
9.2 Survival analysis in MLwiN10 Epilogue; Appendix 1: WinBUGS code for focused clustering models; A.1 Falkirk example; A.2 Ohio example; Appendix 2: S-Plus function for conversion to GeoBUGS format; Bibliography; Index
Record Nr. UNINA-9910831057903321
Lawson Andrew (Andrew B.)  
Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
Autore Lawson Andrew (Andrew B.)
Pubbl/distr/stampa Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003
Descrizione fisica 1 online resource (293 p.)
Disciplina 614
614.4202855369
615.4/2/0727
Altri autori (Persone) BrowneWilliam J <1972-> (William John)
Vidal RodeiroCarmen L
Collana Statistics in practice
Soggetto topico Medical mapping
Medical geography - Maps - Data processing
Epidemiology - Statistical methods
Epidemiology - Data processing
Public health surveillance
ISBN 1-280-27039-X
9786610270392
0-470-34164-5
0-470-85605-X
0-470-85606-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Disease Mapping with WinBUGS and MLwiN; Contents; Preface; Notation; 0.1 Standard notation for multilevel modelling; 0.2 Spatial multiple-membership models and the MMMC notation; 0.3 Standard notation for WinBUGS models; 1 Disease mapping basics; 1.1 Disease mapping and map reconstruction; 1.2 Disease map restoration; 2 Bayesian hierarchical modelling; 2.1 Likelihood and posterior distributions; 2.2 Hierarchical models; 2.3 Posterior inference; 2.4 Markov chain Monte Carlo methods; 2.5 Metropolis and Metropolis-Hastings algorithms; 2.6 Residuals and goodness of fit; 3 Multilevel modelling
3.1 Continuous response models3.2 Estimation procedures for multilevel models; 3.3 Poisson response models; 3.4 Incorporating spatial information; 3.5 Discussion; 4 WinBUGS basics; 4.1 About WinBUGS; 4.2 Start using WinBUGS; 4.3 Specification of the model; 4.4 Model fitting; 4.5 Scripts; 4.6 Checking convergence; 4.7 Spatial modelling: GeoBUGS; 4.8 Conclusions; 5 MLwiN basics; 5.1 About MLwiN; 5.2 Getting started; 5.3 Fitting statistical models; 5.4 MCMC estimation in MLwiN; 5.5 Spatial modelling; 5.6 Conclusions; 6 Relative risk estimation; 6.1 Relative risk estimation using WinBUGS
6.2 Spatial prediction6.3 An analysis of the Ohio dataset using MLwiN; 7 Focused clustering: the analysis of putative health hazards; 7.1 Introduction; 7.2 Study design; 7.3 Problems of inference; 7.4 Modelling the hazard exposure risk; 7.5 Models for count data; 7.6 Bayesian models; 7.7 Focused clustering in WinBUGS; 7.8 Focused clustering in MLwiN; 8 Ecological analysis; 8.1 Introduction; 8.2 Statistical models; 8.3 WinBUGS analyses of ecological datasets; 8.4 MLwiN analyses of ecological datasets; 9 Spatially-correlated survival analysis; 9.1 Survival analysis in WinBUGS
9.2 Survival analysis in MLwiN10 Epilogue; Appendix 1: WinBUGS code for focused clustering models; A.1 Falkirk example; A.2 Ohio example; Appendix 2: S-Plus function for conversion to GeoBUGS format; Bibliography; Index
Record Nr. UNINA-9910841598103321
Lawson Andrew (Andrew B.)  
Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Disease surveillance [[electronic resource] ] : a public health informatics approach / / edited by Joseph S. Lombardo, David L. Buckeridge
Disease surveillance [[electronic resource] ] : a public health informatics approach / / edited by Joseph S. Lombardo, David L. Buckeridge
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2007
Descrizione fisica 1 online resource (484 p.)
Disciplina 362.1
614.4072
Altri autori (Persone) LombardoJoseph S. <1946->
BuckeridgeDavid Llewellyn <1970->
Soggetto topico Public health surveillance
Medical informatics
Soggetto genere / forma Electronic books.
ISBN 1-118-56905-9
1-280-85517-7
9786610855179
0-470-13188-8
0-470-13187-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto DISEASE SURVEILLANCE : A Public Health Informatics Approach; Contents; Contributors; Preface; Acknowledgments; 1 Disease Surveillance, a Public Health Priority; 1.1 Introduction; 1.2 The Emerging Role of Informatics in Public Health Practice; 1.3 Early Use of Technology for Public Health Practice; 1.3.1 Early Use of Analytics, Visualization, and Communications; 1.3.2 Early Informatics Applications in Medicine & Public Health; 1.3.3 Public Health Records Archiving; 1.4 Guiding Principles for Development of Public Health Applications
1 .5 Information Requirements for Automated Disease Surveillance1.6 Historical Impact of Infectious Disease Outbreaks; 1.6.1 Smallpox; 1.6.2 Plague; 1.6.3 Spanish Influenza, 1918; 1.6.4 Influenza Pandemics after 1918; 1.7 Disease as a Weapon; 1.7.1 Bioterrorism; 1.8 Modern Disease Surveillance Applications; 1.8.1 Components of an Early Recognition Disease Surveillance System; 1.8.2 Modern Surveillance Applications for Use by State and Local Health Departments; 1.8.3 National Disease Surveillance Initiatives; 1.9 Summary; References; Part I: System Design and Implementation
2 Understanding the Data: Health Indicators in Disease Surveillance2.1 Data Source Concepts; 2.2 Data from Pharmacy Chains; 2.3 Data from EMS and 911; 2.4 Data from Telephone Triage Hotlines; 2.5 Data from School Absenteeism and School Nurses; 2.6 Data from Hospital Visits; 2.7 Data from Physicians' Office Visits; 2.8 Laboratories Role in pre-diagnostic Surveillance; 2.9 Other Health Indicator Data; 2.9.1 Environmental Data; 2.9.2 Animal Health Data; 2.10 Data Source Evaluation; 2.10.1 Approach and Methodology; 2.10.2 Example: Wildfires (October 2003)
2.10.3 Example: Influenza Outbreak (December 2003)2.10.4 Example: Gastrointestinal Illness (January-February 2004); 2.10.5 Conclusions; 2.11 Study Questions; References; 3 Obtaining the Data; 3.1 Introduction to Data Collection and Archiving; 3.1.1 The Internet: Universal Connectivity; 3.1.2 Databases: Flexible Data Storage; 3.1.3 Summary; 3.2 Obtaining Access to Surveillance Data; 3.2.1 Sharing Health Indicator Data; 3.2.2 Data-Sharing Issues; 3.2.3 HIPAA and Disease Surveillance; 3.2.4 Summary of Data Sharing; 3.3 The Role of Standards in Data Exchange; 3.3.1 Types of Standards
3.3.2 Standards Development3.3.3 Standards for Health Indicator Data in Biosurveillence; 3.3.4 National Health Information Systems - Implementing Standards; 3.4 Establishing the Data Feeds; 3.4.1 Information Systems of the Data Provider or Source; 3.4.2 Setting Up the Data Feed; 3.4.3 Data Characteristics; 3.4.4 Data Fields or Elements; 3.4.5 Data Transfer Format; 3.4.6 Data Transfer Protocol; 3.4.7 Security Considerations; 3.4.8 Data Import Methods; 3.4.9 Data Cleaning; 3.4.10 Data Quality; 3.4.11 Summary; 3.5 Study Questions; References; 4 Alerting Algorithms for Biosurveillance
4.1 Statistical Alerting Algorithms
Record Nr. UNINA-9910143721203321
Hoboken, N.J., : Wiley-Interscience, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Disease surveillance [[electronic resource] ] : a public health informatics approach / / edited by Joseph S. Lombardo, David L. Buckeridge
Disease surveillance [[electronic resource] ] : a public health informatics approach / / edited by Joseph S. Lombardo, David L. Buckeridge
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2007
Descrizione fisica 1 online resource (484 p.)
Disciplina 362.1
614.4072
Altri autori (Persone) LombardoJoseph S. <1946->
BuckeridgeDavid Llewellyn <1970->
Soggetto topico Public health surveillance
Medical informatics
ISBN 1-118-56905-9
1-280-85517-7
9786610855179
0-470-13188-8
0-470-13187-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto DISEASE SURVEILLANCE : A Public Health Informatics Approach; Contents; Contributors; Preface; Acknowledgments; 1 Disease Surveillance, a Public Health Priority; 1.1 Introduction; 1.2 The Emerging Role of Informatics in Public Health Practice; 1.3 Early Use of Technology for Public Health Practice; 1.3.1 Early Use of Analytics, Visualization, and Communications; 1.3.2 Early Informatics Applications in Medicine & Public Health; 1.3.3 Public Health Records Archiving; 1.4 Guiding Principles for Development of Public Health Applications
1 .5 Information Requirements for Automated Disease Surveillance1.6 Historical Impact of Infectious Disease Outbreaks; 1.6.1 Smallpox; 1.6.2 Plague; 1.6.3 Spanish Influenza, 1918; 1.6.4 Influenza Pandemics after 1918; 1.7 Disease as a Weapon; 1.7.1 Bioterrorism; 1.8 Modern Disease Surveillance Applications; 1.8.1 Components of an Early Recognition Disease Surveillance System; 1.8.2 Modern Surveillance Applications for Use by State and Local Health Departments; 1.8.3 National Disease Surveillance Initiatives; 1.9 Summary; References; Part I: System Design and Implementation
2 Understanding the Data: Health Indicators in Disease Surveillance2.1 Data Source Concepts; 2.2 Data from Pharmacy Chains; 2.3 Data from EMS and 911; 2.4 Data from Telephone Triage Hotlines; 2.5 Data from School Absenteeism and School Nurses; 2.6 Data from Hospital Visits; 2.7 Data from Physicians' Office Visits; 2.8 Laboratories Role in pre-diagnostic Surveillance; 2.9 Other Health Indicator Data; 2.9.1 Environmental Data; 2.9.2 Animal Health Data; 2.10 Data Source Evaluation; 2.10.1 Approach and Methodology; 2.10.2 Example: Wildfires (October 2003)
2.10.3 Example: Influenza Outbreak (December 2003)2.10.4 Example: Gastrointestinal Illness (January-February 2004); 2.10.5 Conclusions; 2.11 Study Questions; References; 3 Obtaining the Data; 3.1 Introduction to Data Collection and Archiving; 3.1.1 The Internet: Universal Connectivity; 3.1.2 Databases: Flexible Data Storage; 3.1.3 Summary; 3.2 Obtaining Access to Surveillance Data; 3.2.1 Sharing Health Indicator Data; 3.2.2 Data-Sharing Issues; 3.2.3 HIPAA and Disease Surveillance; 3.2.4 Summary of Data Sharing; 3.3 The Role of Standards in Data Exchange; 3.3.1 Types of Standards
3.3.2 Standards Development3.3.3 Standards for Health Indicator Data in Biosurveillence; 3.3.4 National Health Information Systems - Implementing Standards; 3.4 Establishing the Data Feeds; 3.4.1 Information Systems of the Data Provider or Source; 3.4.2 Setting Up the Data Feed; 3.4.3 Data Characteristics; 3.4.4 Data Fields or Elements; 3.4.5 Data Transfer Format; 3.4.6 Data Transfer Protocol; 3.4.7 Security Considerations; 3.4.8 Data Import Methods; 3.4.9 Data Cleaning; 3.4.10 Data Quality; 3.4.11 Summary; 3.5 Study Questions; References; 4 Alerting Algorithms for Biosurveillance
4.1 Statistical Alerting Algorithms
Record Nr. UNINA-9910831052803321
Hoboken, N.J., : Wiley-Interscience, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Disease surveillance [[electronic resource] ] : a public health informatics approach / / edited by Joseph S. Lombardo, David L. Buckeridge
Disease surveillance [[electronic resource] ] : a public health informatics approach / / edited by Joseph S. Lombardo, David L. Buckeridge
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2007
Descrizione fisica 1 online resource (484 p.)
Disciplina 362.1
614.4072
Altri autori (Persone) LombardoJoseph S. <1946->
BuckeridgeDavid Llewellyn <1970->
Soggetto topico Public health surveillance
Medical informatics
ISBN 1-118-56905-9
1-280-85517-7
9786610855179
0-470-13188-8
0-470-13187-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto DISEASE SURVEILLANCE : A Public Health Informatics Approach; Contents; Contributors; Preface; Acknowledgments; 1 Disease Surveillance, a Public Health Priority; 1.1 Introduction; 1.2 The Emerging Role of Informatics in Public Health Practice; 1.3 Early Use of Technology for Public Health Practice; 1.3.1 Early Use of Analytics, Visualization, and Communications; 1.3.2 Early Informatics Applications in Medicine & Public Health; 1.3.3 Public Health Records Archiving; 1.4 Guiding Principles for Development of Public Health Applications
1 .5 Information Requirements for Automated Disease Surveillance1.6 Historical Impact of Infectious Disease Outbreaks; 1.6.1 Smallpox; 1.6.2 Plague; 1.6.3 Spanish Influenza, 1918; 1.6.4 Influenza Pandemics after 1918; 1.7 Disease as a Weapon; 1.7.1 Bioterrorism; 1.8 Modern Disease Surveillance Applications; 1.8.1 Components of an Early Recognition Disease Surveillance System; 1.8.2 Modern Surveillance Applications for Use by State and Local Health Departments; 1.8.3 National Disease Surveillance Initiatives; 1.9 Summary; References; Part I: System Design and Implementation
2 Understanding the Data: Health Indicators in Disease Surveillance2.1 Data Source Concepts; 2.2 Data from Pharmacy Chains; 2.3 Data from EMS and 911; 2.4 Data from Telephone Triage Hotlines; 2.5 Data from School Absenteeism and School Nurses; 2.6 Data from Hospital Visits; 2.7 Data from Physicians' Office Visits; 2.8 Laboratories Role in pre-diagnostic Surveillance; 2.9 Other Health Indicator Data; 2.9.1 Environmental Data; 2.9.2 Animal Health Data; 2.10 Data Source Evaluation; 2.10.1 Approach and Methodology; 2.10.2 Example: Wildfires (October 2003)
2.10.3 Example: Influenza Outbreak (December 2003)2.10.4 Example: Gastrointestinal Illness (January-February 2004); 2.10.5 Conclusions; 2.11 Study Questions; References; 3 Obtaining the Data; 3.1 Introduction to Data Collection and Archiving; 3.1.1 The Internet: Universal Connectivity; 3.1.2 Databases: Flexible Data Storage; 3.1.3 Summary; 3.2 Obtaining Access to Surveillance Data; 3.2.1 Sharing Health Indicator Data; 3.2.2 Data-Sharing Issues; 3.2.3 HIPAA and Disease Surveillance; 3.2.4 Summary of Data Sharing; 3.3 The Role of Standards in Data Exchange; 3.3.1 Types of Standards
3.3.2 Standards Development3.3.3 Standards for Health Indicator Data in Biosurveillence; 3.3.4 National Health Information Systems - Implementing Standards; 3.4 Establishing the Data Feeds; 3.4.1 Information Systems of the Data Provider or Source; 3.4.2 Setting Up the Data Feed; 3.4.3 Data Characteristics; 3.4.4 Data Fields or Elements; 3.4.5 Data Transfer Format; 3.4.6 Data Transfer Protocol; 3.4.7 Security Considerations; 3.4.8 Data Import Methods; 3.4.9 Data Cleaning; 3.4.10 Data Quality; 3.4.11 Summary; 3.5 Study Questions; References; 4 Alerting Algorithms for Biosurveillance
4.1 Statistical Alerting Algorithms
Record Nr. UNINA-9910841587403321
Hoboken, N.J., : Wiley-Interscience, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fundamentos da vigilância sanitária / / Suely Rozenfeld
Fundamentos da vigilância sanitária / / Suely Rozenfeld
Autore Rozenfeld Suely
Pubbl/distr/stampa SciELO Books - Editora FIOCRUZ, 2000
Descrizione fisica 1 online resource (301 pages) : illustrations
Altri autori (Persone) RozenfeldSuely
Soggetto topico Public health surveillance
Epidemiology
Soggetto non controllato MEDICAL
ISBN 9788575413258 (ebook)
8585676736 (paperback)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione por
Record Nr. UNINA-9910688235503321
Rozenfeld Suely  
SciELO Books - Editora FIOCRUZ, 2000
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of biosurveillance [[electronic resource] /] / edited by Michael M. Wagner, Andrew W. Moore, Ron M. Aryel
Handbook of biosurveillance [[electronic resource] /] / edited by Michael M. Wagner, Andrew W. Moore, Ron M. Aryel
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, c2006
Descrizione fisica 1 online resource (621 p.)
Disciplina 362.1
Altri autori (Persone) WagnerMichael M
MooreAndrew W., Ph.D.
AryelRon M
Soggetto topico Public health surveillance
Soggetto genere / forma Electronic books.
ISBN 1-280-64137-1
9786610641376
0-08-045999-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction / Michael M. Wagner -- Outbreaks and investigations / Virginia Dato, Richard Shephard, and Michael M. Wagner -- Case detection, outbreak detection, and outbreak characterization / Michael M. Wagner, Louise S. Gresham, and Virginia Dato -- Functional requirements for biosurveillance / Michael M. Wagner, Loren Shaffer, and Richard Shephard -- Governmental public health / Rita Velikina, Virginia Dato, and Michael M. Wagner -- The healthcare system / Michael M. Wagner, William R. Hogan, and Ron M. Aryel -- Animal health / Richard Shephard, Ron M. Aryel, and Loren Shaffer -- Laboratories / Charles Brokopp ... [et al.] -- Water suppliers / Jason R.E. Shepard ... [et al.] -- Food and pharmaceutical industries / Ron M. Aryel and T.V. (Sunil) Anklekar -- Coroners and medical examiners / Ron M. Aryel and Michael M. Wagner -- Other organizations that conduct biosurveillance / Michael M. Wagner ... [et al.] -- Case detection algorithms / Fu-Chiang Tsui ... [et al.] -- Classical time-series methods for biosurveillance / Weng-Keen Wong and Andrew W. Moore -- Combining multiple signals for biosurveillance / Andrew W. Moore, Brigham Anderson ... [et al.] -- Methods for detecting spatial and spatio-temporal clusters / Daniel B. Neill and Andrew W. Moore -- Natural language processing for biosurveillance / Wendy W. Chapman -- Bayesian methods for diagnosing outbreaks / Gregory F. Cooper ... [et al.] -- Atmospheric dispersion modeling in biosurveillance / William R. Hogan -- Methods for algorithm evaluation / Michael M. Wagner and Garrick Wallstrom -- Methods for evaluating surveillance data / Michael M. Wagner -- Sales of over-the-counter healthcare products / William R. Hogan and Michael M. Wagner -- Chief complaints and ICD codes / Michael M. Wagner ... [et al.] -- Absenteeism / Leslie Lenert ... [et al.] -- Emergency call centers / Ron M. Aryel and Michael M. Wagner -- The internet as sentinel / Michael M. Wagner, Heather A. Johnson, and Virginia Dato -- Physiologic and space-based sensors / Ron M. Aryel -- Data NOS (not otherwise specified) / Michael M. Wagner and Murray Campbell -- Decision analysis / Agnieszka Onisko, Garrick Wallstrom, and Michael M. Wagner -- Probabilistic interpretation of surveillance data / Garrick Wallstrom, Michael M. Wagner, and Agnieska [sic] Onisko -- Economic studies in biosurveillance / Bruce Y. Lee ... [et al.] -- Information technology standards in biosurveillance / William R. Hogan and Michael M. Wagner -- Architecture / Jeremy Espino and Michael M. Wagner -- Advancing organizational integration: negotiation, data use agreements, law and ethics / M. Cleat Szczepaniak ... [et al.] -- Other design and implementation issues / Steve DeFrancesco, Kevin Hutchison, and Michael M. Wagner -- Project management / Neil Jacobson, Sherry Daswani, and Per H. Gesteland -- Methods for field testing of biosurveillance systems / Michael M. Wagner.
Record Nr. UNINA-9910458956403321
Amsterdam ; ; Boston, : Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of biosurveillance [[electronic resource] /] / edited by Michael M. Wagner, Andrew W. Moore, Ron M. Aryel
Handbook of biosurveillance [[electronic resource] /] / edited by Michael M. Wagner, Andrew W. Moore, Ron M. Aryel
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, c2006
Descrizione fisica 1 online resource (621 p.)
Disciplina 362.1
Altri autori (Persone) WagnerMichael M
MooreAndrew W., Ph.D.
AryelRon M
Soggetto topico Public health surveillance
ISBN 1-280-64137-1
9786610641376
0-08-045999-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction / Michael M. Wagner -- Outbreaks and investigations / Virginia Dato, Richard Shephard, and Michael M. Wagner -- Case detection, outbreak detection, and outbreak characterization / Michael M. Wagner, Louise S. Gresham, and Virginia Dato -- Functional requirements for biosurveillance / Michael M. Wagner, Loren Shaffer, and Richard Shephard -- Governmental public health / Rita Velikina, Virginia Dato, and Michael M. Wagner -- The healthcare system / Michael M. Wagner, William R. Hogan, and Ron M. Aryel -- Animal health / Richard Shephard, Ron M. Aryel, and Loren Shaffer -- Laboratories / Charles Brokopp ... [et al.] -- Water suppliers / Jason R.E. Shepard ... [et al.] -- Food and pharmaceutical industries / Ron M. Aryel and T.V. (Sunil) Anklekar -- Coroners and medical examiners / Ron M. Aryel and Michael M. Wagner -- Other organizations that conduct biosurveillance / Michael M. Wagner ... [et al.] -- Case detection algorithms / Fu-Chiang Tsui ... [et al.] -- Classical time-series methods for biosurveillance / Weng-Keen Wong and Andrew W. Moore -- Combining multiple signals for biosurveillance / Andrew W. Moore, Brigham Anderson ... [et al.] -- Methods for detecting spatial and spatio-temporal clusters / Daniel B. Neill and Andrew W. Moore -- Natural language processing for biosurveillance / Wendy W. Chapman -- Bayesian methods for diagnosing outbreaks / Gregory F. Cooper ... [et al.] -- Atmospheric dispersion modeling in biosurveillance / William R. Hogan -- Methods for algorithm evaluation / Michael M. Wagner and Garrick Wallstrom -- Methods for evaluating surveillance data / Michael M. Wagner -- Sales of over-the-counter healthcare products / William R. Hogan and Michael M. Wagner -- Chief complaints and ICD codes / Michael M. Wagner ... [et al.] -- Absenteeism / Leslie Lenert ... [et al.] -- Emergency call centers / Ron M. Aryel and Michael M. Wagner -- The internet as sentinel / Michael M. Wagner, Heather A. Johnson, and Virginia Dato -- Physiologic and space-based sensors / Ron M. Aryel -- Data NOS (not otherwise specified) / Michael M. Wagner and Murray Campbell -- Decision analysis / Agnieszka Onisko, Garrick Wallstrom, and Michael M. Wagner -- Probabilistic interpretation of surveillance data / Garrick Wallstrom, Michael M. Wagner, and Agnieska [sic] Onisko -- Economic studies in biosurveillance / Bruce Y. Lee ... [et al.] -- Information technology standards in biosurveillance / William R. Hogan and Michael M. Wagner -- Architecture / Jeremy Espino and Michael M. Wagner -- Advancing organizational integration: negotiation, data use agreements, law and ethics / M. Cleat Szczepaniak ... [et al.] -- Other design and implementation issues / Steve DeFrancesco, Kevin Hutchison, and Michael M. Wagner -- Project management / Neil Jacobson, Sherry Daswani, and Per H. Gesteland -- Methods for field testing of biosurveillance systems / Michael M. Wagner.
Record Nr. UNINA-9910784649203321
Amsterdam ; ; Boston, : Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of biosurveillance [[electronic resource] /] / edited by Michael M. Wagner, Andrew W. Moore, Ron M. Aryel
Handbook of biosurveillance [[electronic resource] /] / edited by Michael M. Wagner, Andrew W. Moore, Ron M. Aryel
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, c2006
Descrizione fisica 1 online resource (621 p.)
Disciplina 362.1
Altri autori (Persone) WagnerMichael M
MooreAndrew W., Ph.D.
AryelRon M
Soggetto topico Public health surveillance
ISBN 1-280-64137-1
9786610641376
0-08-045999-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction / Michael M. Wagner -- Outbreaks and investigations / Virginia Dato, Richard Shephard, and Michael M. Wagner -- Case detection, outbreak detection, and outbreak characterization / Michael M. Wagner, Louise S. Gresham, and Virginia Dato -- Functional requirements for biosurveillance / Michael M. Wagner, Loren Shaffer, and Richard Shephard -- Governmental public health / Rita Velikina, Virginia Dato, and Michael M. Wagner -- The healthcare system / Michael M. Wagner, William R. Hogan, and Ron M. Aryel -- Animal health / Richard Shephard, Ron M. Aryel, and Loren Shaffer -- Laboratories / Charles Brokopp ... [et al.] -- Water suppliers / Jason R.E. Shepard ... [et al.] -- Food and pharmaceutical industries / Ron M. Aryel and T.V. (Sunil) Anklekar -- Coroners and medical examiners / Ron M. Aryel and Michael M. Wagner -- Other organizations that conduct biosurveillance / Michael M. Wagner ... [et al.] -- Case detection algorithms / Fu-Chiang Tsui ... [et al.] -- Classical time-series methods for biosurveillance / Weng-Keen Wong and Andrew W. Moore -- Combining multiple signals for biosurveillance / Andrew W. Moore, Brigham Anderson ... [et al.] -- Methods for detecting spatial and spatio-temporal clusters / Daniel B. Neill and Andrew W. Moore -- Natural language processing for biosurveillance / Wendy W. Chapman -- Bayesian methods for diagnosing outbreaks / Gregory F. Cooper ... [et al.] -- Atmospheric dispersion modeling in biosurveillance / William R. Hogan -- Methods for algorithm evaluation / Michael M. Wagner and Garrick Wallstrom -- Methods for evaluating surveillance data / Michael M. Wagner -- Sales of over-the-counter healthcare products / William R. Hogan and Michael M. Wagner -- Chief complaints and ICD codes / Michael M. Wagner ... [et al.] -- Absenteeism / Leslie Lenert ... [et al.] -- Emergency call centers / Ron M. Aryel and Michael M. Wagner -- The internet as sentinel / Michael M. Wagner, Heather A. Johnson, and Virginia Dato -- Physiologic and space-based sensors / Ron M. Aryel -- Data NOS (not otherwise specified) / Michael M. Wagner and Murray Campbell -- Decision analysis / Agnieszka Onisko, Garrick Wallstrom, and Michael M. Wagner -- Probabilistic interpretation of surveillance data / Garrick Wallstrom, Michael M. Wagner, and Agnieska [sic] Onisko -- Economic studies in biosurveillance / Bruce Y. Lee ... [et al.] -- Information technology standards in biosurveillance / William R. Hogan and Michael M. Wagner -- Architecture / Jeremy Espino and Michael M. Wagner -- Advancing organizational integration: negotiation, data use agreements, law and ethics / M. Cleat Szczepaniak ... [et al.] -- Other design and implementation issues / Steve DeFrancesco, Kevin Hutchison, and Michael M. Wagner -- Project management / Neil Jacobson, Sherry Daswani, and Per H. Gesteland -- Methods for field testing of biosurveillance systems / Michael M. Wagner.
Record Nr. UNINA-9910809111303321
Amsterdam ; ; Boston, : Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui