LEADER 05283nam 22006374a 450 001 9910831052803321 005 20230721030031.0 010 $a1-118-56905-9 010 $a1-280-85517-7 010 $a9786610855179 010 $a0-470-13188-8 010 $a0-470-13187-X 035 $a(CKB)1000000000356686 035 $a(EBL)292438 035 $a(OCoLC)163575426 035 $a(SSID)ssj0000139888 035 $a(PQKBManifestationID)11144761 035 $a(PQKBTitleCode)TC0000139888 035 $a(PQKBWorkID)10029245 035 $a(PQKB)11220562 035 $a(MiAaPQ)EBC292438 035 $a(EXLCZ)991000000000356686 100 $a20061120d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDisease surveillance$b[electronic resource] $ea public health informatics approach /$fedited by Joseph S. Lombardo, David L. Buckeridge 210 $aHoboken, N.J. $cWiley-Interscience$dc2007 215 $a1 online resource (484 p.) 300 $aDescription based upon print version of record. 311 $a0-470-06812-4 320 $aIncludes bibliographical references and index. 327 $aDISEASE 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 327 $a1 .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 327 $a2 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) 327 $a2.10.3 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 327 $a3.3.2 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 327 $a4.1 Statistical Alerting Algorithms 330 $aAn up-to-date and comprehensive treatment of biosurveillance techniques With the worldwide awareness of bioterrorism and drug-resistant infectious diseases, the need for surveillance systems to accurately detect emerging epidemicsis essential for maintaining global safety. Responding to these issues, Disease Surveillance brings together fifteen eminent researchers in the fields of medicine, epidemiology, biostatistics, and medical informatics to define the necessary elements of an effective disease surveillance program, including research, development, implementation, and operations. The sur 606 $aPublic health surveillance 606 $aMedical informatics 615 0$aPublic health surveillance. 615 0$aMedical informatics. 676 $a362.1 676 $a614.4072 701 $aLombardo$b Joseph S.$f1946-$01667864 701 $aBuckeridge$b David Llewellyn$f1970-$01667865 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831052803321 996 $aDisease surveillance$94028031 997 $aUNINA