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- 2012035196 contributor B12467838.
- 2012035196 created "2013.".
- 2012035196 date "2013".
- 2012035196 date "2013.".
- 2012035196 dateCopyrighted "2013.".
- 2012035196 description "Includes bibliographical references (p. 381-390) and index.".
- 2012035196 description "Machine generated contents note: Part I. Introduction to Biosurveillance: 1. Overview; 2. Biosurveillance data; Part II. Situational Awareness: 3. Situational awareness for biosurveillance; 4. Descriptive statistics for displaying the situation; 5. Statistical models for evaluating the situation; Part III. Early Event Detection: 6. Design and performance evaluation; 7. Univariate temporal methods; 8. Multivariate temporal methods; 9. Spatio-temporal methods; Part IV. Putting It All Together: 10. Simulating biosurveillance data; 11. Applying the temporal methods to real data; 12. Comparing methods to better understand and improve; 13. Frontiers, open questions, and future research.".
- 2012035196 extent "xvi, 399 p. :".
- 2012035196 identifier "9780521191340 (hardback)".
- 2012035196 issued "2013".
- 2012035196 issued "2013.".
- 2012035196 language "eng".
- 2012035196 publisher "Cambridge : Cambridge University Press,".
- 2012035196 subject "363.325/3 23".
- 2012035196 subject "Biosurveillance methods.".
- 2012035196 subject "Bioterrorism prevention & control.".
- 2012035196 subject "Communicable Disease Control methods.".
- 2012035196 subject "Disease Outbreaks prevention & control.".
- 2012035196 subject "Models, Statistical.".
- 2012035196 subject "RA652.2.P82 F75 2013".
- 2012035196 subject "WA 950".
- 2012035196 tableOfContents "Machine generated contents note: Part I. Introduction to Biosurveillance: 1. Overview; 2. Biosurveillance data; Part II. Situational Awareness: 3. Situational awareness for biosurveillance; 4. Descriptive statistics for displaying the situation; 5. Statistical models for evaluating the situation; Part III. Early Event Detection: 6. Design and performance evaluation; 7. Univariate temporal methods; 8. Multivariate temporal methods; 9. Spatio-temporal methods; Part IV. Putting It All Together: 10. Simulating biosurveillance data; 11. Applying the temporal methods to real data; 12. Comparing methods to better understand and improve; 13. Frontiers, open questions, and future research.".
- 2012035196 title "Introduction to statistical methods for biosurveillance : with an emphasis on syndromic surveillance / Ronald D. Fricker, Jr.".
- 2012035196 type "text".