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Modern infectious disease epidemiology / by Johan Giesecke.

By: Material type: TextTextPublication details: London ; New York : Arnold ; New York, NY : Distributed in the USA by Oxford University Press, 2002.Edition: 2nd edDescription: xi, 268 p. : ill. ; 25 cmISBN:
  • 0340764236
Subject(s): DDC classification:
  • 362.196  22 GIE
LOC classification:
  • RA651 .G54 2002
NLM classification:
  • 2001 O-432
  • WC 100
Online resources:
Contents:
Ch. 1. What is special about infectious disease epidemiology? -- Ch. 2. Definitions -- Ch. 3. Descriptive epidemiology -- Ch. 4. Risk, relative risk and attack rate -- Ch. 5. The case-control study: odds, odds ratios -- the concept of confounding -- Ch. 6. The cohort study: rates -- the concept of bias -- Ch. 7. Some statistical procedures that are often used in epidemiology -- Ch. 8. Clinical epidemiology: sensitivity, specificity, misclassification -- Ch. 9. Multivariate analysis and interaction -- Ch. 10. Survival analysis -- Ch. 11. Mathematical models for epidemics -- Ch. 12. Detection and analysis of outbreaks -- Ch. 13. Routine surveillance of infectious diseases -- Ch. 14. Measuring infectivity -- Ch. 15. Studying the natural history of infectious diseases -- Ch. 16. Seroepidemiology -- Ch. 17. The study of contact patterns -- Ch. 18. Methods for deciding whether or not an illness is infectious -- Ch. 19. The epidemiology of vaccination Ch. 20. The epidemiology of AIDS and variant CJD -- Ch. 21. Further reading
Item type: Reserved Books
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Holdings
Current library Collection Call number Copy number Status Notes Barcode
Main Library Reserve Book Section NFIC 362.196 GIE (Browse shelf(Opens below)) 001 Not for loan Material available in hard copy bsu26050172

Includes bibliographical references and index.

Ch. 1. What is special about infectious disease epidemiology? -- Ch. 2. Definitions -- Ch. 3. Descriptive epidemiology -- Ch. 4. Risk, relative risk and attack rate -- Ch. 5. The case-control study: odds, odds ratios -- the concept of confounding -- Ch. 6. The cohort study: rates -- the concept of bias -- Ch. 7. Some statistical procedures that are often used in epidemiology -- Ch. 8. Clinical epidemiology: sensitivity, specificity, misclassification -- Ch. 9. Multivariate analysis and interaction -- Ch. 10. Survival analysis -- Ch. 11. Mathematical models for epidemics -- Ch. 12. Detection and analysis of outbreaks -- Ch. 13. Routine surveillance of infectious diseases -- Ch. 14. Measuring infectivity -- Ch. 15. Studying the natural history of infectious diseases -- Ch. 16. Seroepidemiology -- Ch. 17. The study of contact patterns -- Ch. 18. Methods for deciding whether or not an illness is infectious -- Ch. 19. The epidemiology of vaccination Ch. 20. The epidemiology of AIDS and variant CJD -- Ch. 21. Further reading

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