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Health Statistics

  • Contents:
    no. 1. Alabama
    no. 2. Alaska
    no. 3. Arizona
    no. 4. Arkansas
    no. 5. California
    no. 6. Colorado
    no. 7. Connecticut
    no. 8. Delaware
    no. 9. District of Columbia
    no. 10. Florida
    no. 11. Georgia
    no. 12. Hawaii
    no. 13. Idaho
    no. 14. Illinois
    no. 15. Indiana
    no. 16. Iowa
    no. 17. Kansas
    no. 18. Kentucky
    no. 19. Louisiana
    no. 20. Maine
    no. 21. Maryland
    no. 22. Massachusetts
    no. 23. Michigan
    no. 24. Minnesota
    no. 25. Mississippi
    no. 26. Missouri
    no. 27. Montana
    no. 28. Nebraska
    no. 29. Nevada
    no. 30. New Hampshire
    no. 31. New Jersey
    no. 32. New Mexico
    no. 33. New York
    no. 34. North Carolina
    no. 35. North Dakota
    no. 36. Ohio
    no. 37. Oklahoma
    no. 38. Oregon
    no. 39. Pennsylvania
    no. 40. Rhode Island
    no. 41. South Carolina
    no. 42. South Dakota
    no. 43. Tennessee
    no. 44. Texas
    no. 46. Vermont
    no. 47. Virginia
    no. 48. Washington
    no. 49. West Virginia
    no. 50. Wisconsin-- no. 51. Wyoming.
    Digital Access CDC 1989-
    Scroll down to U.S. Decennial Life Tables for 1989 to 1991.
    Print Access Request
    Location
    Version
    Call Number
    Items
    Stored offsite. Please request print.
    RA11 .A221 1998
    51
  • Summary: "Surveillance data collected in vital registration and TB notification systems provide essential information about the TB epidemic and programmatic efforts to control the disease at both national and local levels. Analysis of these data can help programme managers and other staff to track the level of and trends in TB disease burden, detect outbreaks of disease and identify ways to improve existing TB prevention, diagnostic and treatment services. This book provides practical guidance on the analysis and use of such surveillance data, and is suitable for a wide range of people engaged in TB control. It was produced as a major collaborative effort as part of the work of the WHO's Global Task Force on TB Impact Measurement."-- back cover.

    Contents:
    Acknowledgements
    Introduction
    Abbreviations
    Chapter 1. Analysis of aggregated TB notification data
    1.1. Aggregated notification data: what are they?
    1.2. Assessment and assurance of the quality of aggregated TB notification data
    1.3. Analysis of aggregate data
    1.4. Examples of analysis of trends
    1.5. Limitations of aggregated notification data
    1.6. Summary
    References
    Annex 1. TB surveillance data quality standards with examples
    Chapter 2. Analysis of case-based TB notification data
    2.1. Case-based notification data: what they are and why are they important
    2.2. Developing an analytic plan
    2.3. Preparing the dataset
    2.4. Data analysis: conducting and interpreting descriptive analyses
    2.5. Data analysis: conducting and interpreting more complex analyses
    2.6. Communicating findings
    2.7. Conclusion
    References
    Annex 2. Analytic plan example
    Annex 3. Example of multivariable analysis to assess risk factors for loss to follow-up
    Chapter 3. Using genotyping data for outbreak investigations
    3.1. Genotyping data: an overview
    3.2. Preparation of data
    3.3. Analysing outbreaks
    3.4. Analysing large clusters
    3.5. Limitations of genotyping data
    3.6. Special considerations for genotyping in high TB burden settings
    3.7. Conclusion: using genotyping data for public health
    References. Chapter 4. Analysis of factors driving the TB epidemic
    4.1. Ecological analysis
    4.2. TB incidence
    4.3. Using ecological analysis to understand TB epidemics
    4.4. Conceptual framework for ecological analysis
    4.5. Preparing your data for analysis
    4.6. Case studies
    4.7. Conclusion
    References
    Annex 4. Which types of data should be investigated as part of TB ecological analyses?
    Annex 5. Detailed conceptual framework on how factors influence TB burden
    Chapter 5. Drug-resistant TB: analysis of burden and response
    5.1. Methodology
    5.2. Estimation of the burden of drug-resistant TB and time analysis
    5.3. Monitoring programme effectiveness
    5.4. Conclusion
    References
    Chapter 6. HIV-associated TB: analysis of burden and response
    6.1. Introduction to HIV-associated TB
    6.2. Analysis of programme data
    References
    Chapter 7. Estimating TB mortality using vital registration and mortality survey data
    7.1. Sources of mortality data
    7.2. Monitoring TB mortality among HIV-negative individuals
    7.3. Monitoring TB mortality among people living with HIV
    7.4. Mortality to notification ratio
    7.5. MDR-TB mortality
    References
    Chapter 8. Combining surveillance and survey data to estimate TB burden
    8.1. TB incidence
    8.2. TB prevalence
    8.3. TB mortality and case fatality ratio
    References
    Epilogue.
    Digital Access WHO 2014
    Print Access Request
    Location
    Version
    Call Number
    Items
    Books: General Collection (Downstairs)
    RA644.T7 U53 2014
    1
  • Digital Access
    Provider
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    Google Books
    Google Books
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    Location
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    Call Number
    Items
    Stored offsite. Please request print.
    HV5825 .E9
    2
  • Print
    Location
    Version
    Call Number
    Items
    Retired Reference Periodicals (Downstairs)
    1980/96-1997, 1999/2000.
    SHELVED AS A PERIODICAL UNDER: Data summary (Sacramento, Calif.).
  • Digital Access
    Provider
    Version
    Google Books
    Google Books
    Print Access Request
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    Stored offsite. Please request print.
    RA410.7 .F142
    3
  • Summary: Contains statistics on end stage renal disease (ESRD) such as life expenctancy following transplant, survival rates, prevalence and costs of ESRD therapy, international comparisons of ESRD, and treatment modalitites such as dialysis and hemodialysis.
    Digital Access USRDS 1994-
    Print Access Request
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    Items
    Stored offsite. Please request print.
    RA645.K5 U56
    9

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