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Understanding and Using Tuberculosis Data [Mīkstie vāki]

  • Formāts: Paperback / softback, 204 pages
  • Izdošanas datums: 05-Sep-2014
  • Izdevniecība: World Health Organization
  • ISBN-10: 9241548789
  • ISBN-13: 9789241548786
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  • Mīkstie vāki
  • Cena: 48,21 €
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  • Formāts: Paperback / softback, 204 pages
  • Izdošanas datums: 05-Sep-2014
  • Izdevniecība: World Health Organization
  • ISBN-10: 9241548789
  • ISBN-13: 9789241548786
Citas grāmatas par šo tēmu:
Country health information systems provide a rich source of data on the burden of disease caused by tuberculosis (TB) and the effectiveness of programmatic efforts to reduce this burden, both of which are crucial for public health action. However, the available data are often underused, or not used at all. At least in part, this may reflect the absence of clear guidance on recommended approaches to the analysis of such data. This handbook is designed to address this gap through detailed practical examples of the analysis of TB surveillance data, in particular TB notification data, data from surveillance of anti-TB drug resistance, and mortality data compiled in national vital registration systems. It starts from the most basic kinds of analyses, and progresses to the description of more challenging topics such as the estimation of disease burden using multiple sources of evidence, including data from special surveys.
Acknowledgements viii
Introduction x
Abbreviations xii
Chapter 1 Analysis of aggregated TB notification data
15(34)
1.1 Aggregated notification data: what are they?
16(2)
1.2 Assessment and assurance of the quality of aggregated TB notification data
18(3)
1.3 Analysis of aggregate data
21(1)
1.4 Examples of analysis of trends
22(18)
1.5 Limitations of aggregated notification data
40(1)
1.6 Summary
41(8)
References
43(1)
Annex 1 TB surveillance data quality standards with examples
44(5)
Chapter 2 Analysis of case-based TB notification data
49(34)
2.1 Case-based notification data: what they are and why are they important
50(2)
2.2 Developing an analytic plan
52(1)
2.3 Preparing the dataset
53(9)
2.4 Data analysis: conducting and interpreting descriptive analyses
62(9)
2.5 Data analysis: conducting and interpreting more complex analyses
71(2)
2.6 Communicating findings
73(2)
2.7 Conclusion
75(8)
References
76(1)
Annex 2 Analytic plan example
77(3)
Annex 3 Example of multivariable analysis to assess risk factors for loss to follow-up
80(3)
Chapter 3 Using genotyping data for outbreak investigations
83(26)
3.1 Genotyping data: an overview
84(2)
3.2 Preparation of data
86(2)
3.3 Analysing outbreaks
88(10)
3.4 Analysing large clusters
98(5)
3.5 Limitations of genotyping data
103(1)
3.6 Special considerations for genotyping in high TB burden settings
104(2)
3.7 Conclusion: using genotyping data for public health
106(3)
References
107(2)
Chapter 4 Analysis of factors driving the TB epidemic
109(22)
4.1 Ecological analysis
110(1)
4.2 TB incidence
110(2)
4.3 Using ecological analysis to understand TB epidemics
112(2)
4.4 Conceptual framework for ecological analysis
114(2)
4.5 Preparing your data for analysis
116(1)
4.6 Case studies
117(3)
4.7 Conclusion
120(11)
References
121(1)
Annex 4 Which types of data should be investigated as part of TB ecological analyses?
122(8)
Annex 5 Detailed conceptual framework on how factors influence TB burden
130(1)
Chapter 5 Drug-resistant TB: analysis of burden and response
131(38)
5.1 Methodology
132(7)
5.2 Estimation of the burden of drug-resistant TB and time analysis
139(2)
5.3 Monitoring programme effectiveness
141(24)
5.4 Conclusion
165(4)
References
166(3)
Chapter 6 HIV-associated TB: analysis of burden and response
169(14)
6.1 Introduction to HIV-associated TB
170(1)
6.2 Analysis of programme data
170(13)
References
181(2)
Chapter 7 Estimating TB mortality using vital registration and mortality survey data
183(12)
7.1 Sources of mortality data
184(2)
7.2 Monitoring TB mortality among HIV-negative individuals
186(4)
7.3 Monitoring TB mortality among people living with HIV
190(2)
7.4 Mortality to notification ratio
192(1)
7.5 MDR-TB mortality
192(3)
References
194(1)
Chapter 8 Combining surveillance and survey data to estimate TB burden
195(10)
8.1 TB incidence
196(3)
8.2 TB prevalence
199(2)
8.3 TB mortality and case fatality ratio
201(4)
References
204(1)
Epilogue 205