000 | 04918cam a2200385 i 4500 | ||
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001 | 18490559 | ||
005 | 20250129033406.0 | ||
008 | 150212s2014 sz abd bs i000 0 eng | ||
010 | _a 2015380424 | ||
020 | _a9789241548786 | ||
020 | _a9241548789 | ||
035 | _a(OCoLC)ocn897868764 | ||
035 | _a(OCoLC)897868764 | ||
040 |
_aAU@ _beng _cAU@ _erda _dOCLCO _dBTCTA _dTPH _dIXA _dNJR _dDLC |
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042 | _alccopycat | ||
060 | 1 | 4 |
_aWF 200 _bU554 2014 |
245 | 0 | 0 |
_aUnderstanding and using tuberculosis data / _cWorld Health Organization. |
264 | 1 |
_aGeneva, Switzerland : _bWorld Health Organization, _c[2014] |
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300 |
_axi, 204 pages : _bcolor illustrations, color charts, maps (some color) ; _c24 cm |
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336 |
_atext _2rdacontent _btxt |
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337 |
_aunmediated _2rdamedia _bn |
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338 |
_2rdacarrier _avolume _bnc |
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504 | _aIncludes bibliographical references. | ||
505 | 0 | 0 |
_tAcknowledgements -- _tIntroduction -- _tAbbreviations -- _gChapter 1. _tAnalysis of aggregated TB notification data -- _g1.1. _tAggregated notification data: what are they? -- _g1.2. _tAssessment and assurance of the quality of aggregated TB notification data -- _g1.3. _tAnalysis of aggregate data -- _g1.4. _tExamples of analysis of trends -- _g1.5. _tLimitations of aggregated notification data -- _g1.6. _tSummary -- _gReferences -- _gAnnex 1. _tTB surveillance data quality standards with examples -- _gChapter 2. _tAnalysis of case-based TB notification data -- _g2.1. _tCase-based notification data: what they are and why are they important -- _g2.2. _tDeveloping an analytic plan -- _g2.3. _tPreparing the dataset -- _g2.4. _tData analysis: conducting and interpreting descriptive analyses -- _g2.5. _tData analysis: conducting and interpreting more complex analyses -- _g2.6. _tCommunicating findings -- _g2.7. _tConclusion -- _gReferences -- _gAnnex 2. _tAnalytic plan example -- _gAnnex 3. _tExample of multivariable analysis to assess risk factors for loss to follow-up -- _gChapter 3. _tUsing genotyping data for outbreak investigations -- _g3.1. _tGenotyping data: an overview -- _g3.2. _tPreparation of data -- _g3.3. _tAnalysing outbreaks -- _g3.4. _tAnalysing large clusters -- _g3.5. _tLimitations of genotyping data -- _g3.6. _tSpecial considerations for genotyping in high TB burden settings -- _g3.7. _tConclusion: using genotyping data for public health -- _gReferences. |
505 | 0 | 0 |
_gChapter 4. _tAnalysis of factors driving the TB epidemic -- _g4.1. _tEcological analysis -- _g4.2. _tTB incidence -- _g4.3. _tUsing ecological analysis to understand TB epidemics -- _g4.4. _tConceptual framework for ecological analysis -- _g4.5. _tPreparing your data for analysis -- _g4.6. _tCase studies -- _g4.7. _tConclusion -- _gReferences -- _gAnnex 4. _tWhich types of data should be investigated as part of TB ecological analyses? -- _gAnnex 5. _tDetailed conceptual framework on how factors influence TB burden -- _gChapter 5. _tDrug-resistant TB: analysis of burden and response -- _g5.1. _tMethodology -- _g5.2. _tEstimation of the burden of drug-resistant TB and time analysis -- _g5.3. _tMonitoring programme effectiveness -- _g5.4. _tConclusion -- _gReferences -- _gChapter 6. _tHIV-associated TB: analysis of burden and response -- _g6.1. _tIntroduction to HIV-associated TB -- _g6.2. _tAnalysis of programme data -- _gReferences -- _gChapter 7. _tEstimating TB mortality using vital registration and mortality survey data -- _g7.1. _tSources of mortality data -- _g7.2. _tMonitoring TB mortality among HIV-negative individuals -- _g7.3. _tMonitoring TB mortality among people living with HIV -- _g7.4. _tMortality to notification ratio -- _g7.5. _tMDR-TB mortality -- _gReferences -- _gChapter 8. _tCombining surveillance and survey data to estimate TB burden -- _g8.1. _tTB incidence -- _g8.2. _tTB prevalence -- _g8.3. _tTB mortality and case fatality ratio -- _gReferences -- _tEpilogue. |
520 | _a"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. | ||
530 | _aAlso available online. | ||
650 | 0 |
_aTuberculosis _vStatistics. |
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650 | 0 |
_aTuberculosis _xEpidemiology. |
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650 | 0 |
_aPublic health surveillance _xStatistical methods. |
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710 | 2 |
_aWorld Health Organization, _eauthor. _9438 |
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856 | 4 | 1 | _uhttps://www.who.int/publications/i/item/9789241548786 |
942 |
_2ddc _cBK |
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999 |
_c641 _d641 |