Cargando…

Understanding and Using Tuberculosis Data

Country health information systems provide a rich source of data on the burden of diseasecaused by tuberculosis (TB) and the effectiveness of programmatic efforts to reduce thisburden both of which are crucial for public health action. However the available dataare often underused or not used at all...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Organization, World Health
Otros Autores: World Health Organization (Contribuidor, Corporate Author., Content Provider.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Geneva : World Health Organization, 2014.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mu 4500
001 EBOOKCENTRAL_on1162344962
003 OCoLC
005 20240329122006.0
006 m d
007 cr |||||||||||
008 140929s2014 sz o ||| 0 eng d
010 |z  2015380424 
040 |a VLY  |b eng  |c VLY  |d DOS  |d EBLCP  |d DEBSZ  |d CUI  |d YDXCP  |d IDEBK  |d MERUC  |d CEF  |d AU@  |d OCLCO  |d VT2  |d OCLCA  |d OCLCQ  |d INARC  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCA  |d OCLCQ  |d OCLCO 
016 7 |a 016968957  |2 Uk 
019 |a 889633863  |a 900017559  |a 1044602264  |a 1060926286  |a 1073053651  |a 1235824650  |a 1280705217 
020 |a 9240693254 
020 |a 9789240693258 
020 |a 9789241548786 
020 |a 9241548789 
029 1 |a AU@  |b 000056010624 
029 1 |a DEBSZ  |b 431785384 
035 |a (OCoLC)1162344962  |z (OCoLC)889633863  |z (OCoLC)900017559  |z (OCoLC)1044602264  |z (OCoLC)1060926286  |z (OCoLC)1073053651  |z (OCoLC)1235824650  |z (OCoLC)1280705217 
050 4 |a RA644.T7 .U384 2014 
055 5 |a RA* 
060 4 |a 2015 E-893 
060 4 |a WF 16 
082 0 4 |a 616.109234 
049 |a UAMI 
100 1 |a Organization, World Health. 
245 1 0 |a Understanding and Using Tuberculosis Data  |h [electronic resource]. 
260 |a Geneva :  |b World Health Organization,  |c 2014. 
300 |a 1 online resource (205 p.) 
336 |a text  |b txt 
337 |a computer  |b c 
338 |a online resource  |b cr 
500 |a Description based upon print version of record. 
505 0 |a 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; Data validation at data entry; Data validation after data entry; 1.3 Analysis of aggregate data; Rationale for analysis of trends; 1.4 Examples of analysis of trends; Notifications by time; Notifications by age; Notifications by sex; Notifications by place; Notifications by place and time; reasons for changes in notification rates over time 
505 8 |a 1.5 Limitations of aggregated notification data1.6 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; Steps in case-based data analyses; 2.2 Developing an analytic plan; 2.3 Preparing the dataset; Data cleaning; Addressing missing data; Identifying outliers; De-duplication of datasets; Re-coding variables 
505 8 |a Linking datasets Sex Age (years) (Original, Continuous Variable Age Group (Recoded, Categorical Variable 0-25 years=1 26-50 years=2 >50 years=3 Height (m) (Original, Continuous Variable) Weight (kg) (Original, Continuous Variable) BMIFinalizing the dataset; 2.4 Data analysis: conducting and interpreting descriptive analyses; Univariate and bivariate analyses; Rates and trends; Other descriptive analyses; Other types of information used for further examination of data; 2.5 Data analysis: conducting and interpreting more complex analyses; 2.6 Communicating findings; 2.7 Conclusion; References 
505 8 |a Annex 2 Analytic plan exampleAnnex 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; Introduction; Purpose and uses of genotyping; Intended audience; 3.2 Preparation of data; Differentiating TB strains; Identifying and naming clusters; 3.3 Analysing outbreaks; Excluding false-positive cases; Epidemiological links; Drug resistance patterns; Previous episodes of TB; Presenting epidemiological links between cases; 3.4 Analysing large clusters 
505 8 |a Displaying time, person and place3.5 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; What can be explained with ecological analysis?; 4.2 TB incidence; 4.3 Using ecological analysis to understand TB epidemics; 4.4 Conceptual framework for ecological analysis; What if certain key information is unavailable for all domains?; How should we prioritize the domains and indicators to include? 
500 |a What if there are no data on something that experts deem as important? 
520 |a Country health information systems provide a rich source of data on the burden of diseasecaused by tuberculosis (TB) and the effectiveness of programmatic efforts to reduce thisburden both of which are crucial for public health action. However the available dataare often underused or not used at all. At least in part this may reflect the absence ofclear guidance on recommended approaches to the analysis of such data. This handbookis designed to address this gap through detailed practical examples of the analysis of TBsurveillance data in particular TB notification data data from surveillance o. 
546 |a English. 
504 |a Includes bibliographical references. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Tuberculosis  |x Epidemiology  |v Statistics. 
650 0 |a Tuberculosis  |x Statistical methods. 
650 0 |a Public health surveillance. 
650 0 |a Mycobacterial diseases. 
650 0 |a Decision making  |x Mathematical models. 
650 0 |a Statistics. 
650 0 |a Public health. 
650 0 |a Medical informatics. 
650 0 |a Medicine  |x Data processing. 
650 0 |a Medical personnel. 
650 0 |a Gram-positive bacterial infections. 
650 0 |a Bacterial diseases. 
650 0 |a Medical care. 
650 0 |a Diseases. 
650 0 |a Tuberculosis. 
650 0 |a Epidemiology. 
650 2 |a Mycobacterium Infections 
650 2 |a Decision Support Techniques 
650 2 |a Publication Formats. 
650 2 |a Statistics as Topic 
650 2 |a Public Health 
650 2 |a Epidemiologic Methods 
650 2 |a Medical Informatics Applications 
650 2 |a Publication Characteristics. 
650 2 |a Investigative Techniques. 
650 2 |a Medicine 
650 2 |a Actinomycetales Infections 
650 2 |a Health Care Evaluation Mechanisms 
650 2 |a Quality of Health Care 
650 2 |a Analytical, Diagnostic and Therapeutic Techniques and Equipment. 
650 2 |a Health Occupations 
650 2 |a Medical Informatics 
650 2 |a Gram-Positive Bacterial Infections 
650 2 |a Bacterial Infections 
650 2 |a Environment and Public Health. 
650 2 |a Information Science 
650 2 |a Health Care Quality, Access, and Evaluation. 
650 2 |a Disciplines and Occupations. 
650 2 |a Delivery of Health Care 
650 2 |a Bacterial Infections and Mycoses. 
650 2 |a Disease 
650 2 |a Data Interpretation, Statistical 
650 2 |a Statistics. 
650 2 |a Tuberculosis 
650 2 |a Epidemiology 
650 2 |a Health Personnel 
650 2 |a Health Workforce 
650 2 |a Tuberculosis, Pulmonary 
650 2 |a Patient Care 
650 4 |a Tuberculosis -- Epidemiology. 
650 4 |a Tuberculosis -- Statistics. 
650 4 |a Tuberculosis. 
650 6 |a Tuberculose  |x Épidémiologie  |v Statistiques. 
650 6 |a Tuberculose  |x Méthodes statistiques. 
650 6 |a Santé publique  |x Surveillance. 
650 6 |a Mycobactérioses. 
650 6 |a Prise de décision  |x Modèles mathématiques. 
650 6 |a Statistiques. 
650 6 |a Santé publique. 
650 6 |a Médecine  |x Informatique. 
650 6 |a Personnel médical. 
650 6 |a Infections à bactéries Gram positives. 
650 6 |a Maladies bactériennes. 
650 6 |a Prestation de soins. 
650 6 |a Maladies. 
650 6 |a Tuberculose. 
650 6 |a Épidémiologie. 
650 6 |a Statistique. 
650 6 |a Soins médicaux. 
650 7 |a public health.  |2 aat 
650 7 |a illness.  |2 aat 
650 7 |a disease.  |2 aat 
650 7 |a statistics.  |2 aat 
650 7 |a Public health surveillance  |x Statistical methods  |2 fast 
650 7 |a Tuberculosis  |2 fast 
650 7 |a Tuberculosis  |x Epidemiology  |2 fast 
650 7 |a Public Health.  |2 hilcc 
650 7 |a Health & Biological Sciences.  |2 hilcc 
650 7 |a Communicable Diseases.  |2 hilcc 
653 |a Tuberculosis. 
655 7 |a Statistics  |2 fast 
700 1 |a World Health Organization  |e Contributor. 
710 2 |a World Health Organization,  |e Corporate Author. 
710 2 |a World Health Organization,  |e Content Provider. 
776 |z 92-4-154878-9 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1794219  |z Texto completo 
938 |a EBL - Ebook Library  |b EBLB  |n EBL1794219 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n cis29833622 
938 |a YBP Library Services  |b YANK  |n 12092903 
938 |a Internet Archive  |b INAR  |n understandingusi0000unse_g1q3 
994 |a 92  |b IZTAP