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DELIVERY OF
BOOKS
The delivery time for books varies with the different
suppliers, so we are unable to give a specific delivery time. If
in stock it will be approximately 5 days, if not in stock 2 to 3
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Epidemiology
by Leon Gordis |
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Cat.# EL-EPI6 |
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Published: 2008
ISBN: 9781416040026 |
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This popular book is written by the award-winning
teacher, Dr. Leon Gordis of the Bloomberg School of Public
Health at Johns Hopkins University. He introduces the
basic principles and concepts of epidemiology in clear,
concise writing and his inimitable style. This book
provides an understanding of the key concepts in the
following 3 fully updated sections: Section I: The
Epidemiologic Approach to Disease and Intervention;
Section II: Using Epidemiology to Identify the Causes of
Disease; Section III: Applying Epidemiology to Evaluation
and Policy. Clear, practical graphs and charts, cartoons,
and review questions with answers reinforce the text and
aid in comprehension.
- Utilizes new full-color format to enhance
readability and clarity.
- Provides new and updated figures, references and
concept examples to keep you absolutely current - new
information has been added on Registration of Clinical
Trials, Case-Cohort Design,
- Case-Crossover Design, and Sources and Impact of
Uncertainty ( disease topics include: Obesity, Asthma,
Thyroid Cancer, Helicobacter Pylori and gastric/duodenal
ulcer and gastric cancer, Mammography for women in their
forties) – expanded topics include Person-time.
- Includes STUDENT CONSULT access, allowing you to: o
Access the complete contents of the book online,
anywhere you go…perform quick searches…and add your own
notes and bookmarks. 1. Test yourself with the additional
TEST BANK including 200 MCQs, plus complete rationales
for all self-assessment Q&A in the print book. . 2. Reference all other STUDENT CONSULT titles you own
online, too—all in one place!
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Quantitative Methods for Health Research:
A Practical Interactive Guide to Epidemiology
and Statistics
by Nigel Bruce, Daniel Pope, and Debbi
Stanistreet |
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Cat.# JW-EPI7 |
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Published: 2008
ISBN: 9780470022757 |
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Quantitative Research Methods for Health Professionals:
A Practical Interactive Course is a superb introduction to
epidemiology, biostatistics, and research methodology for
the whole health care community.
Drawing examples from a wide range of health research,
this practical handbook covers important contemporary
health research methods such as survival analysis, Cox
regression, and meta-analysis, the understanding of which
go beyond introductory concepts.
The book includes self-assessment exercises throughout to
help students explore and reflect on their understanding
and a clear distinction is made between a) knowledge and
concepts that all students should ensure they understand
and b) those that can be pursued by students who wish to
do so.
The authors incorporate a program of practical exercises
in SPSS using a prepared data set that helps to
consolidate the theory and develop skills and confidence
in data handling, analysis and interpretation. |
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Novel
and Re-emerging Respiratory Viral Diseases
by Novartis |
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Cat.# JW-EPI8 |
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Published: 2008
ISBN: 9780470065389 |
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The past decade has seen mounting global concern
regarding viral outbreaks such as SARS, avian influenza
and West Nile virus. In 2004 and 2005, reports of
bird-to-human, and possible human-to-human, transmissions
of the H5N1 influenza viruses raised fears that these
viruses could cause a pandemic on the scale of the Spanish
flu pandemic of 1918. Previous to this, a novel
coronavirus had been identified as the aetiological agent
of the severe acute respiratory syndrome (SARS), a new
respiratory viral disease that emerged at the end of 2002
and caused profound disturbances in over 30 countries
worldwide in 2003. It is not known whether the SARS
coronavirus will re-emerge, especially since its origins
and potential reservoir(s) are unresolved. However, these
outbreaks have shown that these viruses can emerge in any
part of the world at any time.
This book critically evaluates the latest scientific
evidence on novel or re-emerging viral diseases and brings
together contributions from world experts on this topic,
explaining best practice in their area, and discussing
lessons learned and how best to collaborate to prevent and
control future outbreaks.
Topics covered include:
- the latest advances in virology, particularly in the
area of epidemiology
- diagnostics
- animal models for viral infection
- antiviral and vaccine development
Novel and Re-emerging Respiratory Viral Diseases offers
a comprehensive and interdisciplinary account of all
aspects of the topic, from basic molecular biology to
public health issues, and is therefore essential reading
for virologists, infectious disease specialists, public
health managers, researchers and epidemiologists, as well
as those working in vaccine development, pharmaceutical
medicine and drug discovery
Table of Contents:
Robert G. Webster Chair’s introduction
Larry J. Anderson and Suxiang Tong
Identification and characterization of novel viruses
Discussion
Edward C. Holmes
The evolution of viral emergence
Discussion
Derek J. Smith, Jan C. de Jong, Alan S. Lapedes, Terry C.
Jones, Colin A. Russell, Theo M. Bestebroer, Guus F.
Rimmelzwaan, Albert D. M. E. Osterhaus and Ron A. M.
Fouchier
Antigenic cartography of human and swine influenza A
(H3N2) viruses
Discussion
Gabriele Neumann and Yoshihiro Kawaoka
Influenza pandemics and control
Discussion
J. J. Skehel, S. Wharton, L. Calder and D. Stevens
On the activation of membrane fusion by influenza
haemagglutinin
Discussion
Yee Sin Leo
Singapore SARS experience and preparation for future
outbreak
Discussion
Yee-Joo Tan
SARS lessons for a young virology laboratory in Singapore
Discussion
Ih-Jen Su
How the SARS experience has helped preparations for future
outbreaks: the Taiwan experience, with emphasis on the
successful control of institutional outbreak of influenza
in 2003/2004 using a stockpile of antivirals
Discussion
General discussion I
Yuelong Shu, Yu Lan, Leying Wen, Ye Zhang, Jie Dong,
Xinsheng Zhao, Dayan Wang, Lihong Yao, Xiyan Li, Wei Wang,
Xiuping Wang, Qi Wang, Shumin Duan, Jingjing Huang, Lei
Yang, Hongjie Yu, Yuanji Guo, Weizhong Yang, Xiyan Xu,
Nancy J. Cox, Xiaoping Dong, Yu Wang and Dexin Li
Genetic and antigenic characterization of avian influenza
A (H5N1) viruses isolated from humans in Mainland China
Discussion
J. S. M. Peiris and Y. Guan
Emerging infectious diseases and the animal–human
interface
Discussion
Erich Hoffmann, Hui-Ling Yen, Rachelle Salomon, Neziha
Yilmaz and Robert G. Webster
Transmission and pathogenicity of H5N1 influenza viruses
Discussion
John M. Wood
Development of vaccine for a future influenza pandemic
Discussion
Final discussion
Index of contributors
Subject index |
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Molecular Epidemiology of Chronic Diseases
by Chris Wild, Paolo Vineis, and Seymour Garte |
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Cat.# JW-EPI9 |
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Published: 2008
ISBN: 9780470027431 |
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With the sequencing of the human genome and the mapping
of millions of single nucleotide polymorphisms,
epidemiology has moved into the molecular domain.
Scientists can now use molecular markers to track
disease-associated genes in populations, enabling them to
study complex chronic diseases that might result from the
weak interactions of many genes with the environment. Use
of these laboratory generated biomarker data and an
understanding of disease mechanisms are increasingly
important in elucidating disease aetiology.
Molecular Epidemiology of Disease crosses the disciplinary
boundaries between laboratory scientists, epidemiologists,
clinical researchers and biostatisticians and is
accessible to all these relevant research communities in
focusing on practical issues of application, rather than
reviews of current areas of research.
- Covers categories of biomarkers of exposure,
susceptibility and disease
- Includes chapters on novel technologies: genomics,
transcriptomics, proteomics and metabonomics, which are
increasingly finding application in population studies
- Emphasizes new statistical and bioinformatics
approaches necessitated by the large data sets generated
using these new methodologies
- Demonstrates the potential applications of
laboratory techniques in tackling epidemiological
problems while considering their limitations, including
the sources of uncertainty and inaccuracy
- Discusses issues such as reliability (compared to
traditional epidemiological methods) and the timing of
exposure
- Explores practical elements of conducting population
studies, including biological repositories and ethics
Molecular Epidemiology of Disease provides an
easy-to-use, clearly presented handbook that allows
epidemiologists to understand the specifics of research
involving biomarkers, and laboratory scientists to
understand the main issues of epidemiological study design
and analysis. It also provides a useful tool for courses
on molecular epidemiology, using many examples from
population studies to illustrate key concepts and
principles.
Table of Contents:
Contributors
Artist statement
Acknowledgements
1. Introduction: why molecular epidemiology
References
2. Study design
2.1. Introduction: study design at square one
2.2. Epidemiological measures
2.3. Bias
Bias in screening practices
2.4. More on confounding
2.5. Specificities of molecular epidemiology design
Special designs in molecular epidemiology
Bias
Selection bias related to sample collection
Confounding and population admixture
Mendelian randomization
2.6. Conclusions
References
Essential reading
3. Molecular epidemiological studies that can be nested
within cohorts
3.1. Introduction
3.2. Case-cohort studies
Design and calculable measures of effect
Case-cohort designs offer flexibility
Analytical complexity
3.3. Nested case-control studies
Design and calculable measures of effect
Matching
Counter-matching
Individuals may be included in the analyses multiple times
3.4. Considerations regarding biomarker analyses in
case-cohort and nested case-control studies
Batch effects
Batch effects and case-cohort studies
Batch effects and nested case-control studies
Storage effects
Storage effects and case-cohort studies
Storage effects and nested case-control studies
Freeze-thaw cycles
Freeze-thaw cycles and case-cohort studies
Freeze-thaw cycles and nested case-control studies
3.5. Conclusion
References
4. Family studies, haplotypes and gene association studies
4.1. Introduction
4.2. Family studies
Is there an increased risk of disease in relatives of
cases?
Is the familial aggregation due to genes or environment?
What is the genetic mechanism?
Where is the gene?
Linkage analysis
Example
4.3. Genetic association studies
Genetic case-control studies
Bias and confounding
Family-based study designs
Haplotypes
Reconstructing haplotypes
Association studies with haplotypes
SNP selection
Whole-genome association studies
4.4. Discussion
References
5. Individual susceptibility and gene-environment
interaction
5.1. Individual susceptibility
5.2. Genetic susceptibility
5.3. Metabolic susceptibility genes
5.4. Study designs
5.5. Gene-environment interaction
5.6. Exposure dose effects in gene-environment
interactions
5.7. Mutational effects of gene-environment interactions
5.8. Conclusions
References
6. Biomarker validation
6.1. Validity and reliability
6.2. Biomarker variability
6.3. Measurement of variation
6.4. Other issues of validation
6.5. Measurement error
Sources of laboratory measurement error
6.6. Blood collection for biomarkers
6.7. Validation of high-throughput techniques
References
7. Exposure assessment
7.1. Introduction
7.2. Initial considerations of an exposure assessment
strategy
7.3. Exposure pathways and routes
7.4. Exposure dimensions
7.5. Exposure classification, measurement or modelling
7.6. Retrospective exposure assessment
7.7. Validation studies
7.8. Quality control issues
References
8. Carcinogen metabolites as biomarkers
8.1. Introduction
8.2. Overview of carcinogen metabolism
8.3. Examples of carcinogen metabolite biomarkers
Total NNAL (NNAL plus its glucuronides): an established
biomarker of exposure to the tobacco-specific lung
carcinogen NNK
Phenanthrene metabolites: developing biomarkers of PAH
exposure and metabolism
Other examples of carcinogen metabolite biomarkers
8.4. Summary
Acknowledgement
References
9. Biomarkers of exposure: adducts
9.1. Introduction
9.2. Methods for adduct detection
9.3. Adducts identified in human tissue
Sources of DNA for biomonitoring
9.4. Adducts as biomarkers of occupational and
environmental exposure to carcinogens
9.5. Smoking-related adducts
9.6. DNA adducts in prospective studies
DNA adducts in human DNA repair studies
Correlations between DNA and protein adducts
9.7. Conclusions
References
10. Biomarkers of mutation and DNA repair capacity
10.1. Introduction
10.2. Classification of mutations
10.3. Mutations in molecular epidemiology
10.4. DNA repair
10.5. Classes of DNA repair
10.6. Common assays to measure DNA repair capacity
Cellular biomarkers for DNA repair
Assays based on induced DNA damage
Mutagen sensitivity assay
Comet assay
Unscheduled DNA synthesis (UDS)
Host cell reactivation assay
Other assays
OGG activity
Combination studies
10.7. Integration of DNA repair assays into
epidemiological studies
Study design
Assay variability
Biological plausibility
10.8. Genetic markers for DNA repair capacity
References
11. High-throughput techniques - genotyping and genomics
11.1. Introduction
11.2. Background
11.3. SNP databases
11.4. Study types
11.5. Study design
11.6. Genotyping technologies
11.7. Sample and study management and QC
DNA extraction and normalization
DNA arraying
Robotics and plate sealing
QC steps
11.8. After the association has been proved - what next?
References
12. Proteomics and molecular epidemiology
12.1. Introduction
12.2. General considerations
12.3. Sample selection
12.4. Proteomics technologies
Protein identification using mass spectrometry
Sample fractionation
Sample enrichment
Sample depletion
Quantification of proteins and peptides
Validation
12.5. Illustrative applications
12.6. Final considerations
References
13. Exploring the contribution of metabolic profiling to
epidemiological studies
13.1. Background
13.2. Cancer
13.3. Cardiovascular disease
13.4. Neurodegenerative disorders
13.5. The way forward
Acknowledgements
References
14. Univariate and multivariate data analysis
14.1. Introduction
Overview
Terminology and definitions
A priori model assumptions
Initial data exploration
14.2. Univariate analysis
Simple linear regression
Multiple linear regression
Path diagram
Simple linear regression
Multiple linear regression
14.3. Generalized linear models
14.4. Multivariate methods
Multilevel modelling (MLM)
Structural equation modelling (SEM)
Latent growth curve modelling (LGCM)
Flexibility of LGCM
14.5. Conclusions
Acknowledgements
References
15. Meta-analysis and pooled analysis - genetic and
environmental data
15.1. Introduction
15.2. Meta analysis
Database searching, eligibility criteria and data
extraction
Graphical summaries
Summary estimates and assessment of heterogeneity
Assessing publication bias
15.3. Pooled analysis
15.4. Issues in pooled analysis of epidemiological studies
involving molecular markers
Choice of study design
Planning of the study
Selection of studies
Data request
Evaluation of the validity of the study
Data standardization
Heterogeneity among studies
Publication bias
Ethical issues
References
16. Analysis of complex datasets
16.1. Introduction
16.2. Gene-environment interaction
16.3. Gene-gene interaction
16.4. Statistical interaction
Detecting statistical patterns of interaction
Decision trees, classification trees and random forests
Multifactor dimensionality reduction (MDR)
Statistical interpretation of interaction models
16.5. Case study: bladder cancer
16.6. Genome-wide analysis
A filter strategy for genome-wide analysis
A wrapper strategy for genome-wide analysis
16.7. Summary
Acknowledgements
References
17. Some implications of random exposure measurement
errors in occupational and environmental epidemiology
17.1. Introduction
17.2. Individual-based study
Regression analysis
Estimating sample sizes for a specified bias
17.3. Group-based studies
Exposure model with a random group effect
Health-outcome model
Regression analysis
Estimating sample sizes
Adjusting estimated regression coefficients for
attenuation bias
17.4. Comparing biases for individual-based and
group-based studies
17.5. Conclusions
Acknowledgement
References
18. Bioinformatics
18.1. Introduction
18.2. Database resources
18.3. Data analysis
Data mining using R
Data mining using Weka
Data mining using Orange
Data mining using multifactor dimensionality reduction
Interpreting data mining results
18.4. The future
Acknowledgements
References
19. Biomarkers, disease mechanisms and their role in
regulatory decisions
19.1. Introduction
19.2. Hazard identification and standard setting
19.3. Risk characterization: individuals and populations
19.4. Monitoring and surveillance
19.5. What to regulate: exposures or people’s access to
them?
19.6. Conclusion
References
20. Biomarkers as endpoints in intervention studies
20.1. Introduction: why are biomarkers needed in
intervention studies?
20.2. Identification and validation of biomarkers
20.3. Use of biomarkers in making health claims
20.4. Biomarkers of study compliance
20.5. Biomarkers that predict the risk of disease
20.6. Biomarkers relevant to more than one disease
Oxidative stress
Inflammation
Cancer
Cardiovascular disease
Diabetes
20.6. Biomarkers that predict the optimization of health
or performance
20.7. Conclusions
References
21. Biological resource centres in molecular epidemiology:
collecting, storing and analysing biospecimens
21.1. Introduction
21.2. Obtaining and collecting biospecimens
Planning a collection
Types of biospecimens
Collecting biospecimens
21.3. Annotating, storing and processing biospecimens
Identifying biospecimens
Storage facilities
Labelling
Conditions of storage
Laboratory processing and shipping
BRC database
Quality assurance and quality control
21.4. Analysing biomarkers
21.5. Conclusions
References
22. Molecular epidemiology and ethics: biomarkers for
disease susceptibility
22.1. Introduction
22.2. Ethical aspects in biomarker development for disease
susceptibility
Variation of biomarkers
Ethical aspects of genetic biomarkers for susceptibility
Quality of research
22.3. Ethical aspects of biobanking
Management of biobanks
Consent practice
Storage and distribution of samples and data
Populations, individuals and autonomy
22.4. Molecular epidemiology and society
Science, money and public trust
Communication
Education in ethics
22.5. Conclusions
Acknowledgements
References
23. Biomarkers for dietary carcinogens: the example of
heterocyclic amines in epidemiological studies
23.1. Introduction
23.2. Intake assessment of HCAs
23.3. HCA metabolism
Urinary biomarkers as a measure of internal exposure
Adducts as a measure of biologically effective dose
23.4. Conclusions and future research
References
24. Practical examples 2: Hormones
24.1. Introduction
24.2. Hormone measurements for large-scale epidemiological
studies
24.3. Laboratory methods
Reference methods
Direct immunoassays
24.4. Validation and reproducibility of hormone
measurements
24.5. Sample collection and long-time storage
24.6. Does a single hormone measurement represent
long-term exposure?
24.7. Interpretation of measurements of circulating
hormones
24.8. Conclusions
References
25. Aflatoxin, hepatitis B virus and liver cancer: a
paradigm for molecular epidemiology
25.1. Introduction
25.2. Defining molecular biomarkers
25.3. Validation strategy for molecular biomarkers
25.4. Development and validation of biomarkers for human
hepatocellular carcinoma
Early aetiological studies of aflatoxin, HBV and HCC
Development of methodologies for measuring biomarkers
Relationship of aflatoxin biomarkers to exposure and
disease in experimental animals
Modulation of biomarkers and disease in animal
chemoprevention studies
Validation of aflatoxin biomarkers in cross-sectional
studies in human populations
Longitudinal study of biomarkers in humans
Case-control and cohort studies
Clinical trials for reducing aflatoxin exposure and
internal dose
25.5. Susceptibility
25.6. Biomarkers to elucidate mechanisms of interaction
25.7. Early detection biomarkers for HCC
25.8. Summary and perspectives for the future
Acknowledgements
References
26. Complex exposures - Air Pollution
26.1. Introduction
26.2. Personal monitoring of external dose
26.3. Biomarkers of internal dose and air pollutants
PAH metabolites
Benzene and metabolites
26.4. Biomarkers of biologically effective dose
Mechanisms of oxidative stress induced by particles and
other air pollutants
Oxidative stress-induced DNA damage and repair
Air pollution exposure and biomarkers of oxidative stress
and DNA damage
26.5. Biomarkers of biological effects
Inflammation
Cell damage
Gene expression
Cytogenetic markers
Mutations
26.6. Genetic susceptibility and oxidative stress related
to air pollution
26.7. Conclusion
Acknowledgements
References
Index |
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Avian
Influenza
by David E. Swayne |
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Cat.# JW-EPI10 |
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Published: 2008
ISBN: 9780813820477 |
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Avian Influenza provides the first comprehensive guide
covering the full spectrum of this complex and
increasingly high-profile disease, its history and its
treatment and control. All aspects of avian influenza are
dealt with in depth, systematically covering biology,
virology, diagnostics, ecology, epidemiology, clinical
medicine, and the control. The book fuses coverage of the
latest discoveries in the basic sciences with a practical
approach to dealing with the disease in a clinical
setting, and providing instruction and guidance for
veterinarians and government animal health officials
encountering this disease in the field.
Avian Influenza provides the reader with a global
perspective, bringing together chapters written by leading
animal health researchers and veterinarians with
significant experience working with this disease.
Providing a summary and synthesis of important data and
research on this virus, its impact on both wild and
domesticated birds, and approaches to controlling the
spread of the disease, Avian Influenza will be an
invaluable resource for all veterinarians, scientists,
animal health professionals, and public health officials
dealing with this virus.
- Covers full range of topics within avian influenza
in one comprehensive and authoritative text
- Provides a summarization of peer-reviewed and
empirical data on avian influenza viruses, the infection
and diseases they cause
- Discusses strategies used in control of the disease
- Leading experts are drawn together to provide an
international and multi-disciplinary perspective
- Fuses latest developments in basic scientific
research with practical guidance on management of the
disease
Table of Contents:
Contributors List
Foreword
Preface
1. Influenza A Virus
2. Molecular Determinants of Pathogenicity for Avian
Influenza Viruses
3. Ecology of Avian Influenza in Wild Birds
4. Epidemiology of Avian Influenza in Agricultural and
Other Man-Made Systems
5. Pathobiology of Avian Influenza Virus Infections in
Birds and Mammals
Color Plate Section
6. The Global Nature of Avian Influenza
7. The Beginning and Spread of Fowl Plague (H7 High
Pathogenicity Avian Influenza) Across Europe and Asia
(1878-1955)
8. High Pathogenicity Avian Influenza in the Americas
9. Highly Pathogenic Avian Influenza Outbreaks in Europe,
Africa and Asia since 1959, Excluding the Asian H5N1 Virus
Outbreaks
10. Avian Influenza in Australia
11. Multi-Continental Epidemic of H5N1 High Pathogenicity
Avian Influenza Virus (1996-2007)
12. Avian Influenza Control Strategies
13. Avian Influenza Diagnostics and Surveillance Methods
14. Humane Mass Depopulation as an Effective Measure For
Disease Control Purposes
15. Methods for Disposal of Poultry Carcasses
16. Farm and Regional Biosecurity Practices
17. Farm Biosecurity Risk Assessment and Audits
18. Methods for Inactivation of Avian Influenza Virus in
the Environment
19. Vaccines, Vaccination and Immunology for Avian
Influenza Viruses in Poultry
20. Public Health Implications of Avian Influenza Viruses
21. The Role of Educational Programs in the Control of
Avian Influenza
22. Trade and Food Safety Aspects for Avian Influenza
Viruses
23. Control of Low Pathogenicity Avian Influenza
24. The Economics of Avian Influenza
25. Global Strategy for Highly Pathogenic Avian Influenza:
Progressive Control and Eradication, and Post-Outbreak
Recovery
Index |
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Handbook
of Tuberculosis:
Clinics, Diagnostics, Therapy, and
Epidemiology
by Stefan H. E. Kaufmann, and Paul van Helden |
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Cat.# JW-EPI11 |
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Published: 2008
ISBN: 9783527318889 |
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Tuberculosis (TB), a deadly airborne disease caused by
the bacterium Mycobacterium tuberculosis, takes the lives
of almost 2 million people each year and is considered to
be the most common infectious disease in the world.
However, thanks to the efforts of researchers such as the
volumes’ lead editor, Dr. Stefan H. E. Kaufmann, there
have been several recent advances in fighting the disease.
Dr. Stefan Kaufmann, the Founding Director of the Max
Planck Institute for Infection Biology in Berlin and
Professor of Microbiology and Immunology at the Charité at
the Humboldt University, Berlin, has published more than
600 scientific articles and currently serves as President
of the European Federation of Immunological Societies and
Chair of the Immunology Division of the American Society
of Microbiology. Dr. Kaufmann is considered the world's
leading expert in the field of tuberculosis.
The Handbook of Tuberculosis, which explores the causes
and available treatments of the widespread infection as
well as current research into vaccination, is divided into
three separate volumes covering different areas of study.
Each volume provides an essential resource to molecular
and cell biologists, bacteriologists, immunologists,
pathologists and pathophysiologists, clinicians and those
working in the pharmaceutical industry and interested in
world health.
Volume 1: Molecular Biology and Biochemistry
highlights the molecular mechanisms of tuberculosis.
Volume 2: Immunology and Cell Biology presents the
pre-eminent resource for all aspects of cell biology and
immunology of tuberculosis, including vaccine development.
Volume 3: Clinics, Diagnostics, Therapy and
Epidemiology introduces a comprehensive overview of
clinical aspects of tuberculosis, including drug
resistance, epidemiological aspects and clinical trials.
It is co-edited by Dr. Paul van Helden, Professor of
Medical Biochemistry at Stellenbosch University, South
Africa, Director of Laboratory Research for the Desmond
Tutu Tuberculosis Centre and former President of the South
African Society of Biochemistry and Molecular Biology.
Table of Contents:
Clinics Diagnostics Therapy Epidemiology: Introduction
Global Epidemiology of Tuberculosis
Surveillance Studies and Interpretation
Molecular Epidemiology of M. tuberculosis
Diagnosis of M. tuberculosis: Clinical
Clinical Disease (with and without HIV)
Management of Tuberculosis Patients
Chemotherapy
New Drugs and Clinical Drug Trials
Latency
Drug Resistance in Clinical Context
Novel Drug Treatment Strategies -
Co-infections
Modeling
BCG Vaccination |
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The Metabolic
Syndrome: Epidemiology,
Clinical Treatment, and Underlying Mechanisms
by Barbara C. Hansen |
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Cat.# DA-EPI5 |
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Published: 2008
ISBN: 9781588297389 |
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Metabolic syndrome is the most common clinical
disorder, affecting as many as 60% of middle-aged and
older adults. This book includes updated clinical views on
metabolic syndrome; its definition and current and current
and future treatment options; and critical evaluation of
the current status of each of the syndrome components,
including the latest knowledge of casual mechanisms. It is
anticipated that this book will be of value to all of
those seeking a comprehensive update on the metabolic
syndrome. It will provide a broad basis for advancing
research in the multiple intersecting disciplines
encompassed by the metabolic syndrome.
Key Features: Covers the most important clinical and bench
science aspects of the metabolic syndrome, Co-Editor Dr.
Bray is one of the leading figures in the world on obesity
and metabolic syndrome.
Contents: Metabolic Syndrome: to be or not to be.
The Role of Obesity in Insulin Resistance: Epidemiological
and metabolic aspects. Treatment of the Metabolic Syndrome
with Weight Loss, Exercise, Hormones and Surgery. Insulin
Resistance, Metabolic Syndrome, and Cardiovascular
Disease: an epidemiological perspective. The Sympatho-Adrenal
System in Metabolic Syndrome. Insulin Action and
Endothelial Function. Macro and Micro Vascular Disease in
an Insulin Resistant - Pre-diabetic Animal Model (the
JCR:LA-cp Rat. High Sensitivity C-reactive protein
(Hs-CRP) in Metabolic Syndrome. Insulin Signaling in
Adipocytes and the Role of Inflammation. Insulin
Resistance and Dyslipidemia. Pancreatic Islet
Pathophysiology and Pathology in Obesity. Glucagon
Peptides and Insulin Sensitivity. The Relationship between
the Insulin Receptor Substrates and Metabolic Disease.
Insulin Resistance and Inhibitors of the Insulin Receptor
Tyrosine Kinase. Fat Feeding and Muscle Fat Deposition
Eliciting Insulin Resistance: an update. Alternations in
Atypical Protein Kinase-C (APK-C) Activation in Insulin
Resistance Syndrome. The Liver's Role in Insulin Action
and Resistance. |
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Infectious
Diseases Surveillance
by Nkuchia M. M'ikanatha, Ruth Lynfield,
Chris A. Van Beneden, and Henriette de Valk |
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