-The latest "buzz word" in HIV prevention

-Few resources available on "positive prevention"

-Kalichman is a known and recognized name in the field of HIV prevention

Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of Practical Notes at the end of each section. Technical details of the derivation of the techniques are sketched in a series of Technical Notes. This book will be useful for investigators who need to analyze censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology.

This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty. It covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It showcases non-stationary vector-valued processes, while treating stationarity as a special case. In particular, with members of their research group the authors developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development.

The last few years have seen enormous progress in terms of our understanding of the etiology and pathogenesis of cervical cancer (particularly with respect to the role of human papillomaviruses), and this has opened up new avenues for prevention. Additionally, there have been further refinements of existing technologies for cervical cancer control. To read about the state of the art on cervical cancer, health professionals have to locate individual articles and reviews of specific topics. In recognition of this, we propose to produce a book that will bring together in one place reviews of the contribution of descriptive and analytical epidemiological research to our understanding of cervical cancer etiology, as well as research on the application of that knowledge (plus knowledge gained from basic science investigations) to prevention through screening, chemoprevention, and vaccine development. The proposed book will include authoritative reviews by scientists working on the disciplines that are pertinent to the topic of the epidemiology and prevention of cervical cancer.

Because aging is accompanied by a steady decline in resistance to infectious diseases, the diagnosis and treatment of these diseases in the elderly is not only much more complex, but also often quite different from that for younger patients.

In the second edition of Infectious Disease in the Aging: A Clinical Handbook, a panel of well known and highly experienced geriatric physicians and infectious disease experts review the most important common infections affecting the elderly and delineate their well-proven diagnostic, therapeutic, and preventive techniques. Among the illnesses discussed are urinary tract infections, pneumonia, ocular infections, tuberculosis, and fungal and viral infections. In addition, there are detailed discussions of sepsis, infective endocarditis, intraabdominal infections, bacterial meningitis, osteomyelitis and septic arthritis, and prosthetic device infections.

Aimed at all types of public health practitioners and theorists, this book is a compilation of methodological and application developments in spatial epidemiological approaches for environmental and public health studies in the Asia Pacific region. It aims to plug a gap in the literature that has seen a shortage of materials documenting the development of health GIS in this crucial part of the world.

All aspects of ophthalmic trauma from the lid to the optic nerve of both mechanical and nonmechanical trauma are covered in this unique book. The focus is on practical issues and incorporates cutting-edge approaches, such as temporary keratosprosthesis, artificial iris diaphragm, and prophylactic retinectomy.

This book explains and answers not simply the when, the what, and the how, but also the why questions. The information is based on epidemiologic and clinical data from evaluation to management.

All chapters are written using the standardized ocular traumatology terminology. The user-friendly format, including many tables, flowcharts and illustrations, allows the reader to quickly find the information they are looking for.

Written by a well-known expert in the field, this concise pocketbook provides clinically useful information that will be of great help to the attending ophthalmologists and emergency room physicians in the decision-making process. The book has practical recommendations for all who see patients with eye injuries."

It is a truism among biologists that an organism's phenotype is the product of both its genotype and its environment. An organism's genotype contains the total informational potential of the individual, while its environment shapes the expression of the ge- type, influences the rate of mutation and occurrence of modifications, and ultimately determines the likelihood that the genotype (or fractions thereof) will survive into the next generation. In the relationship between host and pathogen, therefore, each forms a part of the environment of the other, mutually influencing the biology of both partners on scales ranging from the life history of individuals to the fate of populations or entire species. Molecular biologists working on problems in pathogenesis generally think of the host organism as the pathogen's environment and perhaps occasionally consider the pathogen as part of the host's environment. However, because "environment" can be defined at many scales, so, too, can phenotypes: if a pathogen, as a species, is c- sidered to exist in a host, as a species, then among its phenotypes is the nature of the pandemic disease it can cause within the host community. The contributors to the proceedings of this NATO Advanced Research Workshop have treated the interplay of environment and genotype in the host-pathogen relationship and its relationship to the problem of emerging infectious disease at both the macroscopic and microscopic/ molecular levels along this continuum of scale (with some human history thrown in at times for good measure).

The last half century has witnessed two landmark events in medical history. The 1970s saw euphoria about the defeat of one of humankind's oldest disease scourges with the global eradication of smallpox. To set against this, the 2020s are experiencing the pandemic ravages of new viral diseases, of which COVID-19 is currently the most potent. But it is only the latest of a succession of threats. A Geography of Infection explores the distinctive spatial patterns and processes by which such infectious diseases spread from place to place and can grow from local and regional epidemics into global pandemics. This resource focuses initially on the local scale of doctors' practices and small islands where epidemic outbreaks are slight in the numbers infected and in geographical extent. Such local area studies raise two questions. First, how and where do epidemic diseases emerge and second, why do more diseases appear to be emerging now? To approach such questions implies a shift in spatial gear from painting epidemics with a fine-tipped local brush to an expanded palette on which doctors' practices and small islands are replaced by regional and global populations. Simultaneously, time bands are extended backwards to the origins of civilization and forwards into the twenty-first century. It eventually leads to a consideration of global pandemics - both historical (for example, plague, cholera and influenza) and contemporary (HIV/AIDS and COVID-19) and examines the ways the spread of infection can be prevented. All chapters are extensively illustrated with full-colour diagrams and maps - some of which are in colour for the first time. Bringing together the authors' collective 150 years of experience in research, mapping, and writing on spatial aspects of medical history, this is an invaluable resource for anyone interested in the spread, control, and eradication of epidemic and pandemic diseases.

The story of the rise and fall of smallpox, one of the most savage killers in the history of mankind, and the only disease ever to be successfully exterminated (30 years ago next year) by a public health campaign. Proceeds from the sale of this book will to to support the Edward Jenner Museum in Berkeley, UK (visit www.jennermuseum.com).

All too often, the words "computer validation" strike terror into the hearts of those new to the process and may even cause those familiar with it to tremble. Validating Pharmaceutical Systems: Good Computer Practice in Life Science Manufacturing delineates GCP, GLP, and GMP regulatory requirements and provides guidance from seasoned practitioners on how to fulfill them. John Andrews and his team tackle the perceived complexities surrounding the validation of a wide variety of automated systems. Sprinkled with case studies and real-life examples, the book offers a step-by-step review of topics such as planning, design, auditing, risk management, and specification. The in-depth, by example coverage demystifies the challenges of manufacturing execution systems(MES), laboratory information management systems(LIMS), and network qualification. The first section examines the different levels of automated systems used throughout the drug development, manufacture, and delivery lifecycle, using the GAMP 4 lifecycle approach to their validation. The second section uncovers some real-life applications of GAMP 4 to different areas of the regulations such as GLP, GCP, GMP, and GDP. The book explores some of the latest thinking on computer validation and reflects changes that have occurred in the industry since the early days of validation. The contributors are a deliberate blend of those who have faced the problems of the 1990s and the Y2K controversies and those who have more recently arrived on the scene and made an impact on the perception of validation of automated systems across the field of GxP. They do more than show you how to do the right thing; they show you how to do the right thing in compliance with regulations.

As timely as it is urgent, the well-researched book from veteran science journalist Madeline Drexler delivers a compelling report about today's most ominous infections disease threats. Focusing on a different danger in each chapter-from the looming risk of lethal influenza to in-depth information on the public health perils posed by bioterrorism-Drexler takes readers straight to the front lines, where scientists are racing to catch nearly invisible adversaries superior in speed and guile. Drawing on a powerful combination of fresh research and surprising history, she warns us that the most ceaselessly creative bioterrorist is still Mother Nature, whose microbial operatives are all around us, ready to ounce whenever conditions are right.

The "Tutorials in Biostatistics" have become a very popular feature of the prestigious Wiley journal, "Statistics in Medicine" (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the first of two volumes presenting the best tutorials published in SIM, focusing on statistical methods in clinical studies. Topics include the design and analysis of clinical trials, epidemiology, survival analysis, and data monitoring. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics. Many articles include an appendix on the latest developments since publication in the journal and additional references.

This will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics.

As evidenced by the anthrax attacks in 2001, the SARS outbreak in 2003, and the H1N1 influenza pandemic in 2009, a pathogen does not recognize geographic or national boundaries, often leading to devastating consequences. Automated biosurveillance systems have emerged as key solutions for mitigating current and future health-related events. Focusing on this promising public health innovation, Biosurveillance: Methods and Case Studies discusses how these systems churn through vast amounts of health-related data to support epidemiologists and public health officials in the early identification, situation awareness, and response management of natural and man-made health-related events. The book follows a natural sequence from theory to application. The initial chapters build a foundation while subsequent chapters present more applied case studies from around the world, including China, the United States, Denmark, and the Asia-Pacific region. The contributors share candid, first-hand insights on lessons learned and unresolved issues that will help chart the future of biosurveillance. As this book illustrates, biosurveillance operates in a complex, multidimensional problem space that incorporates varied data. Capturing the progress of modern-day pioneers who are walking in John Snow's footsteps, this volume shows how contemporary information technology can be applied to the age-old challenge of combating the spread of disease and illness.

This book gives a comprehensive survey of the epidemiology of common environmental exposures, including diet, water, particulates in outdoor air, nitrogen dioxide, ozone, environmental tobacco smoke, radon in homes, electromagnetic fields, and lead. Design and analysis issues, risk assessment and meta-analysis, and future directions in environmental epidemiology are also covered. All chapters provide a review of the literature as well as a discussion of important methodologic issues, particularly exposure assessment and statistical methods. The book's focus is on environmental exposures that are suspected of causing disease, but often remain controversial. Most of these exposures are widespread and low-level, and are thought to increase the risk of chronic diseases that have many causes. Although the disease risks due to these exposures may be low, the public health burden may be important because large numbers of people are exposed. Such exposures are inherently difficult to detect via observational epidemiology. This book seeks to clarify the challenges involved and suggests ways to move forward. It will be useful to students and practitioners of public health, environmental health, and epidemiology.

This essential guide provides a clear, accessible review of the use of statistics in pathology studies. Spanning topics such as exploratory data analysis and descriptive statistics as well as the use of comparative statistics, concordance analysis, categorical and continuous data regression analyses, count data, survival analyses, decision point and clustering analysis, and more, this practical book comprehensively demystifies all the statistical knowledge paramount to working in the field. Throughout the guide, the author team highlights common errors and pitfalls that occur when performing tests and when interpreting data and make suggestions for how to avoid mistakes. Chapters are uniformly structured for ease of use and each chapter concludes with review questions to facilitate self-assessment of the reader's skill in use of statistical methods. Statistics for Pathologists teaches trainees, junior investigators, and seasoned pathologists how to look at their data from the point of view of a statistician and determine what tests should be done, how the data and test should be presented, and how to use the tests practically. Learning statistical applications can greatly enhance and simplify the skills necessary to review and present data accurately and this basic understanding of statistics is critical in pathology-related work. Key Features: Clear, concise overviews of every relevant statistical test with application in pathology-related research Includes real published studies to provide examples of use of the tests and interpretation of data Emphasizes how to avoid common errors and pitfalls when conducting tests and interpreting data Provides self-assessment review questions and answers in each chapter Comes with downloadable datasets for the reader so that they can perform statistical analysis tied to the book with popular stats programs

"Epidemiology Kept Simple" introduces the epidemiological principles and methods that are increasingly important in the practice of medicine and public health. With minimum use of technical language it fully explains terminology, concepts, and techniques associated with traditional and modern epidemiology. Topics include disease causality, epidemiologic measures, descriptive epidemiology, study design, clinical and primary prevention trials, observational cohort studies, case-control studies, and the consideration of random and systematic error in studies of causal factors. Chapters on the infectious disease process, outbreak investigation, and screening for disease are also included. The latter chapters introduce more advanced biostatistical and epidemiologic techniques, such as survival analysis, Mantel-Haenszel techniques, and tests for interaction.

This third edition addresses all the requirements of the American Schools of Public Health (ASPH) Epidemiological Competencies, and provides enhanced clarity andreadability on this difficult subject. Updated with new practical exercises, case studies and real world examples, this title helps you develop the necessary tools to interpret epidemiological data and prepare for board exams, and now also includes review questions at the end of each chapter.

"Epidemiology Kept Simple" continues to provide an introductory guide to the use of epidemiological methods for graduate and undergraduate students studying public health, health education and nursing, and for all practicing health professionals seeking professional development.

Before AIDS, the role of behavioral interventions in preventing transmission of sexually transmitted diseases was acknowledged in text books and journals but rarely promoted effectively in public health practice. Informed by a comprehensive knowledge of behavioral theory, intervention methods, and affected populations, the authors of this important book examine the central role of behavioral interventions in combating STDs. The book addresses the complexities and social contexts of human behaviors which spread STDs, the cultural barriers to STD education (ranging from conservative mores to stay out of my bedroom libertarianism), and the sociopolitical nuances surrounding treatment. Over forty contributors offer a practical appraisal of what is being done now and what can be improved, such as: an overview of current behavioral and biomedical interventions for STD prevention and control, a discussion of what works for individuals, groups, and communities, up to date thinking about such traditional prevention approaches as partner notification and health care seeking, STD prevention strategies with high-risk populations, including drug users, gay men, teenagers, incarcerated persons, and persons with repeat infections, the state of prevention technology: condoms, vaccines, the Internet, ethical, economic, and policy issues in STD prevention, applying intervention models to real-world situations, guidelines for program evaluation and improvement.

As STDs and AIDS remain top priorities for public health and private sector practitioners, researchers, and educators, Behavioral Interventions for Prevention and Control of Sexually Transmitted Diseases gives a long-neglected field the attention it deserves. This authoritative resource is sure to influence public health practice and policy in an ever-evolving social climate."

Forty years ago, the age-old battle against infectious diseases as a major threat to human health was believed close to being won. However, by the late twentieth century, the increase of emerging and reemerging infectious diseases was evident in both low and high income countries. About 30 new infectious diseases have been identified in the last 20 years. Among the "new" diseases, and most importantly, the Human Immunodeficiency Virus (HIV) epidemic, with 40 million persons infected and 25 million deaths since its first description, presents one of the most significant health, societal and security challenges facing the global community. The interaction of HIV/AIDS with tuberculosis, malaria and bacterial infections have increased HIV-related morbidity and mortality, and in turn, the HIV pandemic has brought about devastating increases in tuberculosis.

Understanding the population impact and the dynamics of infection diseases in the most affected region is critical to efforts to reduce the morbidity and mortality of such infections, and for decisions on where to use limited resources in the fight against infections.

This book aims to contribute to these efforts by offering a demographic and epidemiological perspective on emerging and reemerging infections in sub-Saharan Africa.

Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation.

Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).

This comprehensive workbook contains a variety of self-assessment methods that allow readers to test their statistical knowledge, put it into practice, and apply it in a medical context, while also providing guidance when critically appraising published literature. It is designed to support the best-selling third edition of Medical Statistics at a Glance, to which it is fully cross-referenced, but may be used independently of it. Ideal for medical students, junior doctors, researchers and anyone working in the biomedical and pharmaceutical disciplines who wants to feel more confident in basic medical statistics, the title includes: Over 80 MCQs, each testing knowledge of a single statistical concept or aspect of study interpretation 29 structured questions to explore in greater depth several statistical techniques or principles, including the choice of appropriate statistical analyses and the interpretation of study findings Templates for the appraisal of clinical trials and observational studies, plus full appraisals of two published papers to demonstrate the use of these templates in practice Detailed step-by-step analyses of two substantial data sets (also available at www.medstatsaag. com) to demonstrate the application of statistical procedures to real-life research Medical Statistics at a Glance Workbook is the ideal resource to test statistical knowledge and improve analytical and interpretational skills. Additional resources are available at www.medstatsaag.com, including: Excel datasets to accompany the data analysis section Downloadable PDFs of two templates for critical appraisal Links to online further reading Supplementary MCQs

The international advanced research workshop funded by NATO and entitled "impact of pollutions on animal and animal products" was organized at Almaty (Kazakhstan) on 27-30 September 2007. Thirty-one scientists from 12 countries (Kazakhstan, Kirgizstan, Azerbaijan, Ukraine, Russia, France, Great Britain, Italy, Belgium, Romania and Morocco) presented conferences at this meeting to share their experience and results. The programme included three main aspects: (i) generality on the pollution situation in Central Asia and former Soviet Union republics, (ii) the pollution area and pollution origin in Central Asia and Western countries in relation with animal health, and (iii) the relationships between soil contamination, plant contamination and animal products status. The present workshop contributed highly to the exchange between scientists giving the opportunity for researchers from Central Asia to access to new scientific approaches and methodologies, and for European scientists to assess the extent of the environmental problems in this part of the world. No doubt that these exchanges were the main success of the workshop marked by very stimulating discussions. Such meeting was also the opportunity to put on the first stone of a scientific network focused on the subject of the workshop. The importance of pollution in Central Asia in general and in Kazakhstan in p- ticular is a well-known feature and several references are available on the source and localization of pollution problems in those countries. The references are also abundant on the impact of the environmental failures on human health.

Models for repeated measurements will be of interest to research statisticians in agriculture, medicine, economics, and psychology, and to the many consulting statisticians who want an up-to-date expository account of this important topic. The second edition of this successful book has been completely revised and updated to take account of developments in the area over the last few years. This book is organized into four parts. In the first part, the general context of repeated measurements is presented. In the following three parts, a large number of concrete examples, including data tables, is presented to illustrate the models available. The book also provides a very extensive and updated bibliography of the repeated measurements literature.

After 9/11, forensic epidemiology emerged as a leading investigative tool, partnering public health officers with law enforcement like never before. Based on the authors' first-hand experience, Forensic Epidemiology brings to light the vast amounts of information collected by medical examiners that will be useful in advancing death investigation techniques among the forensic science, public health, and law enforcement fields. This practical resource begins with a brief overview of epidemiological science and the history of forensic epidemiology before examining the multiple functions of death certificates and the signature role of forensic epidemiologists in death investigations. Incorporating numerous illustrations and real-world examples, the book: Explains proven methods to collect, analyze, and interpret data for criminal investigations Defines the terminology, methodology, procedures, and goals of all sectors involved for more effective collaboration Examines deaths from natural, suicidal, accidental, homicidal, and undetermined causes Describes the various decomposition states and methods used to establish positive identity The increased frequency of criminal acts that involve deliberate biological and chemical agents underscores the need for collaboration between law enforcement investigators and public health professionals. As Forensic Epidemiology effectively demonstrates, when they work together, they can mount a powerful and successful response to threats to the American public. Dr. Steven A. Koehler was interviewed in Volume 12 of Anil Aggrawal's Internet Journal of Forensic Medicine and Toxicology.