"A major work of interpretation of medical and social thought . . . this volume is also to be commended for its skillful, absorbing presentation of the background and the effects of this dread disease."—I.B. Cohen, New York Times
"The Cholera Years is a masterful analysis of the moral and social interest attached to epidemic disease, providing generally applicable insights into how the connections between social change, changes in knowledge and changes in technical practice may be conceived."—Steven Shapin, Times Literary Supplement
"In a way that is all too rarely done, Rosenberg has skillfully interwoven medical, social, and intellectual history to show how medicine and society interacted and changed during the 19th century. The history of medicine here takes its rightful place in the tapestry of human history."—John B. Blake, Science
Over the past fifty years, more than three hundred infectious diseases have either newly emerged or reemerged, appearing in territories where they’ve never been seen before. Ninety percent of epidemiologists expect that one of them will cause a deadly pandemic sometime in the next two generations. It could be Ebola, avian flu, a drug-resistant superbug, or something completely new. While we can’t know which pathogen will cause the next pandemic, by unraveling the story of how pathogens have caused pandemics in the past, we can make predictions about the future. In Pandemic: Tracking Contagions, from Cholera to Ebola and Beyond, the prizewinning journalist Sonia Shah—whose book on malaria, The Fever, was called a “tour-de-force history” (The New York Times) and “revelatory” (The New Republic)—interweaves history, original reportage, and personal narrative to explore the origins of contagions, drawing parallels between cholera, one of history’s most deadly and disruptive pandemic-causing pathogens, and the new diseases that stalk humankind today.
To reveal how a new pandemic might develop, Sonia Shah tracks each stage of cholera’s dramatic journey, from its emergence in the South Asian hinterlands as a harmless microbe to its rapid dispersal across the nineteenth-century world, all the way to its latest beachhead in Haiti. Along the way she reports on the pathogens now following in cholera’s footsteps, from the MRSA bacterium that besieges her own family to the never-before-seen killers coming out of China’s wet markets, the surgical wards of New Delhi, and the suburban backyards of the East Coast.
By delving into the convoluted science, strange politics, and checkered history of one of the world’s deadliest diseases, Pandemic reveals what the next global contagion might look like— and what we can do to prevent it.
The real story of AIDS—how it originated with a virus in a chimpanzee, jumped to one human, and then infected more than 60 million people—is very different from what most of us think we know. Recent research has revealed dark surprises and yielded a radically new scenario of how AIDS began and spread. Excerpted and adapted from the book Spillover, with a new introduction by the author, Quammen's hair-raising investigation tracks the virus from chimp populations in the jungles of southeastern Cameroon to laboratories across the globe, as he unravels the mysteries of when, where, and under what circumstances such a consequential "spillover" can happen. An audacious search for answers amid more than a century of data, The Chimp and the River tells the haunting tale of one of the most devastating pandemics of our time.
· Downloadable data sets
· Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more
· Additional material for data analysis
Christine Murphy has compiled a book that presents the vaccination dilemma from multiple perspectives. It clearly describes the immune system and its workings--and what science does and does not know about them. It offers suggestions and resources for parents whose children are sick, whether from a common childhood illness or from a vaccination reaction. And it makes a case for an alternate view of disease--as a teacher that allows us to develop physically and spiritually, and as a necessary test of strength that we have chosen out of our destiny.
This book will help educate parents about the vaccination dilemma and prepare them to make, in consultation with one or more health professionals, educated vaccination decisions for their children.
Alfredo Morabia's lucid retelling sheds new light on the historical triumphs of epidemiological research and allows for contemporary readers, patients, and nontechnical audiences to make sense of the immense amount of health information disseminated by the media. By drawing from both historical and contemporary sources, Morabia provides the reader with the tools to differentiate health beliefs from health knowledge. The book covers important topics, including the H1N1 swine flu epidemic, breast cancer, the effects of aspirin, and the link between cigarettes and lung cancer. Enigmas of Health and Disease is a concise narrative helping patients and health providers develop a more informed relationship.
Until recently, Zika—once considered a mild disease—was hardly a cause for global panic. But as early as August 2015, doctors in northeast Brazil began to notice a trend: many mothers who had recently experienced symptoms of the Zika virus were giving birth to babies with microcephaly, a serious disorder characterized by unusually small heads and brain damage.
By early 2016, Zika was making headlines as evidence mounted—and eventually confirmed—that microcephaly is caused by the virus, which can be contracted through mosquito bites or sexually transmitted.
The first death on American soil, in February 2016, was confirmed in Puerto Rico in April. The first case of microcephaly in Puerto Rico was confirmed on May 13, 2016. The virus has been known to be transmitted by the Aedes aegypti or Yellow Fever mosquito, but now Aedes albopictus, the Asian Tiger mosquito, has been found to carry it as well, which means it might affect regions as far north as New England and the Great Lakes. Right now, at least 298 million people in the Americas live in areas “conducive to Zika transmission,” according to a recent study. Over the next year, more than 5 million babies will be born.
In Zika: The Emerging Epidemic, Donald G. McNeil Jr. sets the facts straight in a fascinating exploration of Zika’s origins, how it’s spreading, the race for a cure, and what we can do to protect ourselves now.
Unlike natural disasters, whose destruction is concentrated in a limited area over a period of days, and illnesses, which have devastating effects but are limited to individuals and their families, infectious disease has the terrifying power to disrupt everyday life on a global scale, overwhelming public and private resources and bringing trade and transportation to a grinding halt.
In today's world, it's easier than ever to move people, animals, and materials around the planet, but the same advances that make modern infrastructure so efficient have made epidemics and even pandemics nearly inevitable. And as outbreaks of Ebola, MERS, yellow fever, and Zika have demonstrated, we are woefully underprepared to deal with the fallout. So what can -- and must -- we do in order to protect ourselves from mankind's deadliest enemy?
Drawing on the latest medical science, case studies, policy research, and hard-earned epidemiological lessons, Deadliest Enemy explores the resources and programs we need to develop if we are to keep ourselves safe from infectious disease. The authors show how we could wake up to a reality in which many antibiotics no longer cure, bioterror is a certainty, and the threat of a disastrous influenza pandemic looms ever larger. Only by understanding the challenges we face can we prevent the unthinkable from becoming the inevitable.
Deadliest Enemy is high scientific drama, a chronicle of medical mystery and discovery, a reality check, and a practical plan of action.
In Deadly River, Ralph R. Frerichs tells the story of the epidemic—of a French disease detective determined to trace its origins so that he could help contain the spread and possibly eliminate the disease—and the political intrigue that has made that effort so difficult. The story involves political maneuvering by powerful organizations such as the United Nations and its peacekeeping troops in Haiti, as well as by the World Health Organization and the U.S. Centers for Disease Control. Frerichs explores a quest for scientific truth and dissects a scientific disagreement involving world-renowned cholera experts who find themselves embroiled in intellectual and political turmoil in a poverty-stricken country.
Frerichs’s narrative highlights how the world’s wealthy nations, nongovernmental agencies, and international institutions respond when their interests clash with the needs of the world’s most vulnerable people. The story poses big social questions and offers insights not only on how to eliminate cholera in Haiti but also how nations, NGOs, and international organizations such as the UN and CDC deal with catastrophic infectious disease epidemics.
Includes practical examples from recent trials
Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. In each chapter, the expert contributors describe important multiplicity problems encountered in pre-clinical and clinical trial settings.
The book begins with a broad introduction from a regulatory perspective to different types of multiplicity problems that commonly arise in confirmatory controlled clinical trials, before giving an overview of the concepts, principles, and procedures of multiple testing. It then presents statistical methods for analyzing clinical dose response studies that compare several dose levels with a control as well as statistical methods for analyzing multiple endpoints in clinical trials. After covering gatekeeping procedures for testing hierarchically ordered hypotheses, the book discusses statistical approaches for the design and analysis of adaptive designs and related confirmatory hypothesis testing problems. The final chapter focuses on the design of pharmacogenomic studies based on established statistical principles. It also describes the analysis of data collected in these studies, taking into account the numerous multiplicity issues that occur.
This volume explains how to solve critical issues in multiple testing encountered in pre-clinical and clinical trial applications. It presents the necessary statistical methodology, along with examples and software code to show how to use the methods in practice.
• A broad perspective traces CAM therapies from their beginnings to present day practices.
• Clinical guidesfor selecting therapies, and new advances for matching the appropriate therapy to the individual patient, enables you to offer and/or recommend individualized patient care.
• Expert contributorsinclude well-known writers such as Kevin Ergil, Patch Adams, Joseph Pizzorno, and Marc Micozzi himself.
• A unique synthesisof information, including historical usage, cultural and social analysis, current basic science theory and research, and a wide range of clinical investigations and observations, makes this text a focused, authoritative resource.
• Suggested readings and referencesin each chapter list the best resources for further research and study.
• Coverage of CAM therapies and systemsincludes those most commonly encountered or growing in popularity, so you can carefully evaluate each treatment.
• An evidence-based approachfocuses on treatments best supported by clinical trials and scientific evidence.
• Observations from mechanisms of action to evidence of clinical efficacyanswers questions of how, why, and when CAM therapies work.
• Global coverageincludes discussions of traditional healing arts from Europe, Asia, Africa, and the Americas.
• NEW! Updated chapters feature new content and topics, including: challenges in integrative medicine, legal issues, CAM in the community, psychometric evaluation, placebo effect, stress management, and much more!
• NEW! Updated guides on common herbal remedies in clinical practice, East and Southeast Asia, and native North and South America deliver the latest information.
• NEW! Revised chapters with new contributors offer fresh perspectives on these important and relevant topics.
• EXPANDED! Basic science content and new theory and research studies cover a wide range of sciences such as biophysics, biology and ecology, ethnomedicine, psychometrics, neurosciences, and systems theory.
• NEW! New and expanded global ethnomedical systems include new content on Shamanism and Neo-Shamanism, Central and North Asia, Southeast Asia, Nepal and Tibet, Hawaii and South Pacific, Alaska and Pacific Northwest, and contemporary global healthcare.
While Oleckno provides thorough treatment of the more customary aspects of conventional and modern epidemiology, he also introduces several important design and analytical issues that are only rarely approached in fundamental epidemiology textbooks. Concepts as diverse as competing risks, maturation, futility, and the prevalence and bias effects in the context of screening are just a few examples of the broad range of concepts covered in this text. A comprehensive glossary contains detailed definitions of over 700 terms used throughout the 14 chapters comprising the textbook.
Aspiring public health professionals will appreciate the solid basis they gain from Epidemiology: Concepts and Methods and will want to keep a copy close by as a valuable reference throughout their careers.
“This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.”
—Journal of the American Statistical Association
Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R.
The new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing.
Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as:Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end-of-section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforce material Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations
Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.
New to This Edition:
*Chapters on the political ecology of health; emerging infectious diseases and landscape genetics; food, diet, and nutrition; and urban health.
*Coverage of Middle East respiratory syndrome, Ebola, and Zika; impacts on health of global climate change; contaminated water crises in economically developed countries, including in Flint, Michigan; China's rapid industrial growth; and other timely topics.
*Updated throughout with current data and concepts plus advances in GIS.
*End-of-chapter review questions and suggestions for further reading.
*Section Introductions that describe each chapter.
*"Quick Reviews"--within-chapter recaps of key concepts.
*Bold-faced key terms and an end-of-book glossary.
Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation Illustrates methods of randomisation that might be employed for clinical trials Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation
Its breadth and depth, coupled with the inclusion of all the SAS code, make this book ideal for practitioners as well as for a graduate class in biostatistics or public health.
Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support.sas.com/amsus
The Spanish flu of 1918-1920 was one of the greatest human disasters of all time. It infected a third of the people on Earth--from the poorest immigrants of New York City to the king of Spain, Franz Kafka, Mahatma Gandhi and Woodrow Wilson. But despite a death toll of between 50 and 100 million people, it exists in our memory as an afterthought to World War I.
In this gripping narrative history, Laura Spinney traces the overlooked pandemic to reveal how the virus travelled across the globe, exposing mankind's vulnerability and putting our ingenuity to the test. As socially significant as both world wars, the Spanish flu dramatically disrupted--and often permanently altered--global politics, race relations and family structures, while spurring innovation in medicine, religion and the arts. It was partly responsible, Spinney argues, for pushing India to independence, South Africa to apartheid and Switzerland to the brink of civil war. It also created the true "lost generation." Drawing on the latest research in history, virology, epidemiology, psychology and economics, Pale Rider masterfully recounts the little-known catastrophe that forever changed humanity.
The authors emphasize parametric log-linear models, while also detailing nonparametric procedures along with model building and data diagnostics. Medical and public health researchers will find the discussion of cut point analysis with bootstrap validation, competing risks and the cumulative incidence estimator, and the analysis of left-truncated and right-censored data invaluable. The bootstrap procedure checks robustness of cut point analysis and determines cut point(s).
In a chapter written by Stephen Portnoy, censored regression quantiles - a new nonparametric regression methodology (2003) - is developed to identify important forms of population heterogeneity and to detect departures from traditional Cox models. By generalizing the Kaplan-Meier estimator to regression models for conditional quantiles, this methods provides a valuable complement to traditional Cox proportional hazards approaches.
Survival Analysis: Models and Applications:Presents basic techniques before leading onto some of the most advanced topics in survival analysis. Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation. Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique. Highlights the strengths and limitations of each technique covered.
Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events. Scientists interested in survival analysis should find it a useful guidebook for the incorporation of survival data and methods into their projects.
"The new edition has the balance of breadth and depth and should appeal to practitioners, academics and students alike. The second edition of Public Health and Aging is a must-read book in the developing field of public health and aging."
--American Public Health Association
"[This] book provides an understanding of the physical, mental, and social functioning domains that affect older persons and how these affect quality of life. This is a valuable addition to the growing field of public health and aging."
"This book promotes the development and maintenance of optimal physical, mental, and social functioning,irrespective of acquired diseases and with due recognition of the senescent changes that accompany late life. Updated, revised, and significantly expanded, this second edition contains new chapters that examine chronic disease, long-term care, and ethical issues in public health and aging. The book also serves as a resource to health professionals and students, delineating what measures health care professionals can take to help elderly populations not only maintain but optimise their health." -- The Lamp
The health care industry has continued its efforts to promote health and prevent disease among elderly populations. In this book, however, the authors argue that simple health promotion and disease prevention are not enough to address the many challenges of aging-whether it entails being physically frail, living with dementia, or approaching death. Instead, the unique focus of this groundbreaking text centers on maximizing function and well-being for the elderly.
This book promotes the development and maintenance of optimal physical, mental, and social functioning, irrespective of acquired disease and with due recognition of the senescent changes that accompany late life. Updated, revised, and significantly expanded, this second edition contains new chapters that examine chronic disease, long-term care, and ethical issues in public health and aging. The book also serves as an excellent textbook for both graduate and undergraduate curriculums.
Key Features: Provides updated statistics and trends related to physical, cognitive, and affective functioning for older adultsCovers key topics such as physical functioning and disability, cognitive disability, affective and social functioning, quality of life, and mortalityDiscusses the national efforts to make communities more "elder-friendly"Includes important information on evidence-based depression management programsCovers the core fields of public health: epidemiology, population studies, health systems and policy, and health behaviors Instructor's Guide available to qualified instructors (contact firstname.lastname@example.org)
Unlike other introductory competitors on the market, this is a pocket-sized reference that does not clutter the programming techniques presented by trying to teach statistical techniques at the same time. Strong on explanations of how to carry out data manipulations that real-life data often call for, each programming technique is supported by tasks to develop skills and confidence. It also contains "tasks" for the reader, complete with solutions. Datasets and the programming code are available to download from www.crcpress.com/e_products/downloads.
Once readers have mastered the topics covered in the book, they will be well placed to learn further aspects of SAS programming.