Vector-borne diseases have increasingly emerged as significant causes of human illnesses worldwide, largely due to environmental changes (deforestation), population movements (migration and travelling), international trades, and buildup of drug resistance. These are presenting major challenge to the efficacy and use of conventional tools for controlling vector-borne diseases. Therefore, use of microbial approach for the control of vector-borne diseases is gaining importance. This book comprehensively reviews vector-borne diseases and their microbial control, emphasizing majorly on ecofriendly ways of microbial control.

This new edition of Health Studies provides an authoritative and contemporary introduction to the study of health. With chapters including epidemiology, psychology, human and environmental geography, and anthropology, it is the only book to explore in one volume all of the core disciplines that contribute to understanding health. It illustrates how the complexity of health problems such as obesity should be viewed with an interdisciplinary perspective. Each chapter explains the disciplinary approach and then its theoretical and research approaches with examples. A highlight of this 4th edition is a new chapter on sports and exercise science providing another scientific chapter on physiology which is applied and will be of interest to all those thinking of employment in sports or leisure industry. The book is accessible and learner-centered and each chapter features: a connections feature that links the chapters together; learning tasks; questions for reflection and debate; examples to illustrate concepts, methodologies and to explore contemporary issues; a case study on obesity, food and diet. Comprehensive, accessible and written by leading experts in the different fields, this is the introductory text for all students of health studies.

It killed novelist George Orwell, Eleanor Roosevelt, and millions of others - rich and poor. Desmond Tutu, Amitabh Bachchan, and Nelson Mandela survived it, just. For centuries, tuberculosis has ravaged cities and plagued the human body. In Phantom Plague, Vidya Krishnan, traces the history of tuberculosis from the slums of 19th-century New York to modern Mumbai. In a narrative spanning century, Krishnan shows how superstition and folk-remedies, made way for scientific understanding of TB, such that it was controlled and cured in the West. The cure was never available to black and brown nations. And the tuberculosis bacillus showed a remarkable ability to adapt - so that at the very moment it could have been extinguished as a threat to humanity, it found a way back, aided by authoritarian government, toxic kindness of philanthropists, science denialism and medical apartheid. Krishnan's original reporting paints a granular portrait of the post-antibiotic era as a new, aggressive, drug resistant strain of TB takes over. Phantom Plague is an urgent, riveting and fascinating narrative that deftly exposes the weakest links in our battle against this ancient foe.

This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data, and present the reader with approaches to address missing data effectively. The book is illustrated throughout with realistic case studies and worked examples, and presents clear and concise guidelines to enable good planning for missing data. The authors show how to handle missing data in a way that is transparent and easy to understand for clinicians, regulators and patients. New developments are presented to improve the choice and implementation of primary and sensitivity analyses for missing data. Many SAS code examples are included the reader is given a toolbox for implementing analyses under a variety of assumptions.

As screening programs for HIV, high cholesterol, high blood pressure, genetic abnormalities and other risk factors continue to proliferate, difficult questions are continually raised concerning the psychological and behavioral effects on the participants. Although members of the public health community have debated the costs and benefits of screening programs for over three decades, these questions have become especially pertinent with the current emphasis on early disease detection and prevention. While advocates argue that risk notification provides the impetus for individuals to improve their health habits and seek early treatment, skeptics contend that risk screening can have an adverse labeling effect, leading to increased anxiety, work absenteeism, and fatalism.
Now, for the first time, the widely scattered body of research on the effects of risk factor screening is comprehensively reviewed and evaluated in this volume. Here, an internationally recognized group of expert contributors summarizes and discusses current knowledge about the psychosocial consequences of risk factor testing, taking into account individual differences, gender differences, risk status, and intervention strategies. Both the public health and behavioral science viewpoints are explored through up-to-date reviews and stimulating commentary. Bridging the gap between data, theory and public health policy, this volume is essential reading for researchers, professionals and policymakers concerned with the prevention of acute and chronic disease.

Clinical Data Quality Checks for CDISC Compliance using SAS is the first book focused on identifying and correcting data quality and CDISC compliance issues with real-world innovative SAS programming techniques such as Proc SQL, metadata and macro programming. Learn to master Proc SQL's subqueries and summary functions for multi-tasking process. Drawing on his more than 25 years' experience in the pharmaceutical industry, the author provides a unique approach that empowers SAS programmers to take control of data quality and CDISC compliance. This book helps you create a system of SDTM and ADaM checks that can be tracked for continuous improvement. How often have you encountered issues such as missing required variables, duplicate records, invalid derived variables and invalid sequence of two dates? With the SAS programming techniques introduced in this book, you can start to monitor these and more complex data and CDISC compliance issues. With increased standardization in SDTM and ADaM specifications and data values, codelist dictionaries can be created for better organization, planning and maintenance. This book includes a SAS program to create excel files containing unique values from all SDTM and ADaM variables as columns. In addition, another SAS program compares SDTM and ADaM codelist dictionaries with codelists from define.xml specifications. Having tools to automate this process greatly saves time from doing it manually. Features SDTMs and ADaMs Vitals SDTMs and ADaMs Data CDISC Specifications Compliance CDISC Data Compliance Protocol Compliance Codelist Dictionary Compliance

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners.

This Companion provides a comprehensive account of health and medical geography and approaches the major themes and key topics from a variety of angles. Offers a unique breadth of topics relating to both health and medical geography Includes contributions from a range of scholars from rising stars to established, internationally renowned authors Provides an up-to-date review of the state of the sub-discipline Thematically organized sections offer detailed accounts of specific issues and combine general overviews of the current literature with case study material Chapters cover topics at the cutting edge of the sub-discipline, including emerging and re-emerging diseases, the politics of disease, mental and emotional health, landscapes of despair, and the geography of care

This book contains the contributions to the 32nd Hemophilia Symposium, Hamburg 2001. The main topics are epidemiology, hemophilia, pediatric hemostasiology. The volume is rounded off by numerous free papers and posters on hemophilia, hemorrhagic diathesis, thrombophilic diathesis and associated topics.

Although classical electromagnetic (EM) field theory is typically embedded in vector calculus and differential equations, many of the basic concepts and characteristics can be understood with precursory mathematical knowledge. Completely revised and updated, Basic Introduction to Bioelectromagnetics, Second Edition facilitates the process of interdisciplinary research by introducing life scientists to the basic concepts of EM fields. This new edition outlines elements of EM that are helpful to life scientists working with physicists and electrical engineers. Each concept is presented with an associated application and discussion. Example applications include hyperthermia, neural stimulation, MRI, NMR, ultrasound, and cardiac pacing/defibrillation. With the liberal use of diagrams and graphs, this qualitative and illustrative point of access: Covers the entire frequency spectrum from direct current (DC) up through optical frequencies Includes more than 200 illustrations with 40 medical applications Incorporates examples from real applications to explain concepts Concentrates on the qualitative explanation of the key concepts, fundamental principles, and characteristic behaviors of EM fields, without mathematical rigor Offers practical rules of thumb to understand real situations Requires only an algebra background, in contrast to typical EM books that require vector calculus and partial differential equations Offering a simplified view of a very complex subject, this second edition provides an accessible introduction for life scientists and medical technologists on how EM fields work, what controls them, and the factors important to experimental setups.

A practical guide to analysing partially observed data. Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the resulting incomplete data is now huge, and continues to grow both as methods are developed for large and complex data structures, and as increasing computer power and suitable software enable researchers to apply these methods. This book focuses on a particular statistical method for analysing and drawing inferences from incomplete data, called Multiple Imputation (MI). MI is attractive because it is both practical and widely applicable. The authors aim is to clarify the issues raised by missing data, describing the rationale for MI, the relationship between the various imputation models and associated algorithms and its application to increasingly complex data structures. Multiple Imputation and its Application: * Discusses the issues raised by the analysis of partially observed data, and the assumptions on which analyses rest. * Presents a practical guide to the issues to consider when analysing incomplete data from both observational studies and randomized trials. * Provides a detailed discussion of the practical use of MI with real-world examples drawn from medical and social statistics. * Explores handling non-linear relationships and interactions with multiple imputation, survival analysis, multilevel multiple imputation, sensitivity analysis via multiple imputation, using non-response weights with multiple imputation and doubly robust multiple imputation. Multiple Imputation and its Application is aimed at quantitative researchers and students in the medical and social sciences with the aim of clarifying the issues raised by the analysis of incomplete data data, outlining the rationale for MI and describing how to consider and address the issues that arise in its application.

This text focuses on areas of public health practice in which the systematic application of epidemiologic methods can have a large and positive impact. It describes how best to apply traditional epidemiologic methods for determining disease etiology to "real-life" problems in public health and health services research. Brownson and Petitti's much-needed book bridges the gap between theoretical epidemiology and public health practice, and covers a number of topics not addressed by other epidemiology texts with a focus on methods. This second edition contains a new chapter on the development and use of systematic reviews and one on epidemiology and the law. Each chapter includes one or more case studies intended to illustrate major points from the chapter and to provide a basis for teaching exercises. All of the chapters are authored by leading experts in the fields of epidemiology and public health, and all are fully revised and updated.
The book is intended for practitioners in epidemiology as well as for students in epidemiology and related disciplines that rely on epidemiologic methods and reasoning. It is a practical and informative book for use in academic institutions, federal agencies which have significant educational missions, state and local public health agencies, and health care organizations. By providing a resource of immense accessibility to several key audiences, this edition of Applied Epidemiology: Theory to Practice further extends the fields ability to make a real difference on behalf of better health for all.

COVID-19 has made differential impacts on countries and communities around the world. China, where COVID-19 started, has developed and utilized different types of technologies, including both traditional and disruptive technologies, to address the pandemic risks. Also, there have been many innovations in applying technologies in different contexts during the pandemic as well as in the post-pandemic recovery and preparedness aspects. This book covers some of these technological developments as well as the governance mechanisms for developing a technology and innovation ecosystem in a post-COVID-19 context in China. The book also explores the experiences and lessons learned from different types of technologies and their implementation in the post-COVID-19 period and highlights how they can be useful to prepare for future calamities.

This book constitutes the refereed proceedings of the Third International Symposium on Medical Data Analysis, ISMDA 2002, held in Rome, Italy, in October 2002. The 23 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on data mining and decision support systems, medical informatics and modeling, time series analysis, and medical imaging.

Public health officials state that vaccines are safe and effective, but the truth is far more complicated. Vaccination is a serious medical intervention that always carries the potential to injure and cause death as well as to prevent disease. Coercive vaccination policies deprive people of free and informed consent--the hallmark of ethical medicine. Americans are increasingly concerned about vaccine safety and the right to make individual, informed choices together with their healthcare practitioners. "Vaccine Epidemic" focuses on the searing debate surrounding individual and parental vaccination choice in the United States.
Habakus, Holland, and Rosenberg edit and introduce a diverse array of interrelated topics concerning the explosive vaccine controversy, including the ethics of vaccination mandates, corrupting conflicts of interest in the national vaccine program, and personal narratives of parents, children, and soldiers who have suffered vaccine injury.
Newly updated with additional chapters focusing on institutional scientific misconduct, mandates for healthcare workers, concerns about HPV vaccine development, and the story behind the Supreme Court's recent vaccine decision, "Vaccine Epidemi"c remains the essential handbook for the vaccination choice movement and required reading for all people contemplating vaccination for themselves and their children.

Opioids. Concussions. Obesity. Climate change. America is a country of everyday crises - big, long-spanning problems that persist, mostly unregulated, despite their toll on the country's health and vitality. And for every case of government inaction on one of these issues, there is a set of familiar, doubtful refrains: The science is unclear. The data is inconclusive. Regulation is unjustified. It's a slippery slope. Is it? The Triumph of Doubt traces the ascendance of science-for-hire in American life and government, from its origins in the tobacco industry in the 1950s to its current manifestations across government, public policy, and even professional sports. Well-heeled American corporations have long had a financial stake in undermining scientific consensus and manufacturing uncertainty; in The Triumph of Doubt, former Obama and Clinton official David Michaels details how bad science becomes public policy - and where it's happening today. Amid fraught conversations of "alternative facts" and "truth decay," The Triumph of Doubt wields its unprecedented access to shine a light on the machinations and scope of manipulated science in American society. It is an urgent, revelatory work, one that promises to reorient conversations around science and the public good for the foreseeable future.

This book describes stochastic epidemic models and methods for statistically analyzing them. It is aimed at statisticians, biostatisticians, and biomathematicians.

International specialists in Microbiology, Infectious Diseases, Internal Medicine, Cardiology Immunology, Pneumonology, Neurology and Epidemiology gathered to this workshop to discuss and enhance interdisciplinary knowledge on the possible etiological role of Chlamydia pneumoniae, a widespread human respiratory infection, in the pathogenesis of chronic inflammatory diseases with major public health impact such as atherosclerosis, cardiovascular disease, adult-onset asthma bronchiale, chronic obstructive pulmonary diseases, reactive arthritis, morbus Alzheimer and multiple sclerosis. Current deficits and goals in the standardisation of diagnostic tools, basic and applied research, design of epidemiological and monitoring of therapy studies were identified. A special feature of this book is the comprehensive collection of state-of-the-art review articles in the various fields with many references.

This book addresses current topics on pathogenic Vibrio spp. from a comprehensive and holistic perspective. Here, experts in the field provide timely chapters, ranging from genomics, pathogen emergence, and epidemiology to pathogenesis, virulence regulation and host colonization. Questions addressed include: How does climate change affect the spread of these bacteria? What is the status of current vaccines? Are there novel therapeutic options to treat Vibrio infections? Is there likelihood of emergence of new pathogenic strains or species? Can insights from mathematical models and epidemiology lead to prediction of pathogen outbreaks? Recent decades have seen a steady increase in Vibrio spp. infections originating in aquatic and marine habitats, driven by higher human population densities, warming of polluted oceans, natural and human-made disasters, and mass seafood production. These conditions increase the likelihood of pathogenic Vibrio spp. coming into contact with humans, making their study even more timely and relevant as these problems escalate over time. This book is a valuable resource for health management professionals, experienced microbiologists/ microbial ecologists, and early career scientists alike who want to learn more about these important environmental human pathogens. The ideas and technologies presented in this book for preventing, controlling, and monitoring Vibrio spp. infections contribute to the UN Sustainable Development Goal 3: Good Health and Well-Being.

This book covers all details for a successful control and elimination strategy against propagation of deadly liver and intestinal flukes of the genus Schistosoma in China. Cancer due to schistosomiasis is still common in subtropical countries and affords hundred thousands of human and animal deaths per year. Expert authors play close attention to the biology and morphologic aspects of Schistosoma species as well as the history and status quo of schistosomiasis epidemiology. In a unique way, the present work illustrates the need to involve strategic measurements, and to control both adult worms and larval parasite stages. With a special focus on Jiangxi Province, the authors present an effective management plan, ranging from intermediate host snail control to diagnostic tools, medical aid, as well as public health education. This approach from China can be used as blueprint in other countries hit by the same worm infections. The contents of this book will thus be meaningful for academics and practitioners in the fields of parasitology, public health, as well as human and veterinary medicine.

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the theoretical underpinnings of recently developed empirical likelihood-based methods. The emphasis throughout is on the application of the methods to the health sciences, with worked examples using real data. Provides a systematic overview of novel empirical likelihood techniques. Presents a good balance of theory, methods, and applications. Features detailed worked examples to illustrate the application of the methods. Includes R code for implementation. The book material is attractive and easily understandable to scientists who are new to the research area and may attract statisticians interested in learning more about advanced nonparametric topics including various modern empirical likelihood methods. The book can be used by graduate students majoring in biostatistics, or in a related field, particularly for those who are interested in nonparametric methods with direct applications in Biomedicine.

Creo que muchos de los profesionales de la salud, no tienen una comprensi n adecuada, acerca de lo que abarca la Medicina del Trabajo y las relaciones que esta tiene con la Epidemiolog a. M s a n, frecuentemente se encuentra una falta de comunicaci n entre el m dico del trabajo y el epidemi logo a pesar de su mutuo inter s en la salud y la enfermedad de los trabajadores. Adem s, considero justo decir, que la mayor a de los estudiantes de medicina y de otras ciencias de la salud, consideran a la Medicina del Trabajo y a la Epidemiolog a, como unidades de aprendizaje aburridas e irrelevantes, las que se estudian nicamente porque se les obliga a ello. Otro punto de vista com n, en lo referente a la Epidemiolog a, es que se le considera altamente matem tica y demasiado compleja para entenderla. Con este pensamiento, he intentado escribir un libro de texto conciso, para m dicos del trabajo, estudiantes de medicina y otros profesionales de la salud, que pueda explicar los conceptos b sicos de la epidemiolog a de manera clara y sencilla. He tratado de suprimir la brecha existente en la comunicaci n entre el M dico del Trabajo como cl nico y el epidemi logo, describiendo algunos ejemplos cl nicos a trav s del libro, explicando al M dico del Trabajo, por que es necesario el nfasis epidemiol gico sobre el estudio de grupos de trabajadores, mas que de individuos.

A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology. The academic material is usually covered in public health courses including (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing. The book is composed of 13 chapters, including an introduction chapter that covers basic concepts of statistics and probability. Among the topics covered are linear regression model, polynomial regression model, weighted least squares, methods for selecting the best regression equation, and generalized linear models and their applications to different epidemiological study designs. An example is provided in each chapter that applies the theoretical aspects presented in that chapter. In addition, exercises are included and the final chapter is devoted to the solutions of these academic exercises with answers in all of the major statistical software packages, including STATA, SAS, SPSS, and R. It is assumed that readers of this book have a basic course in biostatistics, epidemiology, and introductory calculus. The book will be of interest to anyone looking to understand the statistical fundamentals to support quantitative research in public health. In addition, this book: Is based on the authors course notes from 20 years teaching regression modeling in public health courses Provides exercises at the end of each chapter Contains a solutions chapter with answers in STATA, SAS, SPSS, and R Provides real-world public health applications of the theoretical aspects contained in the chapters Applications of Regression Models in Epidemiology is a reference for graduate students in public health and public health practitioners. ERICK SUAREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. He received a Ph.D. degree in Medical Statistics from the London School of Hygiene and Tropical Medicine. He has 29 years of experience teaching biostatistics. CYNTHIA M. PEREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. She received an M.S. degree in Statistics and a Ph.D. degree in Epidemiology from Purdue University. She has 22 years of experience teaching epidemiology and biostatistics. ROBERTO RIVERA is an Associate Professor at the College of Business at the University of Puerto Rico at Mayaguez. He received a Ph.D. degree in Statistics from the University of California in Santa Barbara. He has more than five years of experience teaching statistics courses at the undergraduate and graduate levels. MELISSA N. MARTINEZ is an Account Supervisor at Havas Media International. She holds an MPH in Biostatistics from the University of Puerto Rico and an MSBA from the National University in San Diego, California. For the past seven years, she has been performing analyses for the biomedical research and media advertising fields.

Searching for the causes of mental disorders is as exciting as it it complex. The relationship between pathophysiology and its overt manifestations is exceedingly intricate, and often the causes of a disorder are elusive at best. This book is an invaluable resource for anyone trying to track these causes, whether they be clinical researchers, public health practitioners, or psychiatric epidemiologists-in-training. Uniting theory and practice in very clear language, it makes a wonderful contribution to both epidemiologic and psychiatric research. Rather than attempting to review the descriptive epidemiology of mental disorders, this book gives much more dynamic exposition of the thinking and techniques used to establish it.
Starting out by tracing the brief history of psychiatric epidemiology, the book describes the study of risk factors as causes of mental disorders. Subsequent sections discuss approaches to investigation of biologic, genetic, or social causes and the statistical analysis of study results. The book concludes by following some of the problems involved in the search for genetic causes of mental disorders, and more complex casual relationships.

The First Seattle Symposium in Biostatistics: Survival Analysis was held on November 20 and 21, 1995 in honor of the twenty-fifth anniversary of the University of Washington (UW) School of Public Health and Com munity Medicine. This event was sponsored by Amgen and co-sponsored by the UW School of Public Health and Community Medicine and the Division of Public Health Sciences, the Fred Hutchinson Cancer Research Center (FHCRC). The symposium featured keynote lectures by David Cox, Richard Gill and Ross Prentice, as well as invited talks by Norman Bres low, David Clayton, John Crowley, Susan Ellenberg, Mitchell Gail, Nicholas Jewell, Peter Lachenbruch, Jerald Lawless, Kung-Yee Liang, David Oakes, Margaret Pepe, Steven Self, Anastasios Tsiatis, Lee-Jen Wei, Jon Wellner and Zhiliang Ying. It was attended by 437 statisticians from 16 countries. In addition, 163 people attended a two-day short course taught by Thomas Fleming, David Harrington and Terry Therneau on Survival Analysis Meth ods and Software on the weekend preceding the symposium. When the UW School of Public Health and Community Medicine was formed in 1970, biostatistics as a discipline was only a few years old. In the subsequent twenty-five years, both the field and the UW Department of Biostatistics have evolved in many exciting ways. The Department had only seven faculty when it moved from the School of Medicine to the new School of Public Health and Community Medicine in 1970."