Epidemiology and Medical statistics

Behavioral economics has potential to offer novel solutions to some of today's most pressing public health problems: How do we persuade people to eat healthy and lose weight?

The book Coronavirus Therapeutics Volume II provides the most comprehensive review on contemporary knowledge on the consequences during the outbreak of Coronavirus.

Disaster Epidemiology: Methods and Applications applies the core methods of epidemiological research and practice to the assessment of the short- and long-term health effects of disasters.

Progressively more and more attention has been paid to how location affects health outcomes.

Focuses on a shift away from traditional clinical preoccupations towards new priorities of supporting the patient.

Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data.

This book provides a comprehensive overview of the concept of "e;Total Exposure Health"e; and presents details on subject areas which make up the framework.

The ageing of our population is a key societal issue across the globe.

Ideal for high school and lower undergraduate readers, this book provides a holistic and multifaceted look at the state of health in the United States today by examining a wide variety of health indicators against necessary background and contextual information.

The Global Burden of Disease Study (GBD) is one of the largest-scale research collaborations in global health, distilling a wide range of health information to provide estimates and projections for more than 350 diseases, injuries, and risk factors in 195 countries.

Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts.

Cancers are on the rise across the world.

This textbook provides a comprehensive introduction to the factors that impact physical, mental, and social well-being, offering a broad definition of health and healthcare that moves beyond the biomedical model.

Diagnosis through images, robot surgeons, digital twins, and the metaverse are some of the applications in which artificial intelligence (AI) is involved.

A practical guide to analysing partially observed data.

This concise guide equips readers with the essential skills required to analyze and critically appraise health research evidence, an integral element to evidence-based practice and professional development.

Praise for the Second Edition:"e;.

A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

This volume provides a serious examination of substance use prevention research and practice as components of the continuum from health promotion through to prevention and health care in sub-groups and in the general population.

A health policy for the future is the topic of discussion in this book.

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics.

Asks whether personalised medicine is superior to ''one-size-fits-all'' treatment.

This book contains a Foreword by Allyson Pollock, Professor and Head, Centre for International Public Health Policy, University of Edinburgh.

The SARS epidemic of 2003 was one of the most serious public health crises of our times.

This book comprehensively reviews the epidemiology and surveillance strategies of Visceral Leishmaniasis, and the latest developments in disease diagnosis, drug discovery, and vaccine development.

This book investigates the experiences of women in Zimbabwe facing COVID-19 and gender-based violence, arguing that the insights from this extremely tough period could be used as a springboard for positive legal, cultural and policy changes.

An authoritative, evidence-based overview of the health needs of people with intellectual disabilities and how to manage these needs appropriately.

Preventive medical interventions and non-medicalised public health programmes that promise health benefits in the future, from actions taken now, carry a strong ethical requirement of 'first, do no harm' or primum non nocere.

In May 1993, a cluster of cases of a lethal disease among healthy young people brought the attention of the world to the southwestern deserts.

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields.

While silk derived from silkworm has been of economic importance for centuries, more recently silkworm has been found to have utility in biomedicine.

This volume reviews the use of machine learning (ML) to predict antibiotic resistance in pathogens based on gene content and genome composition as data sets comprising hundreds or thousands of pathogen genomes become available.

Despite vaccines and medicines, we have not succeeded in eradicating the most poisonous viruses in the world, like jaundice, measles, diarrhea, polio, and AIDS, not to mention newcomers like West Nile and SARS.

Despite its universality in human female aging, the menopause and its biology are not completely understood.

This is a pioneering book that delves into the intersection of artificial intelligence (AI) and healthcare, specifically focusing on the detection and prevention of infectious diseases.

Mathematical models are increasingly being used to examine questions in infectious disease control.

Since its first publication in 1996, Ethics and Epidemiology has been an invaluable resource for practicing public health professionals and MPH students around the world.

Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach describes a philosophy of efficient problem solving showcased using examples pertinent to the biostatistics function in clinical drug development.

Highly illustrated review of diagnosis, staging and treatment of primary liver carcinomas by expert multidisciplinary author team for wide readership.

An engaging and accessible introduction to the foundations of epidemiology.

The anthrax envelopes incident in the United States in 2001 created the impetus for a substantial increase in preparedness for bioterrorist threats among both public health and law enforcement professionals, worldwide.

This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements.

Until recently, studies of women's health received scant research attention in the context of the overall magnitude of research conducted on health.

This book covers classic epidemiological designs that use a reference/control group, including case-control, case-cohort, nested case-control and variations of these designs, such as stratified and two-stage designs.

Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysisGiven the ongoing risk of infectious diseases worldwide, it is crucial to develop appropriate analysis methods, models, and tools to assess and predict the spread of disease and evaluate the risk.

This text targets effective grant proposal writing in epidemiology, preventive medicine, and biostatistics.

A book for men and women from middle age to advanced years who have suddenly and unexpectedly become confronted with the huge effects that the male prostate can have on the body.