Epidemiology and Medical statistics

This concise, user-friendly book provides an accessible guide for anyone wishing to pursue an epidemiological study.

Environmental Mycology in Public Health: Fungi and Mycotoxins Risk Assessment and Management provides the most updated information on fungi, an essential element in the survival of our global ecology that can also pose a significant threat to the health of occupants when they are present in buildings.

As waves of epidemic disease swept the Philippines in the late nineteenth century, some colonial physicians began to fear that the indigenous population would be wiped out.

Giving much more attention to noninferiority testing, this second edition provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets.

Change is constant in everyday life.

This book offers an accessible and up-to-date reference on primate zoonoses.

"e;Accurate and fully explicit mathematical models and derivations make the proposed method truly universal irrespective of the geographical location and the kind of virus epidemic.

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.

This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications.

With specially commissioned introductions from international experts, the Psychological Insights for Understanding COVID-19 series draws together previously published chapters on key themes in psychological science that engage with people's unprecedented experience of the pandemic.

Over the last three decades enormous effort has gone into strengthening public health information systems (HIS).

This authoritative work, now in its fourth edition, presents state of the art knowledge on all key aspects of cancer prevention.

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.

This book contains papers presented at a conference which describe studies of a World War II hepatitis epidemic, a genetic analysis of substance use in veteran twins, hemorrhagic fever with renal syndrome, the psychological effects of military captivity, and dioxin in adipose tissue.

Population health is complex and multileveled, encompassing dynamic interactions between cells, societies, and everything in between.

Planning clinical research requires many decisions.

Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.

The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research.

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes.

This book provides a comprehensive introduction to computational epidemiology, highlighting its major methodological paradigms throughout the development of the field while emphasizing the needs for a new paradigm shift in order to most effectively address the increasingly complex real-world challenges in disease control and prevention.

In this Information Age, the practices of clinical medicine should no longer be based on what clinical doctors actively know.

Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distinctive challenges primarily due to their sequential decision-making nature and complex data structures.

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.

"e;What is going to happen to me?

As many medical and healthcare researchers have a love-hate relationship with statistics, the second edition of this practical reference book may make all the difference.

This book presents the continual reassessment method (CRM) as a tool for dose-finding studies.

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies.

Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research.

In the early 1980s, it had only recently been appreciated that what was known of the epidemiology of dementia in the elderly living in the community was just the tip of a large iceberg.

In the nearly two decades since the HIV pandemic began, the rapid expansion of behavioral research on HIV prevention has prompted a crucial need for a sourcebook more advanced than an introductory textbook and broader and more readily accessible than a review periodical.

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML).

Provides methods to develop and evaluate measurement instruments in all fields of medicine and quality standards for all measurement properties.

This is the first comprehensive text to provide not only a detailed explanation of how the SARS-CoV2 (COVID-19) virus is spread within human populations, but also an epidemiological analysis and interpretation of viral pandemics to enable better measures for prevention and control.

This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

A comprehensive, best practices resource for public health and healthcare practitioners and students interested in humanitarian emergencies.

This volume, the first of its kind ever, is designed to provide both laypersons and professionals with a detailed description of the occurrence of each common form of cancer in the ethnically, socially, and environmentally complex milieu of a modern urban complex.

It humanizes high-level debates over indicators and data in development aid, showing how they are used to make life-or-death decisions.

Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations.

This book recounts the biology of M.

The first part of this manual deals with the experimental and scientific basis and the principles of the AOjASIF method of stable internal fixation.

Dermatologists are often the first medical professionals to see patients with HIV infection, as skin diseases are common in acquired immunodeficiency syndrome.

With new statistical and scientific issues arising in adaptive clinical trial design, including the U.

Linking Neuroscience and Behavior in COVID-19 examines the impact of the virus and pandemic on behavior and mental health.

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint.

Modern ecological and environmental sciences are dominated by observational data.

As a field progresses, people write about their own work in journals, chapters, and books; but periodically the work needs to be collected and organized.

Winner of 2016 BMA Medical Award for Basic and Clinical SciencesThe Epigenome and Developmental Origins of Health and Disease synthesizes the existing knowledge on how the in utero environment could be the most important environment in shaping later risk for various diseases or to conversely promote the health of the offspring.

Diseases transmitted by insects continue to have a major impact on human populations.