Epidemiology and Medical statistics

In Memoriam of Alfred S.

Using an evidence-based, critical, population health approach, this book provides a comprehensive analysis of the key errors and most effective interventions to contain the COVID-19 pandemic.

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research.

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.

This book presents models describing HIV transmission rates at population level, discussing the main statistical methods and analytical interventions.

This book presents a 360-degree picture of the world of insects and explores how their existence affects our lives: the "e;good, bad, and ugly"e; aspects of their interactions with humankind.

Sepsis is a syndrome or sometimes it is a clinical condition evoked by uncontrolled endotoxin-reactions.

This book offers the first comprehensive introduction to Results Mapping, an in- novative approach for assessing the worth of hard-to-evaluate social, health, and education programs.

This book offers a comprehensive overview of the use of breast MRI for screening high-risk women, including those with familial-genetic hereditary predisposition and previous chest radiation therapy, typically lymphoma survivors.

Take Your NI Trial to the Next LevelReflecting the vast research on noninferiority (NI) designs from the past 15 years, Noninferiority Testing in Clinical Trials: Issues and Challenges explains how to choose the NI margin as a small fraction of the therapeutic effect of the active control in a clinical trial.

Epidemiology and Demography in Public Health provides practical guidance on planning and implementing surveillance and investigation of disease and disease outbreaks.

To successfully conduct an epidemiological study, academic subject knowledge must be combined with careful consideration of the practical elements involved.

With the increase in the development of the advanced cellular communication system, it is assumed that several sectors, such as the health industry, education, transport industry, business model, and so on, will rapidly grow.

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.

A thorough, practical reference on the social patterns behind health outcomes Methods in Social Epidemiology provides students and professionals with a comprehensive reference for studying the social distribution and social determinants of health.

Edited by a clinical psychologist who has been on the ground helping to develop psychosocial support for Ebola survivors in one of the hardest-hit regions of West Africa, this book explains the devastating emotional aspects of the epidemic and its impact on survivors and the population in West Africa, families in the diaspora, and people in the United States and other countries.

This hands-on, no-frills tutorial guide equips new and infrequent users with the SAS skills which are essential to data management.

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged.

Among the developed countries it is not the richest societies which have the best health, but those which have the smallest income differences between rich and poor.

Diet is a major factor in health and disease.

This book delivers a sophisticated package of statistical methods for advanced master''s (MPH) and PhD students in public health and epidemiology, involved in data analysis.

This book is designed to be a practical study in infectious disease dynamics.

Having an understanding of critical appraisal and evidence-based medicine is a prerequisite to being an effective clinician.

The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies.

The term health technology refers to drugs, devices, and programs that can improve and extend quality of life.

Using an evidence-based, critical, population health approach, this book provides a comprehensive analysis of the key errors and most effective interventions to contain the COVID-19 pandemic.

A concise and accessible guide to the coronavirus/COVID-19, fully updated with information on variants, treatment options and vaccines.

In Nursing in an Integrated Digital World that Supports People, Systems, and the Planet, the leading-edge innovators in digital health applications, global thought leaders, and multinational, cooperative research initiatives are woven together against the backdrop of health equity and policy-setting bodies, such as the United Nations and the World Health Organization.

Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed.

Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension.

First published in 1889, this book provides a guide to vital statistics- the science of numbers applied to the life-history of communities and nations- in relation to medical problems.

This book provides a comprehensive overview of the different water-associated infectious diseases and their linked pathogens with plausible strategies for their mitigation.

This is a concise introduction to epidemiology and biostatistics written specifically for medical students and first-time learners of clinical research methods.

This title includes a number of Open Access chapters.

The increasing importance of sickness and disability data across health-related disciplines is the focus of this concise but comprehensive resource.

Infectious Disease Epidemiology is a concise reference guide which provides trainees and practicing epidemiologists with the information that they need to understand the basic concepts necessary for working in this specialist area.

This groundbreaking work, now available in paperback, has helped to shape the emerging discipline of molecular epidemiology.

This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques.

Translating the evidence from the bedside to populations This sixth edition of the best-selling Epidemiology, Evidence-based Medicine and Public Health Lecture Notes equips students and health professionals with the basic tools required to learn, practice and teach epidemiology and health prevention in a contemporary setting.

The only book available in the area of forward-time population genetics simulations applicable to both biomedical and evolutionary studies The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies.

In this second edition of Infectious Diseases and Arthropods, Jerome Goddard summarizes the latest thinking about the biological, entomological, and clinical aspects of the major vector-borne diseases around the world.

Initially stimulated by a scholarly workshop convened in Singapore in late 2004, and written over the subsequent 18 months, this volume considers the potentially lethal pattern of infectious disease emergence in Asia.

This book discusses the evidence behind the relationship between COVID-19 and heart disease based on emerging state-of-the-art data.

Healthy ageing has long been a neglected area of epidemiological research as the traditional focus has been on specific chronic diseases of older life.

John T.

Forty years ago, the age-old battle against infectious diseases as a major threat to human health was believed close to being won.

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of survival data, illustrated using a wide range of examples from biomedical research.