Suman Seth reveals how histories of medicine, empire, race and slavery intertwined in the eighteenth-century British Empire.

The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design, field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.

Evaluating the strength or persuasiveness of epidemiologic evidence is inherently challenging, both for those new to the field and for experienced researchers. There are a myriad of potential biases to consider, but little guidance about how to asses the likely impact on study results. This book offers a strategy for assessing epidemiologic research findings, explicitly describing the goals and products of epidemiologic research in order to better evaluate it successes and limitations. The focus throughout is on practical tools for making optimal use of available data to assess whether hypothesized biases are operative and to anticipate concerns at the point of study design in order to ensure that needed information is generated. Specific tools for assessing the presence and impact of selection bias in both cohort and case-control studies, bias from non-response, confounding, exposure measurement error, disease measurement error, and random error are identified and evaluated. The potential value of each approach as well as its limitations are discussed, using examples from the published literature. Such information should help those who generate and interpret epidemiologic research to apply methodological principles more effectively to substantive issues, leading to a more accurate appraisal of the current evidence and greater clarity about research needs.

This brand-new, full-color reference is a foundational text for veterinarians and veterinary students learning about companion exotic animal diseases. Organized by body system, Current Therapy in Exotic Pet Practice walks students through the most relevant information concerning the diagnosis and treatment of exotic animals - including the most relevant information on anatomy, physical examination, diagnostic testing, disease conditions, therapeutics, epidemiology of diseases, and zoonoses. Topics such as captive care, current standards of care for all exotic species, veterinary clinical epidemiology, and the effective prevention and management of infectious diseases are also included. Expert guidance on treating various disease conditions provides authoritative support for veterinarians who are less experienced in companion exotic pet care. Renowned authors and editors carefully selected topics of real clinical importance. Detailed coverage on how to identify and treat diseases (from common to rare) helps alleviate apprehension a veterinarian may feel when treating an unfamiliar species. Includes the latest information from the current scientific literature and addresses hot topics associated with treating companion exotic animals today. Vivid full-color images demonstrate the unique anatomic and medical features of each group of animals covered.

This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021. The 85 full papers presented in this two-volume set were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on Deep Learning for Biomedicine, Intelligent Computing Solutions for SARS-CoV-2 Covid-19, Advanced Topics in Computational Intelligence, Biosignals Processing, Neuro-Engineering and much more.

Now in its Twelfth Edition, Diseases of Poultry continues its tradition of excellence as the definitive reference of poultry disease. Following the same user-friendly format, the book has been thoroughly updated to reflect the most current knowledge of avian pathology, including new coverage of genetic resistance to disease. Coverage is given to both common and uncommon diseases, and chapters are organized by disease type, including viral, bacterial, fungal, parasitic diseases as well as others, such as nutritional, developmental, metabolic, noninfectious diseases and toxins. Each disease section provides detailed coverage of history, etiology, pathobiology, diagnosis, and intervention strategies, as well as the economic and public health significance of each disease. With a host of international authors, Diseases of Poultry is a must-have resource for all veterinary pathologists, practitioners, agricultural managers and industry leaders involved in poultry health and production.

This book constitutes the refereed proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'99, held in Cambridge, UK, in September 1999. The 133 revised full papers presented were carefully reviewed and selected from a total of 213 full-length papers submitted. The book is divided into topical sections on data-driven segmentation, segmentation using structural models, image processing and feature detection, surfaces and shape, measurement and interpretation, spatiotemporal and diffusion tensor analysis, registration and fusion, visualization, image-guided intervention, robotic systems, and biomechanics and simulation.