Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology. As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy. - Presents a comprehensive, two-part volume written by leading subject experts - Provides a unique breadth and depth of content coverage - Addresses the most cutting-edge developments in the field - Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output

Handbook of Statistics: Disease Modelling and Public Health, Part B, Volume 37 addresses new challenges in existing and emerging diseases. As a two part volume, this title covers an extensive range of techniques in the field, with this book including chapters on Reaction diffusion equations and their application on bacterial communication, Spike and slab methods in disease modeling, Mathematical modeling of mass screening and parameter estimation, Individual-based and agent-based models for infectious disease transmission and evolution: an overview, and a section on Visual Clustering of Static and Dynamic High Dimensional Data. This volume covers the lack of availability of complete data relating to disease symptoms and disease epidemiology, one of the biggest challenges facing vaccine developers, public health planners, epidemiologists and health sector researchers. - Presents a comprehensive, two-part volume written by leading subject experts - Provides a unique breadth and depth of content coverage - Addresses the most cutting-edge developments in the field

Asiatic Liver Fluke - From Basic Science to Public Health, Volume 102, is a well-known and respected outlet for detailed and comprehensive reviews written by experts covering all aspects of parasitology. This latest release covers topics of interest, including Plasmodium genetics: An approach to learn and end human, Leishmania tropica: what we know from experimental models, Extracellular vesicles in host-parasite interaction, Cathepsins and vaccines for fascioliasis, and Evolution in fungi and drug resistance. Presents a well-known and respected outlet for detailed and comprehensive reviews written by experts covering all aspects of parasitology Includes sections that cover taxonomy, ecology and population genetics

This ground-breaking book advances the fundamental debate about the nature of addiction. As well as presenting the case for seeing addiction as a brain disease, it brings together all the most cogent and penetrating critiques of the brain disease model of addiction (BDMA) and the main grounds for being skeptical of BDMA claims. The idea that addiction is a brain disease dominates thinking and practice worldwide. However, the editors of this book argue that our understanding of addiction is undergoing a revolutionary change, from being considered a brain disease to a disorder of voluntary behavior. The resolution of this controversy will determine the future of scientific progress in understanding addiction, together with necessary advances in treatment, prevention, and societal responses to addictive disorders. This volume brings together the various strands of the contemporary debate about whether or not addiction is best regarded as a brain disease. Contributors offer arguments for and against, and reasons for uncertainty; they also propose novel alternatives to both brain disease and moral models of addiction. In addition to reprints of classic articles from the addiction research literature, each section contains original chapters written by authorities on their chosen topic. The editors have assembled a stellar cast of chapter authors from a wide range of disciplines – neuroscience, philosophy, psychiatry, psychology, cognitive science, sociology, and law – including some of the most brilliant and influential voices in the field of addiction studies today. The result is a landmark volume in the study of addiction which will be essential reading for advanced students and researchers in addiction as well as professionals such as medical practitioners, psychiatrists, psychologists of all varieties, and social workers.

This three volume series represents a selected and refereed collection of papers contributed by the participants of the First World Congress on Computational Medicine, Public Health, and Biotechnology, held in 1994 at Austin, Texas. Over 500 individuals, from 30 countries attended this meeting. In addition, this collection contains a number of papers from the Australian CSIRO High Performance Computing Meeting held that same year.

Volume I.C An outbreak of a respiratory disease first reported in Wuhan, China in December 2019 and the causative agent was discovered in January 2020 to be a novel betacoronovirus of the same subgenus as SARS-CoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) has rapidly disseminated worldwide, with clinical manifestations ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Person to person transmission is occurring both in the community and healthcare settings. The World Health Organization (WHO) has recently declared the COVID-19 epidemic a public health emergency of international concern. The ongoing outbreak presents many clinical and public health management challenges due to limited understanding of viral pathogenesis, risk factors for infection, natural history of disease including clinical presentation and outcomes, prognostic factors for severe illness, period of infectivity, modes and extent of virus inter-human transmission, as well as effective preventive measures and public health response and containment interventions. There are no antiviral treatment nor vaccine available but fast track research and development efforts including clinical therapeutic trials are ongoing across the world. Managing this serious epidemic requires the appropriate deployment of limited human resources across all cadres of health care and public health staff, including clinical, laboratory, managerial and epidemiological data analysis and risk assessment experts. It presents challenges around public communication and messaging around risk, with the potential for misinformation and disinformation. Therefore, integrated operational research and intervention, learning from experiences across different fields and settings should contribute towards better understanding and managing COVID-19. This Research Topic aims to highlight interdisciplinary research approaches deployed during the COVID-19 epidemic, addressing knowledge gaps and generating evidence for its improved management and control. It will incorporate critical, theoretically informed and empirically grounded original research contributions using diverse approaches, experimental, observational and intervention studies, conceptual framing, expert opinions and reviews from across the world. The Research Topic proposes a multi-dimensional approach to improving the management of COVID-19 with scientific contributions from all areas of virology, immunology, clinical microbiology, epidemiology, therapeutics, communications as well as infection prevention and public health risk assessment and management studies.

Mathematical models are increasingly used to guide public health policy decisions and explore questions in infectious disease control. Written for readers without advanced mathematical skills, this book provides an introduction to this area.

This volume critiques and challenges the use and promotion of the disease model in psychiatry, arguing that its misconceived approach prevents the preferred disablement model from becoming the default method to understand mental health conditions, including schizophrenia. Featuring first-hand experiences as well as qualitative and quantitative findings, the book posits that mental illnesses are an expression of disablement, not disease, and that the alternative disablement approach (already being applied in the psychiatry of neurodevelopmental disorders but applicable to mental illness, too) allows for greater dignity and autonomy for the patient, collaboration between medical professionals, a replacement of categorical approaches with more appropriate dimensional ones, and a liberation from the restrictive idea of a ‘cure’. The initial chapters of the book summarize the now overwhelming evidence that the disease model is flawed, as is the simplistic materialism that psychiatry has built around the concept of the brain as a kind of standalone biological computer. The later chapters consider the currently existent alternatives to the disease model and put forward the evidence for a psychiatry based on the person, as described by the philosopher Heidegger among others. This volume will appeal to researchers, scholars, and postgraduate students in clinical psychiatry, mental health research, and psychotherapy. Psychologists and clinicians active in research or teaching in mental health will also benefit from this volume.

This book grew out of the discussions and presentations that began during the Workshop on Emerging and Reemerging Diseases (May 17-21, 1999) sponsored by the Institute for Mathematics and its Application (IMA) at the University of Minnesota with the support of NIH and NSF. The workshop started with a two-day tutorial session directed at ecologists, epidemiologists, immunologists, mathematicians, and scientists interested in the study of disease dynamics. The core of this first volume, Volume 125, covers tutorial and research contributions on the use of dynamical systems (deterministic discrete, delay, PDEs, and ODEs models) and stochastic models in disease dynamics. The volume includes the study of cancer, HIV, pertussis, and tuberculosis. Beginning graduate students in applied mathematics, scientists in the natural, social, or health sciences or mathematicians who want to enter the fields of mathematical and theoretical epidemiology will find this book useful.

First published in 1963, Advances in Parasitology contains comprehensive and up-to-date reviews in all areas of interest in contemporary parasitology. Advances in Parasitology includes medical studies of parasites of major influence, such as Plasmodium falciparum and trypanosomes. The series also contains reviews of more traditional areas, such as zoology, taxonomy, and life history, which shape current thinking and applications. The 2013 impact factor is 4.36. - Informs and updates on all the latest developments in the field - Contributions from leading authorities and industry experts