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This book provides a systematic treatment of the mathematical underpinnings of work in the theory of outbreak dynamics and their control, covering balanced perspectives between theory and practice including new material on contemporary topics in the field of infectious disease modelling. Specifically, it presents a unified mathematical framework linked to the distribution theory of non-negative random variables; the many examples used in the text, are introduced and discussed in light of theoretical perspectives. The book is organized into 9 chapters: The first motivates the presentation of the material on subsequent chapters; Chapter 2-3 provides a review of basic concepts of probability and statistical models for the distributions of continuous lifetime data and the distributions of random counts and counting processes, which are linked to phenomenological models. Chapters 4 focuses on dynamic behaviors of a disease outbreak during the initial phase while Chapters 5-6 broadly cover compartment models to investigate the consequences of epidemics as the outbreak moves beyond the initial phase. Chapter 7 provides a transition between mostly theoretical topics in earlier chapters and Chapters 8 and 9 where the focus is on the data generating processes and statistical issues of fitting models to data as well as specific mathematical epidemic modeling applications, respectively. This book is aimed at a wide audience ranging from graduate students to established scientists from quantitatively-oriented fields of epidemiology, mathematics and statistics. The numerous examples and illustrations make understanding of the mathematics of disease transmission and control accessible. Furthermore, the examples and exercises, make the book suitable for motivated students in applied mathematics, either through a lecture course, or through self-study. This text could be used in graduate schools or special summer schools covering research problems in mathematical biology.

Mathematics. --- Emerging infectious diseases. --- Epidemiology. --- Mathematics of Planet Earth. --- Mathematical Modeling and Industrial Mathematics. --- Mathematical and Computational Biology. --- Infectious Diseases. --- Diseases --- Public health --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Communicable diseases --- Math --- Science --- Epidemiology --- Epidemics. --- Epidemiologic Methods. --- Statistical methods. --- Disease outbreaks --- Outbreaks of disease --- Pestilences --- Outbreaks --- Pandemics --- Mathematical models. --- Biomathematics. --- Infectious diseases. --- Biology --- Mathematics --- Models, Mathematical --- Simulation methods

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Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective. Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions. This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.

Communicable diseases --- Medical informatics. --- Public health --- Public health surveillance. --- Medical informatics --- Public health surveillance --- Population Surveillance --- Biomedical Technology --- Epidemiology --- Medical Informatics --- Communicable Diseases --- Methods --- Technology --- Informatics --- Health Surveys --- Public Health --- Public Health Practice --- Information Science --- Infection --- Investigative Techniques --- Medicine --- Technology, Industry, and Agriculture --- Bacterial Infections and Mycoses --- Data Collection --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Technology, Industry, Agriculture --- Health Care Evaluation Mechanisms --- Diseases --- Environment and Public Health --- Epidemiologic Methods --- Health Occupations --- Quality of Health Care --- Disciplines and Occupations --- Health Care --- Health Care Quality, Access, and Evaluation --- Medical & Biomedical Informatics --- Health & Biological Sciences --- Data processing. --- Data processing --- Community health --- Health services --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Sanitary affairs --- Social hygiene --- Contagion and contagious diseases --- Contagious diseases --- Infectious diseases --- Microbial diseases in human beings --- Zymotic diseases --- Medicine. --- Information technology. --- Business --- Public health. --- Health informatics. --- Epidemiology. --- Computers. --- E-commerce. --- Medicine & Public Health. --- Health Informatics. --- Public Health. --- IT in Business. --- e-Commerce/e-business. --- Information Systems and Communication Service. --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Epidemics --- Medical records --- Information systems. --- IT (Information technology) --- Telematics --- Information superhighway --- Knowledge management --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Business—Data processing. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Clinical informatics --- Health informatics --- Medical information science --- Information science

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This paper studies the employment and productivity implications of new labor regulations in China. These new restrictions are intended to protect workers' employment conditions by, among other things, increasing firing costs and increasing compensation. We estimate a model of costly labor adjustment from data prior to the policy. We use the estimated model to simulate the effects of the policy. We find that increases in severance payments lead to sizable job creation, a significant reduction in labor reallocation and an increase in the exit rate. A policy of credit market liberalization will reduce employment, slightly increase labor reallocation and reduce exit. The estimated elasticity of labor demand is about unity so that an increase in the base wage leads to sizable job losses.

Zonder onderwerpscode: economie