Case Studies in Public Health by
The cases chosen for this collection include those on traditional public health, such as sanitation, hygiene and infectious disease control, and also the organization, financing and quality of health care services. Each case study is presented in a systematic fashion to facilitate learning, with the case, background, current relevance, economic issues, ethical issues, conclusions, recommendation and references discussed for each case.
Exercises in Epidemiology: Applying Principles and Methods by
Exercises in Epidemiology is comprised of nearly 200 questions and answers drawn from published studies, this one-of-a-kind text allows students in epidemiology and publichealth to cultivate their skills in a real-world context while familiarizing themselves with core epidemiologic principles: rates and proportions, causal inference, and confounding. Answers to every question, along with each step in the reasoning that supports them, are included so that students can compare notes with a senior epidemiologist.
COVID-19 Global Lessons Learned: Interactive Case Studies by
COVID-19 Global Lessons Learned is a collection of 6 interactive case studies, 6-10-page each, that is designed for online or classroom discussion or as graded assignments. The case studies include links to websites and videos, discussion and interactive questions, plus a full package of instructor resources including a helpful instructor's guide with sample answers to discussion questions, and a test bank. The 6 Interactive Case Studies include: 1. Clinical course of COVID-19 2. Epidemiology of COVID-19 3. Testing for COVID-19 4. Population Prevention and COVID-19 5. Treatment of COVID-19 6 Health Policy and Communications for COVID-19
Leadership Theories and Case Studies : An Epidemiological Perspective by
Effective leadership does not occur by chance. Leaders must be trained and groomed for the daunting responsibility of leading organizations. Research shows that half of the people currently in leadership positions will fail. Why they fail and what can be done to prevent failure are the main subjects of this book. It shows that effective leadership is possible and illustrates why and how, based on research and case studies from an epidemiological perspective. The epidemiological word "determinant" is used frequently, and is a word that no other book on leadership uses. Epidemiologists work from two basic principles: namely, that all diseases have determinants and that diseases do not occur randomly. In other words, there are always causes for diseases and patterns that describe how diseases spread. Effective and ineffective leadership always have determinants that are not randomly distributed; the impacts are uniformly and deeply spread throughout an organization. Like the epidemiologists, this book not only identifies leadership determinants, but also provides research-based "antidotes" at the end of each chapter, along with a summary of the most salient points in the chapter. This book offers examples of leadership and governance from the non-profit sector, businesses, public and private education, higher education, and other organizations, highlighting over 50 case studies to illustrate concepts about leadership
Mathematical Modeling for Epidemiology and Ecology by
Mathematical Modeling for Epidemiology and Ecology provides readers with the mathematical tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics in biological contexts, focusing on the central mathematical ideas and the biological implications, with detailed explanations. The author assumes no mathematics background beyond elementary differential calculus. An introductory chapter on basic principles of mathematical modeling is followed by chapters on empirical modeling and mechanistic modeling. These chapters contain a thorough treatment of key ideas and techniques that are often neglected in mathematics books, such as the Akaike Information Criterion. The second half of the book focuses on analysis of dynamical systems, emphasizing tools to simplify analysis, such as the Routh-Hurwitz conditions and asymptotic analysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology. The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that focus on a single detailed example, and some is based on recent research by the author on vaccination modeling and scenarios from the COVID-19 pandemic. The problem sets feature linked problems where one biological setting appears in multi-step problems that are sorted into the appropriate section, allowing readers to gradually develop complete investigations of topics such as HIV immunology and harvesting of natural resources. Some problems use programs written by the author for Matlab or Octave; these combine with more traditional mathematical exercises to give students a full set of tools for model analysis. Each chapter contains additional case studies in the form of projects with detailed directions. New appendices contain mathematical details on optimization, numerical solution of differential equations, scaling, linearization, and sophisticated use of elementary algebra to simplify problems.
Clinical Neuroepidemiology of Acute and Chronic Disorders by
Clinical Neuroepidemiology of Acute and Chronic Disorders explores the epidemiology of disorders that affect the nervous system, providing comprehensive discussions on incidence, prevalence, and more. With thorough coverage of a variety of disorders, chapters detail etiology, risk factors, pathophysiology, clinical manifestations, diagnosis, global incidence and prevalence, age-specific incidence, global mortality, prevention, treatment and prognosis for each disorder. Chapters uniquely discuss the effects of the COVID-19 coronavirus upon the nervous system and in relation to several diseases, including new discoveries and treatments for Alzheimer's disease and migraine headaches. Real-world case studies with critical thinking questions and "Focus On" boxes highlight important information.