Trajectory Analysis in Health Care

Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-319-86665-9
Verlag: Springer International Publishing

Buch, Englisch, 264 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g

This innovative volume introduces Trajectory Analysis, a new systems-based approach to measuring nonlinear dynamics in continuous change, to public health and epidemiology. It synthesizes influential strands of statistical and probability science (including chaos theory and catastrophe theory) to complement existing methods and models used in the health fields. The computational framework featured here pinpoints complex cause-and-effect processes in behavioral change as individuals and populations adjust to health interventions, with examples from neuroscience and cardiology. But this is no mere academic exercise, as the author illustrates how these methods can be harnessed toward finding real-world answers to longstanding public health problems, starting with treatment recidivism.

 Included in the coverage:

 ·         The universality of physical principles in the analysis of health and disease

·         The problem of recidivism in healthcare intervention studies

·         Stability and reversibility/irreversibility of health conditions

·         Chaos theory and sensitive dependence on initial conditions

·         Applications in health monitoring and geographic systems

·         Simulations, applications, and the challenge for public health

 A stimulating new take on statistics with powerful implications for future study, practice, and policy, Trajectory Analysis in Health Care should interest public health epidemiologists, researchers, clinicians, and policymakers. 

Zielgruppe

Research

Autoren/Hrsg.

Hollar, David W.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Nichtlineare Wissenschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie

Inhaltsverzeichnis

Longitudinal Data in Health Care: Opportunities and Necessity.-The Problem of Recidivism in Health Care Intervention Studies.- Current Epidemiological Methods.- Longitudinal Data Analysis Methods.- Linearity Versus Nonlinearity in Variable Associations and Time.- Stability and Reversibility/Irreversibility of Health Conditions.- Chaos Theory and Sensitive Dependence on Initial Conditions.- Poincare Return Maps.- Health Conditions and Behaviors as Topological Surfaces.- Applying Jacobian Matrices to Health Trajectories.- The Lyapunov Exponent.- Phase Transitions in Health and Health Behaviors.- Applications in Cardiology and Neuroscience.- Applications in Health Monitoring and Geographic Systems.- Causality and Inference.- Health Care Interventions for Long-Term Positive Results.- Appendix A. Mathematical Background.- Appendix B. Sample Programming Code for Examples.

Über Autor(innen)

David Hollar, PhD Education, MS Molecular Biology, Postdoc Community Health Disability and Employment, Associate Professor of Health Administration at Pfeiffer University, North Carolina (Current) and of Children with Genetic/Metabolic Conditions at the University of Tennessee (Past).