Mathematical and Statistical Modeling for Emerging and Re-Emerging Infectious Diseases: The Ultimate Guide

As the world faces the ongoing threat of emerging and re-emerging infectious diseases, mathematical and statistical modeling has become an indispensable tool for understanding, predicting, and mitigating their impact. This comprehensive guide provides a deep dive into the mathematical and statistical techniques used to model the dynamics of infectious diseases, empowering readers with the knowledge and skills to tackle these global health challenges.

Chapter 1: to Mathematical and Statistical Modeling

• Importance and applications of mathematical and statistical modeling in infectious disease epidemiology
• Basic concepts of probability, statistics, and differential equations
• to compartmental models and their use in modeling disease transmission

Chapter 2: Deterministic Compartmental Models

• Derivation and analysis of simple deterministic compartmental models (SIR, SIS, SIRS)
• Modeling disease transmission with age-structure and spatial heterogeneity
• Applications in outbreak analysis and forecasting

Chapter 3: Stochastic Compartmental Models

• to stochastic processes and their applications in infectious disease modeling
• Development and analysis of stochastic compartmental models
• Applications in modeling disease outbreaks, vaccine efficacy, and intervention strategies

Chapter 4: Statistical Methods for Infectious Disease Data

• Overview of statistical methods for analyzing infectious disease data
• Estimation of transmission parameters, incubation periods, and reproductive numbers
• Statistical modeling of outbreak data and surveillance systems

Chapter 5: Model Fitting and Validation

• Techniques for fitting mathematical models to infectious disease data
• Model selection and validation criteria
• Uncertainty quantification and sensitivity analysis

Chapter 6: Applications in Public Health and Policy

• Use of mathematical and statistical models to inform public health policies
• Developing intervention strategies for outbreak control and prevention
• Predicting the spread and impact of emerging and re-emerging infectious diseases

Mathematical and Statistical Modeling for Emerging and Re-Emerging Infectious Diseases provides a comprehensive and up-to-date resource for researchers, public health professionals, and students seeking to understand and address the challenges posed by these global health threats. With its clear explanations, practical examples, and state-of-the-art techniques, this book empowers readers to make informed decisions and contribute to the fight against infectious diseases.

Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases

by Mei Zhang

5 out of 5

Language	:	English
File size	:	13242 KB
Screen Reader	:	Supported
Print length	:	365 pages

FREE

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Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases

by Mei Zhang

5 out of 5

Language	:	English
File size	:	13242 KB
Screen Reader	:	Supported
Print length	:	365 pages

FREE