Discover the future of infectious disease modeling.

Discover the future of infectious disease modeling.

Unravel the Secrets

Master the capabilities of contemporary computational epidemiology to address infectious disease epidemics with the power of modern computational epidemiology.

Aimed at practising computational epidemiologists, computational scientists, researchers and public health officials, this book is a combination of mathematical approaches, computational methods as well as practice notes and computational recipes.

Equip yourself with potent knowledge and practical skills to analyze and model the spread and impact of infectious diseases in human and animal populations.

All code examples are worked out in detail in the book's companion Github repository as clear, well-commented Jupyter notebooks, ready for you to implement in your practise.

Unravel the Secrets

Master the capabilities of contemporary computational epidemiology to address infectious disease epidemics with the power of modern computational epidemiology.

Aimed at practising computational epidemiologists, computational scientists, researchers and public health officials, this book is a combination of mathematical approaches, computational methods as well as practice notes and computational recipes.

Equip yourself with potent knowledge and practical skills to analyze and model the spread and impact of infectious diseases in human and animal populations.

All code examples are worked out in detail in the book's companion Github repository as clear, well-commented Jupyter notebooks, ready for you to implement in your practise.

The Computational Modeling of Infectious Disease by Chris von Csefalvay is a critical read… every public health official, every epidemiologist, every member of the public interested in pandemics, every person working on pandemic preparedness should read this book and understand the math.

Dr Deborah Birx, MD

Former White House Coronavirus Task Force Coordinator

The Computational Modeling of Infectious Disease by Chris von Csefalvay is a critical read… every public health official, every epidemiologist, every member of the public interested in pandemics, every person working on pandemic preparedness should read this book and understand the math.

Dr Deborah Birx, MD

Former White House Coronavirus Task Force Coordinator

Revolutionise Your Approach

Geospatial models

Leverage modern geospatial models like high-resolution street network data to model epidemics in real populations.

Optimisation approaches

Respond to outbreaks better by using mathematical optimisation for resource allocation in response to pathogen models.

Complex ABMs

Simulate realistic large populations and complex behaviours using agent-based modeling.

About the Author

I'm a computational epidemiologist/data scientist working at the intersection of computational science, public health and AI. Board certified in public health, my work on COVID-19 has been featured in national media and television, and I'm the author of a number of peer-reviewed papers on the subject. I'm passionate about the power of computational models to change the world of epidemiology for the better and help us respond faster to epidemic threats. You can read more about me here.

Chris von Csefalvay holding his golden retriever puppy.

Chris von Csefalvay

CPH FRSPH FRSA MTOPRA

Learn Cutting-Edge Techniques

Spatial distribution models

Predict spatial spread using flow networks.

Multi-risk modeling

Determine optimal vaccination strategies in risk-stratified populations.

Lyapunov exponents

Calculate the exposure of a model to non-linearities in its initial parameters using Lyapunov exponents.

CWT

Use Continuous Wavelet Transforms to identify how periodicities change over time.

Equilibria

Computationally estimate equilibria of analytically intractable models.

Random Walks

Simulate stochastic and Lévy flight behaviours over real-world networks.

Get the book now.

Get the book now.

Computational Modeling of Infectious Disease is now available on Amazon, Elsevier and all good booksellers.

© 2023 Chris von Csefalvay. All rights reserved.