Maia Martcheva is a Professor in the Department of Mathematics at the University of Florida, USA.  Her areas of interest and research include: epidemic models of multi-strain interactions, spatial epidemic modeling, immunological modeling, and immune-epidemiological modeling.

“The current book is an introductory text that starts at the level of the neophyte and gradually brings the student to the level of current research. … The target readers include advanced undergraduate and graduate students in mathematics as well as graduate students in other fields. … This is an appealing book, well-written and thoughtfully organized.” (William J. Satzer, MAA reviews, maa.org, January, 2016)“This book does not limit itself by any means to be just an introductory level textbook, aiming actually to be a comprehensive, self-contained reference text for mathematical epidemiologists. … The presentation is example-based, well thought out and very carefully organized. … The book has the clarity of a textbook while having the depth of a monograph, the author always being successful in conveying the content of a topic regardless of its difficulty.” (Paul Georgescu, zbMATH 1333.92006, 2016)

• Introduction.- Introduction to Epidemic Modeling.- The SIR Model with Demography: General Properties of Planar Systems.- Vector-Borne Diseases.- Techniques for Computing R0.- Fitting Models to Data.- Analysis of Complex ODE Epidemic Models: Global Stability.- Multi-strain Disease Dynamics.- Control Strategies.- Ecological Context of Epidemiology.- Zoonotic Disease, Avian Influenza and Non-autonomous Models.- Age-structured Epidemic Models.- Class-age Structured Epidemic Models.- Immuno-Epidemiological Modeling.- Spatial Heterogeneity in Epidemiological Models.- Discrete Epidemic Models.

Maia Martcheva is a Professor in the Department of Mathematics at the University of Florida, USA.  Her areas of interest and research include: epidemic models of multi-strain interactions, spatial epidemic modeling, immunological modeling, and immune-epidemiological modeling.

“The current book is an introductory text that starts at the level of the neophyte and gradually brings the student to the level of current research. … The target readers include advanced undergraduate and graduate students in mathematics as well as graduate students in other fields. … This is an appealing book, well-written and thoughtfully organized.” (William J. Satzer, MAA reviews, maa.org, January, 2016)“This book does not limit itself by any means to be just an introductory level textbook, aiming actually to be a comprehensive, self-contained reference text for mathematical epidemiologists. … The presentation is example-based, well thought out and very carefully organized. … The book has the clarity of a textbook while having the depth of a monograph, the author always being successful in conveying the content of a topic regardless of its difficulty.” (Paul Georgescu, zbMATH 1333.92006, 2016)

• Introduction.- Introduction to Epidemic Modeling.- The SIR Model with Demography: General Properties of Planar Systems.- Vector-Borne Diseases.- Techniques for Computing R0.- Fitting Models to Data.- Analysis of Complex ODE Epidemic Models: Global Stability.- Multi-strain Disease Dynamics.- Control Strategies.- Ecological Context of Epidemiology.- Zoonotic Disease, Avian Influenza and Non-autonomous Models.- Age-structured Epidemic Models.- Class-age Structured Epidemic Models.- Immuno-Epidemiological Modeling.- Spatial Heterogeneity in Epidemiological Models.- Discrete Epidemic Models.