There is a long tradition of using mathematical models to generate insights into the
transmission dynamics of infectious diseases and assess the potential impact of different …

Genomic technologies have led to tremendous gains in understanding how pathogens
function, evolve and interact. Pathogen diversity is now measurable at high precision and …

Mathematical and computational modeling approaches are increasingly used as
quantitative tools in the analysis and forecasting of infectious disease epidemics. The …

For epidemiologists, evolutionary biologists, and health-care professionals, real-time and
predictive modeling of infectious disease is of growing importance. This book provides a …

Physical environment, man‐made pollution, nutrition and their mutual interactions can be
major causes of human diseases. These disease determinants have distinct spatial …

Complex systems are very often organized under the form of networks where nodes and
edges are embedded in space. Transportation and mobility networks, Internet, mobile phone …

Background A better characterization of the early growth dynamics of an epidemic is needed
to dissect the important drivers of disease transmission, refine existing transmission models …

The transmission of infectious diseases is an inherently ecological process involving
interactions among at least two, and often many, species. Not surprisingly, then, the species …

Darwinian dynamics based on mutation and selection form the core of mathematical models
for adaptation and coevolution of biological populations. The evolutionary outcome is often …

The rapid worldwide spread of severe acute respiratory syndrome demonstrated the
potential threat an infectious disease poses in a closely interconnected and interdependent …