Background The propagation of communicable diseases through a population is an inherent
spatial and temporal process of great importance for modern society. For this reason a …

This chapter summarizes information about the natural foci of plague in the world. We
describe the location, main hosts, and vectors of Yersinia pestis. The ecological features of …

The COVID-19 virus outbreak has affected most of the world in 2020. This paper deals with
artificial intelligence (AI) methods that can address the problem of predicting scale …

To achieve the aim of immediately halting spread of COVID-19 it is essential to know the
dynamic behavior of the virus of intensive level of replication. Simply analyzing experimental …

Pitting corrosion is difficult to detect, predict and design against. Modeling and simulation
can help to increase the knowledge on this phenomenon as well as to make predictions on …

Susceptibles-infectives-removals (SIR) and its derivatives are the classic mathematical
models for the study of infectious diseases in epidemiology. In order to model and simulate …

Pandemic influenza has great potential to cause large and rapid increases in deaths and
serious illness. The objective of this paper is to develop an agent-based model to simulate …

The complexity associated with an epidemic defies any quantitatively reliable predictive
theoretical scheme. Here, we pursue a generalized mathematical model and cellular …

Mosquito-borne diseases, such as chikungunya, dengue, and malaria, are re-emerging and
expanding to new and formerly unaffected places, leading to a need for models which can …

Originally, cellular automata (CA) have been defined upon regular tessellations of the n-
dimensional Euclidean space, while CA on irregular tessellations have received only little …