In the present work, we offer a critical review of the mathematical models that have been
proposed to date to simulate malware propagation in a network of computers or mobile …

Infectious diseases are an important cause of human death. The study of the pathogenesis,
spread regularity, and development trend of infectious diseases not only provides a …

Mathematical modeling is a powerful tool to study the process of the spread of infectious
diseases. Among various mathematical methods for describing the spread of infectious …

The delay of an infectious disease is significant when aiming to predict its strength and
spreading patterns. In this paper the SEIR​(susceptible–exposed–infected–recovered) …

Wireless sensor networks, as a multi-hop self-organized network system formed by wireless
communication, are vulnerable to malware diffusion by breaking the data confidentiality and …

We present a new numerical, two-dimensional cellular automata framework for simulation of
the spread of an infectious disease in a region with non-homogenous spatial population …

Abstract Background. Genotyping Mycobacterium tuberculosis isolates allows study of
dynamics of tuberculosis transmission, while geoprocessing allows spatial analysis of …

Abstract Improved Susceptible-Infected-Recovered (SIR) models have been used to study
the COVID-19 pandemic. Although they can predict epidemiology curves, spatial models …

This study examines the spread of COVID-19 in São Paulo, Brazil, using a combination of
cellular automata and geographic information systems to model the epidemic's spatial …

Currently, the world has been facing the brunt of a pandemic due to a disease called COVID-
19 for the last 2 years. To study the spread of such infectious diseases it is important to not …