A random walk Monte Carlo simulation study of COVID-19-like infection spread

A Markovian random walk model of epidemic spreading

(2021) Michael Bestehorn et al.   CONTINUUM MECHANICS AND THERMODYNAMICS

Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

(2020) Shi Zhao et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

COVID-19 in Brazil: “So what?”

(2020) The Lancet   LANCET

Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China

(2020) Benjamin F. Maier et al.   SCIENCE

COVID-19 lockdown induces disease-mitigating structural changes in mobility networks

(2020) Frank Schlosser et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mechanistic movement models to understand epidemic spread

(2017) Abdou Moutalab Fofana et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Power-law models for infectious disease spread

(2014) Sebastian Meyer et al.   Annals of Applied Statistics

Acceleration of evolutionary spread by long-range dispersal

(2014) Oskar Hallatschek et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A random walk model for infection on graphs: spread of epidemics & rumours with mobile agents

(2010) Moez Draief et al.   DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS

Disease spreading in populations of moving agents

(2008) A. Buscarino et al.   EPL