English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Various theoretical models have been proposed to understand the basic natureof epidemics. Recent studies focus on the effects of mobility to epidemicprocess. However, uncorrelated random walk is typically assumed as the type ofmovement. In our daily life, the movement of people sometimes tends to belimited to a certain direction, which can be described by biased random walk.Here, we developed an agent-based model of susceptible-infected-recovered (SIR)epidemic process in a 2D continuous space where agents tend to move in acertain direction in addition to random movement. Moreover, we mainly focus onthe effect of the reduced mobility of infected agents. Our model assumes that,when people are infected, their movement activity is greatly reduced becausethey are physically weakened by the disease. By conducting extensivesimulations, we found that when the movement of infected people is limited, thefinal epidemic size becomes small. However, that crucially depended on themovement type of agents. Furthermore, the reduced mobility of infected agentslengthened the duration of the epidemic because the infection progressedslowly.

Reduced mobility of infected agents suppresses but lengthens disease in biased random walk