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

Motivated by the increasing number of COVID-19 cases that have been observedin many countries after the vaccination and relaxation of non-pharmaceuticalinterventions, we propose a mathematical model on time-varying networks for thespread of recurrent epidemic diseases in a partially vaccinated population. Themodel encapsulates several realistic features, such as the differenteffectiveness of the vaccine against transmission and development of severesymptoms, testing practices, the possible implementation of non-pharmaceuticalinterventions to reduce the transmission, isolation of detected individuals,and human behaviour. Using a mean-field approach, we analytically derive theepidemic threshold of the model and, if the system is above such a threshold,we compute the epidemic prevalence at the endemic equilibrium. Thesetheoretical results show that precautious human behaviour and effective testingpractices are key toward avoiding epidemic outbreaks. Interestingly, we foundthat, in many realistic scenarios, vaccination is successful in mitigating theoutbreak by reducing the prevalence of seriously ill patients, but it could bea double-edged sword, whereby in some cases it might favour resurgentoutbreaks, calling for higher testing rates, more cautiousness andresponsibility among the population, or the reintroduction ofnon-pharmaceutical interventions to achieve complete eradication.

Modelling the Effect of Vaccination and Human Behaviour on the Spread of Epidemic Diseases on Temporal Networks