Dataset

·2022 OPEN ACCESS

Using a real-world network to model the trade-off between stay-at-home restriction, vaccination, social distancing and working hours on COVID-19 dynamics

Ramin Nashebi YTU , Murat Sarı YTU , Seyfullah Kotil YTU

Zenodo (CERN European Organization for Nuclear Research)

Abstract

These datasets have been obtained through thousands of well-carried simulations by using the agent-based model based on a time-dynamic graph with stochastic transmission events. These simulations have been conducted on MATLAB 2019a.

Keywords

Social distance Coronavirus disease 2019 (COVID-19) Distancing Vaccination 2019-20 coronavirus outbreak Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Dynamics (music) Social network (sociolinguistics) Virology Computer science Psychology Medicine World Wide Web Social media Outbreak

Subject Areas

COVID-19 epidemiological studies ·Modeling and Simulation ·Physical Sciences