GEOGRAPHICAL SEVIRD COVID-19 MODEL WITH TRAVEL RESTRICTIONS
2022 Annual Modeling and Simulation Conference, ANNSIM 2022
; 54:627-638, 2022.
Article
in English
| Scopus | ID: covidwho-2233014
ABSTRACT
Susceptible-Infected-Recovered (SIR) models have been widely used to study the spread of Covid-19. These models have been improved to include other states (e.g., exposed, deceased) as well as geographical level transmission dynamics. In this paper, we present an extension to an existing SEVIRD (Susceptible - Exposed - Vaccinated - Infected - Recovered - Death) model to include the effect of air and maritime travel as well as travel restrictions. We use the model to simulate the spread of Covid-19 through 13 different countries. The case study shown illustrates how the model can be used for rapid prototyping at a geographical level and adapted to include changing policies. © 2022 Society for Modeling & Simulation International (SCS)
Search on Google
Collection:
Databases of international organizations
Database:
Scopus
Topics:
Vaccines
Language:
English
Journal:
2022 Annual Modeling and Simulation Conference, ANNSIM 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS