Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic
17th International Symposium on Bioinformatics Research and Applications, ISBRA 2021
; 13064 LNBI:22-34, 2021.
Article
in English
| Scopus | ID: covidwho-1565305
ABSTRACT
As COVID-19 vaccines have been distributed worldwide, the number of infection and death cases vary depending on the vaccination route. Therefore, computing optimal measures that will increase the vaccination effect are crucial. In this paper, we propose an Epidemic Vulnerability Index (EVI) that quantitatively evaluates the risk of COVID-19 based on clinical and social statistical feature analysis of the subject. Utilizing EVI, we investigate the optimal vaccine distribution route with a heuristic approach in order to maximize the vaccine distribution effect. Our main criterias of determining vaccination effect were set with mortality and infection rate, thus EVI was designed to effectively minimize those critical factors. We conduct vaccine distribution simulations with nine different scenarios among multiple Agent-Based Models that were constructed with real-world COVID-19 patients’ statistical data. Our result shows that vaccine distribution through EVI has an average of 5.0% lower in infection cases, 9.4% lower result in death cases, and 3.5% lower in death rates than other distribution methods. © 2021, Springer Nature Switzerland AG.
Agent, Based, Model; Clinical, data, analysis; COVID-19; Epidemic, Vulnerability, Index; Social, data, analysis; Computational, methods; Data, handling; Epidemiology; Heuristic, methods; Multi, agent, systems; Optimization; Population, statistics; Risk, assessment; Simulation, platform; Vaccines; Agent-based, model; Distribution, route; Feature, analysis; Social, data, analyse; Statistical, features; Vaccine, distributions; Vulnerability, index; Autonomous, agents
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Topics:
Vaccines
Language:
English
Journal:
17th International Symposium on Bioinformatics Research and Applications, ISBRA 2021
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS