Equation-Based Modeling vs. Agent-Based Modeling with Applications to the Spread of COVID-19 Outbreak
Mathematics
; 11(1):253, 2023.
Article
in English
| MDPI | ID: covidwho-2166707
ABSTRACT
In this paper, we explore two modeling approaches to understanding the dynamics of infectious diseases in the population equation-based modeling (EBM) and agent-based modeling (ABM). To achieve this, a comparative study of these approaches was conducted and we highlighted their advantages and disadvantages. Two case studies on the spread of the COVID-19 pandemic were carried out using both approaches. The results obtained show that differential equation-based models are faster but still simplistic, while agent-based models require more machine capabilities but are more realistic and very close to biology. Based on these outputs, it seems that the coupling of both approaches could be an interesting compromise.
Full text:
Available
Collection:
Databases of international organizations
Database:
MDPI
Language:
English
Journal:
Mathematics
Year:
2023
Document Type:
Article
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