The COVID-19 Crisis and Complexity in the United States
Transdisciplinary Journal of Engineering and Science
; 12:39-60, 2021.
Article
in English
| Scopus | ID: covidwho-1706929
ABSTRACT
The main objective of this research is to present a transdisciplinary research process which identifies the complexity of the issues surrounding COVID-19 using collective intelligence through transdisciplinary collaborative effort. Interpretive Structural Modeling (ISM), a methodology for dealing with complex system design and development has been the key component of this research. Building collective intelligence to understand how factors affecting COVID-19 transmission and fatality and their relationships were investigated. Two different approaches were used to describe the complexity of the COVID-19 issue. (a) the Situation Complexity and (b) Cyclomatic complexity. The results showed that the complexity of the COVID-19 is difficult to understand and handle. © 2021 by the authors.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Transdisciplinary Journal of Engineering and Science
Year:
2021
Document Type:
Article
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