The COVID-19 Crisis and Complexity in the United States

  • K. Basel
  • M. Campos
  • G. Handley
  • D. Hebert
  • E. Melendez
  • F. Onatoye
  • O. Phearum
  • S. Sawadogo
  • J. Steckbeck
  • G. Tekell
  • A. Ertas
  • U. Gulbulak
DOI: https://doi.org/10.22545/2020/00157
Keywords: Transdisciplinary, COVID-19, complexity of the pandemic, cyclomatic complexity

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. The complexity measure of the COVID-19 was investigated by using cyclomatic complexity. The results showed that the complexity of the COVID-19 is difficult to understand and handle.

Published
2021-03-05
How to Cite
Basel, K., Campos, M., Handley, G., Hebert, D., Melendez, E., Onatoye, F., Phearum, O., Sawadogo, S., Steckbeck, J., Tekell, G., Ertas, A., & Gulbulak, U. (2021). The COVID-19 Crisis and Complexity in the United States. Transdisciplinary Journal of Engineering & Science, 12. https://doi.org/10.22545/2020/00157
Issue
Vol 12 (2021)
Section
Articles