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.