The COVID-19 Crisis and Complexity in the United States | Zendy

K. Basel | Zendy; Marcello de Brito Campos | Zendy; G Handley | Zendy; Daniella R. Hébert | Zendy; E. Meléndez | Zendy; F. Onatoye | Zendy; O. Phearum | Zendy; Saiba Sawadogo | Zendy; J. Steckbeck | Zendy; G. Tekell | Zendy; Abdülselam Ertaş | Zendy; Utku Gülbulak | Zendy

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The COVID-19 Crisis and Complexity in the United States

Author(s) -

K. Basel,

Marcello de Brito Campos,

G Handley,

Daniella R. Hébert,

E. Meléndez,

F. Onatoye,

O. Phearum,

Saiba Sawadogo,

J. Steckbeck,

G. Tekell,

Abdülselam Ertaş,

Utku Gülbulak

Publication year - 2021

Publication title -

transdisciplinary journal of engineering and science

Language(s) - English

Resource type - Journals

ISSN - 1949-0569

DOI - 10.22545/2020/00157

Subject(s) - covid-19 , cyclomatic complexity , component (thermodynamics) , key (lock) , process (computing) , computer science , data science , management science , medicine , computer security , engineering , virology , physics , disease , software , pathology , outbreak , infectious disease (medical specialty) , thermodynamics , programming language , operating system

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 transdisciplinarycollaborative effort. Interpretive Structural Modeling (ISM), a methodology for dealing with complexsystem 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.

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