scholarly journals Decision analysis support for evaluating transmission risk of COVID-19 in places where people gather

2021 ◽  
Vol 47 (11) ◽  
pp. 446-460
Author(s):  
Valerie Hongoh ◽  
David Maybury ◽  
Jérôme Levesque ◽  
Aamir Fazil ◽  
Ainsley Otten ◽  
...  

Background: The coronavirus diseases 2019 (COVID-19) pandemic has presented an unprecedented public health challenge. Prior to vaccination, non-pharmaceutical interventions, including closures, were necessary to help control the epidemic. With the arrival of variants of concern and insufficient population vaccination coverage, ongoing evaluation of transmission risk in settings and the use of non-pharmaceutical interventions are necessary to help control the epidemic. This study aimed to produce a framework for evaluating transmission risk in settings where individuals gather and inform decision-making. Methods: A multi-criteria decision analysis process was used to structure the framework. Fifteen criteria were identified as important to consider for COVID-19 transmission risk based on the literature. This list was ranked by experts and then categorized. The analysis was structured by the consensus list of criteria and relative positioning of each criteria within the list to produce sets of factors to consider when assessing transmission risk at gatherings. Results: Fifteen experts from across Canada participated in ranking the criteria. Strong consensus was found on the relative importance of criteria and this relative consensus was used to create four categories: critical (3 criteria); important (6 criteria); good to consider (5 criteria); and if time permits (1 criterion). Conclusion: The resulting consensus list and categories constitutes a set of important elements that can be applied to any setting as an objective and transparent framework to assess transmission risk in the venue. In conjunction with further consideration of the local epidemiology of COVID-19, an overall risk of transmission assessment can be established and uniformly implemented.

2017 ◽  
Vol 24 (2) ◽  
pp. 600-614 ◽  
Author(s):  
Chin-Yi CHEN ◽  
Gwo-Hshiung TZENG ◽  
Jih-Jeng HUANG

DEMATEL technique is a useful tool for understanding the influential relationship be­tween criteria of a systematic problematique in structural modeling, and has received much atten­tion in the field of decision analysis recently. However, the past papers focused on the applications of DEMATEL technique and ignored the convergence problem of the approach. In addition, two simple indicators, i.e., in-degree and out-degree centralities, used in DEMATEL technique cannot fully represent the insight of the network relationship. In this paper, we propose a general DE­MATEL technique which incorporated the concept based on interaction diminishing effect. The traditional DEMATEL technique can be considered as a special case of the proposed method when we ignore the effect. Later, we give six important indicators which can be used in DEMATEL tech­nique to conclude the relative importance of criteria. In addition, a numerical example is used to demonstrate the proposed method and the applications of the indicators.


2017 ◽  
Vol 8 (4) ◽  
pp. 1223 ◽  
Author(s):  
Fellipe Silva Martins ◽  
Eduardo Biagi Almeida Santos ◽  
Leonardo Vils

Creativity is essential for the emergence of innovation within organizations, both necessary for organizational survival. Several models have been proposed for organizational creativity, each containing different constructs. This research aims to verify the standardization of constructs in the literature and to verify the possible existence of two dimensions not previously explored: hierarchy between constructs (global importance) and weight of constructs (relative importance) of organizational creativity that lead to innovation. We employed Multicriteria Decision Analysis with the PAPRIKA method, which combines the advantages of numerical and verbal decision making. The creativity constructs were elicited from a detailed review of the literature from Scopus and Web of Science databases. The results contribute to the expansion of the current theory of creativity, with the application of a new method to the object and management practices.  


2019 ◽  
Author(s):  
Megan Barnes ◽  
Whitney Goodell ◽  
Robert Whittier ◽  
Kim Falinski ◽  
Tova Callendar ◽  
...  

A cocktail of land-based sources of pollution threatens coral reef ecosystems, and addressing these has become a key management and policy challenge in Hawaiʻi, US and territories, and globally. In West Maui, Hawaiʻi, nearly one quarter of all living corals were lost between 1995-2008. Onsite disposal systems (OSDS) for sewage are common contaminants for drinking water sources and nearshore waters. In recognition of this risk, the Hawaiʻi State Department of Health (DOH) is prioritizing areas for cesspool upgrades. Independently, we applied a decision analysis process to identify priority areas to address sewage pollution from OSDS in West Maui, with the objective of reducing nearshore coral reef exposure to pollution. The decision science approach is relevant to a broader context of coastal areas both statewide and in coastal systems worldwide which are struggling with identifying pollution mitigation actions on limited budgets.


Author(s):  
Ayeley P. Tchangani

Decision analysis, the mechanism by which a final decision is reached in terms of choice (choosing an alternative or a subset of alternatives from a large set of alternatives), ranking (ranking alternatives of a set from the worst to the best), classification (assigning alternatives to some known classes or categories), or sorting (clustering alternatives to form homogeneous classes or categories) is certainly the most pervasive human activity. Some decisions are made routinely and do not need sophisticated algorithms to support decision analysis process whereas other decisions need more or less complex processes to reach a final decision. Methods and models developed to solve decision analysis problems are in constant evolution going from mechanist models of operational research to more sophisticated and soft computing-oriented models that attempt to integrate human attitude (emotion, affect, fear, egoism, altruism, selfishness, etc.). This complex, soft computing and near human mechanism of problem solving is rendered possible thanks to the overwhelming computational power and data storage possibility of modern computers. The purpose of this chapter is to present new and recent developments in decision analysis that attempt to integrate human judgment through bipolarity notion.


PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e30893 ◽  
Author(s):  
Kirsty J. Bolton ◽  
James M. McCaw ◽  
Kristian Forbes ◽  
Paula Nathan ◽  
Garry Robins ◽  
...  

2019 ◽  
Vol 49 (6) ◽  
pp. 430-446 ◽  
Author(s):  
Dimitrios Gouglas ◽  
Kendall Hoyt ◽  
Elizabeth Peacocke ◽  
Aristidis Kaloudis ◽  
Trygve Ottersen ◽  
...  

2018 ◽  
Vol 29 (1) ◽  
pp. 223-236
Author(s):  
Afshan Qayyum ◽  
Tanzeela Shaheen

Abstract Hesitant fuzzy sets play a vital role in decision analysis. Although they have been proved to be a landmark in evaluating information, there are certain deficiencies in their structure. Also, in decision analysis with the aid of hesitant fuzzy sets, the relative importance of the decision makers according to their area of expertise is ignored completely, which may be misleading in some situations. These sorts of issues have been resolved in this work by using graded soft expert (GSE) sets. The proposed structure is a modified form of soft expert sets. Some basic operations have been introduced, and certain laws satisfied by them have carefully been investigated. With the aid of GSE sets, a decision-making algorithm (accompanied with an example) has been developed in which experts have been given due weightage according to their area of expertise.


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