Utility-Based Multicriteria Model for Screening Patients under the COVID-19 Pandemic

Roselli, Lucia Reis Peixoto; Frej, Eduarda Asfora; Ferreira, Rodrigo José Pires; Alberti, Alexandre Ramalho; Almeida, Adiel Teixeira de

doi:10.1155/2020/9391251

Cited by 9 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the traditional TOPSIS method takes into consideration several alternatives and criteria, being classified in this way as a multi-criteria decision method, the present research uses the extension of the TOPSIS technique proposed by Chen ( 2000 ), adapted by Wang and Lee ( 2007 ) and used by Aquino et al ( 2019 ), Melo et al ( 2022a ) and Melo et al ( 2022b ) to order the quality attributes from the perception of the service user in online shopping. Thereby, the TOPSIS extension used in this paper cannot be classified as a multi-criteria decision method, since the definition assumes that there are at least two action alternatives that can be chosen, being motivated by the desire to achieve multiple goals, often conflicting with each other, associated with the consequences of the choice for the alternative to be followed (Almeida, 2007 , Frej et al, 2017 and Roselli et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of quality of online shopping services in times of COVID-19 based on E-S-QUAL model and Fuzzy TOPSIS method

et al. 2022

View full text Add to dashboard Cite

This paper aims to propose an approach to evaluate the quality of online shopping services in times of pandemic COVID-19, from the ordering of quality attributes taking into account customers' perception. The proposed approach was developed from a structured questionnaire containing 25 quality attributes adapted from the E-S-QUAL model and applied to consumers of online shopping services. Fuzzy set theory was used in the approach to simplify the subjectivity of human judgment, along with the extension of Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). Therefore, this research was classified as applied, exploratory, quantitative and survey. To achieve the research objective, 819 questionnaires were collected. Among the main findings, it is highlighted that the attributes “product availability”, “products with excellent quality”, “confidence in online shopping processes” and “ease of buying online” were the ones that presented the best perceptions of quality by the respondents. At the other end, the attributes "opinion sharing on social networks", "buying online is a good option when you have little time", "distraction in online shopping searches" and "shopping online is a pleasure" showed the highest level of dissatisfaction with the service. Thus, this article highlights the importance of online shopping services in times of the pandemic caused by COVID-19, and its main contribution and originality is the development of an approach that aims to support the decision-making process, establishing strategic actions for the continuous improvement of online shopping services with the reduction of subjectivity in customer perception and with successive refinements.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluation of quality of online shopping services in times of COVID-19 based on E-S-QUAL model and Fuzzy TOPSIS method

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In the same context, Janssen et al [ 9 ] perform a literature review on methods which were used to structure the screening problem. Roselli et al [ 10 ] tackled the screening problem for patients with suspected/confirmed COVID-19, considering a multiattribute model based on the utility theory.…”

Section: Introductionmentioning

confidence: 99%

Decision Model for Allocation of Intensive Care Unit Beds for Suspected COVID-19 Patients under Scarce Resources

Frej

Roselli

Ferreira

et al. 2021

Computational and Mathematical Methods in Medicine

Self Cite

View full text Add to dashboard Cite

This paper puts forward a decision model for allocation of intensive care unit (ICU) beds under scarce resources in healthcare systems during the COVID-19 pandemic. The model is built upon a portfolio selection approach under the concepts of the Utility Theory. A binary integer optimization model is developed in order to find the best allocation for ICU beds, considering candidate patients with suspected/confirmed COVID-19. Experts’ subjective knowledge and prior probabilities are considered to estimate the input data for the proposed model, considering the particular aspects of the decision problem. Since the chances of survival of patients in several scenarios may not be precisely defined due to the inherent subjectivity of such kinds of information, the proposed model works based on imprecise information provided by users. A Monte-Carlo simulation is performed to build a recommendation, and a robustness index is computed for each alternative according to its performance as evidenced by the results of the simulation.

show abstract

Formal Epistemology Meets a Coronavirus: Rational Decision and the Response to Covid-19

Sarkar

2022

Ethical Public Health Policy Within Pandemics

View full text Add to dashboard Cite

Utility-Based Multicriteria Model for Screening Patients under the COVID-19 Pandemic

Cited by 9 publications

References 27 publications

Evaluation of quality of online shopping services in times of COVID-19 based on E-S-QUAL model and Fuzzy TOPSIS method

Evaluation of quality of online shopping services in times of COVID-19 based on E-S-QUAL model and Fuzzy TOPSIS method

Decision Model for Allocation of Intensive Care Unit Beds for Suspected COVID-19 Patients under Scarce Resources

Formal Epistemology Meets a Coronavirus: Rational Decision and the Response to Covid-19

Contact Info

Product

Resources

About