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Accepted version

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2023-02-01

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/194314

Socio-Economic and Health Management of Pandemics Based on Forgotten Effects Theory

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https://doi.org/10.1080/01969722.2022.2058693

Abstract

Intense and frequent changes increase uncertainty and complexity in decision-making. The COVID-19 pandemic exacerbates this situation. Therefore, the decision-maker seeks to reduce risks and meet these challenges. The manuscript aims to identify cause-effect relationships between variables affecting countries and changes caused by the COVID-19 pandemic and propose an algorithm to facilitate decision-making by identifying forgotten effects. The authors use thematic analysis to synthesize the semi-systematic literature review findings. The applied research uses a quantitative approach through modeling and simulation (...)

Subject

Presa de decisions (Estadística), Mètodes de simulació, Lògica borrosa, COVID-19

Subject (English)

Statistical decision, Simulation methods, Fuzzy logic, COVID-19

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BARCELLOS DE PAULA, Luciano, GIL LAFUENTE, Anna Maria and CASTRO-REZENDE, Aline. Socio-Economic and Health Management of Pandemics Based on Forgotten Effects Theory. Cybernetics and Systems. 2023. Vol. 54, num. 2, pags. 239-265. ISSN 0196-9722. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/194314

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