Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/194314
Title: | Socio-Economic and Health Management of Pandemics Based on Forgotten Effects Theory |
Author: | Barcellos de Paula, Luciano Gil Lafuente, Anna Maria Castro-Rezende, Aline |
Keywords: | Presa de decisions (Estadística) Mètodes de simulació Lògica borrosa COVID-19 Statistical decision Simulation methods Fuzzy logic COVID-19 |
Issue Date: | 1-Feb-2023 |
Publisher: | Taylor & Francis Group |
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 (...) |
Note: | Versió postprint del document publicat a: https://doi.org/10.1080/01969722.2022.2058693 |
It is part of: | Cybernetics and Systems, 2023, vol. 54, num. 2, p. 239-265 |
URI: | http://hdl.handle.net/2445/194314 |
Related resource: | https://doi.org/10.1080/01969722.2022.2058693 |
ISSN: | 0196-9722 |
Appears in Collections: | Articles publicats en revistes (Empresa) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
730233.pdf | 807.26 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.