Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164643
Title: Ensuring sufficient cabin hospital beds for curbing the spread of COVID-19 - findings from petri net analysis
Authors: Chen, Chen
Xing, Zijie
Xi, Yonghui
Tiong, Robert
Keywords: Engineering::Civil engineering
Issue Date: 2022
Source: Chen, C., Xing, Z., Xi, Y. & Tiong, R. (2022). Ensuring sufficient cabin hospital beds for curbing the spread of COVID-19 - findings from petri net analysis. Heliyon, 8(10), e11202-. https://dx.doi.org/10.1016/j.heliyon.2022.e11202
Journal: Heliyon
Abstract: Due to the complexity of the virus and its rapid rate of spread, many countries face the same challenges of providing adequate medical resources. This paper provides an analytical approach for evaluating the possibility of the regional construction industry constructing a large number of cabin hospitals within a short time. The key idea is to compare the demand and supply of patient beds using a Petri net-based approach that incorporates a neural network for the prediction of demand, fuzzy logic for decision-making, and a linear model for predicting supply. The data reported in the Shanghai Omicron battle is used to validate the developed model. Our results show that the fastest conversion speed and the least manpower requirement are obtained from high-rise buildings. Then, preparing some high-rises for easy conversion into cabin hospitals seems a possible solution for future citywide preparedness toward pandemic resilience.
URI: https://hdl.handle.net/10356/164643
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2022.e11202
Schools: School of Civil and Environmental Engineering 
Rights: © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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