Emergency response scheme selection with T-spherical hesitant probabilistic fuzzy TODIM-TPZSG approach

This paper aims to investigate an innovative framework to handle emergency response scheme selection (ERSS) issues by integrating TODIM and TPZSG (two-person zero-sum game) methods under novel T-spherical hesitant probabilistic fuzzy set (T-SHPFS) environments. First, T-SHPFS is defined as an extension of the existing tools, which can depict the complex assessment information including several possible values of the various membership functions' degrees and the associated statistical uncertainty information. Concomitantly, T-SHPFS's normalization method, comparison laws, operation rules, cross-entropy measure and Hausdorff distance are explored. Then, an objective attribute weight determining model is constructed, considering the credibility of T-SHPF evaluations and the divergence degrees between attribute assessments simultaneously. Next, an integrated TODIM-TPZSG decision-making approach is developed to select the most desirable emergency response scheme. Finally, an illustrative example concerning the selection of the best medical waste disposal method during the COVID-19 epidemic is conducted to verify the effectiveness of the proposed TODIM-TPZSG method. Sensitivity analysis and comparisons between the TODIM-TPZSG and other representative methods are also provided to demonstrate the superiorities of the proposed method. The results reveal that the developed T-SHPFSs give DMs more assessment freedom;the proposed TODIM-TPZSG approach considers the decision makers' psychological behaviors;the ranking results of the proposed method can reflect the specific divergence degrees among the alternatives;and the needed computation burden and computational complexity are low and less affected by the number of alternatives and criteria than most current ERSS methods. © 2023

Remdesivir as a broad-spectrum antiviral drug against COVID-19.

OBJECTIVE: List the clinical data of the role of remdesivir in COVID-19, and try to make an objective evaluation and analyze its feasibility. MATERIALS AND METHODS: The keywords of "remdesivir", "COVID-19" and "SARS-CoV-2" were systematically searched in PubMed and Web of Science. After removing the repetitions, we summarize articles, letters, and comments on remdesivir in the treatment of COVID-19. RESULTS: In this review, we summarize clinical case of using remdesivir in the treatment of COVID-19, analyzed the final treatment results, and judged whether the drug was effective for the treatment of COVID-19. Also, attention was paid to the side effects of the drug. CONCLUSIONS: According to the clinical results, it was found that remdesivir was effective in the treatment of COVID-19. The drug has side effects, but the symptoms were mild and disappeared immediately after discontinuation of medication.