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AIMS Mathematics ; 8(7):16340-16359, 2023.
Article in English | Scopus | ID: covidwho-2327432


The concept of single-valued neutrosophic sets (SVNSs) is considered as an attractive tool for dealing with highly ambiguous and uncertain information. The correlation coefficient of SVNSs acts as an important measure in the single-valued neutrosophic set theory and it has been applied in various fields, such as the pattern recognition, medical diagnosis, decision-making and also clustering analysis. To alleviate the weakness of the existing correlation coefficients, a novel statistical correlation coefficient is put forward to measure the degree of correlation between two SVNSs. This statistical correlation coefficient is developed based on the variance and covariance of SVNSs and its value is between −1 and 1. When solving the multicriteria decision making problems, the criteria show different weight values. To consider the weight information of multiple criteria, the weighted statistical correlation coefficient is developed for SVNSs. Afterwards, two numerical examples are given to show the effectiveness of the proposed statistical correlation coefficient in the pattern recognition, which can accurately classify unknown patterns into known patterns. Finally, the feasibility and practicability of the proposed correlation coefficient formula are illustrated by a practical multiple attribute decision making problem of traditional Chinese medicine diagnosis. The comparative results show that the proposed correlation coefficient formula is rational and effective. © 2023 the Author(s), licensee AIMS Press.

Zhonghua Liu Xing Bing Xue Za Zhi ; 44(4): 552-560, 2023 Apr 10.
Article in Chinese | MEDLINE | ID: covidwho-2326996


Objective: To quantitatively estimate the incidence of COVID-19 in different backgrounds, including vaccination coverage, non-pharmacological interventions (NPIs) measures, home quarantine willingness and international arrivals, and the demands of healthcare resource in Shanghai in the context of optimized epidemic prevention and control strategies. Methods: Based on the natural history of 2019-nCoV, local vaccination coverage and NPI performance, an age-structured Susceptible-Exposed-Infections-Removed (SEIR) epidemic dynamic model was established for the estimation of the incidence of COVID-19 and demand of hospital beds in Shanghai by using the data on December 1, 2022 as the basis. Results: Based on current vaccination coverage, it is estimated that 180 184 COVID-19 cases would need treatment in hospitals in Shanghai within 100 days. When the booster vaccination coverage reaches an ideal level, the number of the cases needing hospitalization would decrease by 73.20%. School closure or school closure plus workplace closure could reduce the peak demand of regular beds by 24.04% or 37.73%, respectively, compared with the situation without NPI. Increased willingness of home quarantine could reduce the number of daily new cases and delay incidence peak of COVID-19. The number of international arrivals has little impact on the development of the epidemic. Conclusions: According to the epidemiological characteristics of COVID-19 and the actual situation of vaccination in Shanghai, the incidence of COVID-19 and health resource demand might be reduced by increasing vaccination coverage and early implementation of NPI.

COVID-19 , Epidemics , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Incidence , China/epidemiology , Epidemics/prevention & control , SARS-CoV-2
12th International Conference on Information Technology in Medicine and Education, ITME 2022 ; : 283-286, 2022.
Article in English | Scopus | ID: covidwho-2320891
Advanced Technologies in Cardiovascular Bioengineering ; : 335-359, 2022.
Article in English | Scopus | ID: covidwho-2319321
Critical Care Conference: 42nd International Symposium on Intensive Care and Emergency Medicine Brussels Belgium ; 27(Supplement 1), 2023.
Article in English | EMBASE | ID: covidwho-2318517
Lung Cancer ; 178(Supplement 1):S74, 2023.
Article in English | EMBASE | ID: covidwho-2317957
21st IEEE International Conference on Ubiquitous Computing and Communications, IUCC-CIT-DSCI-SmartCNS 2022 ; : 224-230, 2022.
Article in English | Scopus | ID: covidwho-2313579
Arteriosclerosis Thrombosis and Vascular Biology TI -: The Regulatory Role Of TIFA In The Noncanonical Inflammasome ; 42, 2022.
Article in English | Web of Science | ID: covidwho-2311562
Chinese General Practice ; 26(13):1627-1633, 2023.
Article in Chinese | Scopus | ID: covidwho-2306515
Social and Personality Psychology Compass ; 2023.
Article in English | Scopus | ID: covidwho-2302035
Asian Agricultural Research ; 14(12):54-56, 2022.
Article in English | CAB Abstracts | ID: covidwho-2269003
1st Workshop on NLP for COVID-19 at the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 ; 2020.
Article in English | Scopus | ID: covidwho-2268591
Chinese Journal of Plastic and Reconstructive Surgery ; 2023.
Article in English | EMBASE | ID: covidwho-2260320
Sustainable Swine Nutrition: Second Edition ; : 547-601, 2022.
Article in English | Scopus | ID: covidwho-2258674
Chinese General Practice ; 26(13):1627-1633, 2023.
Article in Chinese | Scopus | ID: covidwho-2288775