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This article advocates a model to differentiate between COVID-19 and other four viral chest diseases under uncertainty environment using the viruses primary symptoms and CT scans. The proposed model is based on a plithogenic set, which provides higher accurate evaluation results in an uncertain environment. The proposed model employs the best-worst method (BWM) and the technique in order of preference by similarity to ideal solution (TOPSIS). Besides, this study discusses how smart Internet of Things technology can assist medical staff in monitoring the spread of COVID-19. Experimental evaluation of the proposed model was conducted on five different chest diseases. Evaluation results demonstrate that the proposed model effectiveness in detecting the COVID-19 in all five cases achieving detection accuracy of up to 98%.<\/jats:p>","DOI":"10.1177\/1460458220952918","type":"journal-article","created":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T03:27:58Z","timestamp":1599190078000},"page":"3088-3105","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":29,"title":["A model for the effective COVID-19 identification in uncertainty environment using primary symptoms and CT scans"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2794-3936","authenticated-orcid":false,"given":"Mohamed","family":"Abdel-Basst","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rehab","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Zagazig University, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Elhoseny","sequence":"additional","affiliation":[{"name":"Mansoura University, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,9,4]]},"reference":[{"key":"bibr1-1460458220952918","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2001316"},{"key":"bibr2-1460458220952918","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30183-5"},{"key":"bibr3-1460458220952918","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.2014P7"},{"key":"bibr4-1460458220952918","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2002032"},{"key":"bibr5-1460458220952918","author":"Shan F","year":"2020","journal-title":"arXiv preprint"},{"key":"bibr6-1460458220952918","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-020-05762-w"},{"key":"bibr7-1460458220952918","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2001017"},{"key":"bibr8-1460458220952918","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30211-7"},{"key":"bibr9-1460458220952918","unstructured":"World Health Organization. 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