{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T19:31:04Z","timestamp":1782156664240,"version":"3.54.5"},"reference-count":45,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,19]],"date-time":"2023-01-19T00:00:00Z","timestamp":1674086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia","award":["2385"],"award-info":[{"award-number":["2385"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>This work investigates a mathematical fractional-order model that depicts the Caputo growth of a new coronavirus (COVID-19). We studied the existence and uniqueness of the linked solution using the fixed point theory method. Using the Laplace Adomian decomposition method (LADM), we explored the precise solution of our model and obtained results that are stated in terms of infinite series. Numerical data were then used to demonstrate the use of the new derivative and the symmetric structure that we created. When compared to the traditional order derivatives, our results under the new hypothesis show that the innovative coronavirus model performs better.<\/jats:p>","DOI":"10.3390\/sym15020286","type":"journal-article","created":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T02:43:29Z","timestamp":1674182609000},"page":"286","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Analysis of the Mathematical Modelling of COVID-19 by Using Mild Solution with Delay Caputo Operator"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2744-6320","authenticated-orcid":false,"given":"Kinda","family":"Abuasbeh","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics, College of Science, King Faisal University, Hafuf 31982, Al Ahsa, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3610-339X","authenticated-orcid":false,"given":"Ramsha","family":"Shafqat","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, The University of Lahore, Sargodha 40100, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5221-0574","authenticated-orcid":false,"given":"Ammar","family":"Alsinai","sequence":"additional","affiliation":[{"name":"Department of Studies in Mathematics, University of Mysore, Manasagangotri, Mysore 570006, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6447-6361","authenticated-orcid":false,"given":"Muath","family":"Awadalla","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, College of Science, King Faisal University, Hafuf 31982, Al Ahsa, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2000062","DOI":"10.2807\/1560-7917.ES.2020.25.5.2000062","article-title":"Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20\u201328 January 2020","volume":"25","author":"Backer","year":"2020","journal-title":"Eurosurveillance"},{"key":"ref_2","first-page":"11","article-title":"Academic attitudes toward the role of social media in shaping electronic public opinion about crises an applied study on (corona virus crisis)","volume":"9","year":"2020","journal-title":"Inf. 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