{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T11:18:28Z","timestamp":1769167108593,"version":"3.49.0"},"reference-count":41,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T00:00:00Z","timestamp":1636761600000},"content-version":"vor","delay-in-days":316,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006261","name":"Taif University","doi-asserted-by":"publisher","award":["TURSP-2020\/220"],"award-info":[{"award-number":["TURSP-2020\/220"]}],"id":[{"id":"10.13039\/501100006261","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>The goal of this paper is to develop an optimal statistical model to analyze COVID\u201019 data in order to model and analyze the COVID\u201019 mortality rates in Somalia. Combining the log\u2010logistic distribution and the tangent function yields the flexible extension log\u2010logistic tangent (LLT) distribution, a new two\u2010parameter distribution. This new distribution has a number of excellent statistical and mathematical properties, including a simple failure rate function, reliability function, and cumulative distribution function. Maximum likelihood estimation (MLE) is used to estimate the unknown parameters of the proposed distribution. A numerical and visual result of the Monte Carlo simulation is obtained to evaluate the use of the MLE method. In addition, the LLT model is compared to the well\u2010known two\u2010parameter, three\u2010parameter, and four\u2010parameter competitors. Gompertz, log\u2010logistic, kappa, exponentiated log\u2010logistic, Marshall\u2013Olkin log\u2010logistic, Kumaraswamy log\u2010logistic, and beta log\u2010logistic are among the competing models. Different goodness\u2010of\u2010fit measures are used to determine whether the LLT distribution is more useful than the competing models in COVID\u201019 data of mortality rate analysis.<\/jats:p>","DOI":"10.1155\/2021\/8640794","type":"journal-article","created":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T19:35:15Z","timestamp":1636832115000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Modelling the COVID\u201019 Mortality Rate with a New Versatile Modification of the Log\u2010Logistic Distribution"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4905-0044","authenticated-orcid":false,"given":"Abdisalam Hassan","family":"Muse","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8938-9187","authenticated-orcid":false,"given":"Ahlam H.","family":"Tolba","sequence":"additional","affiliation":[]},{"given":"Eman","family":"Fayad","sequence":"additional","affiliation":[]},{"given":"Ola A.","family":"Abu Ali","sequence":"additional","affiliation":[]},{"given":"M.","family":"Nagy","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1567-6383","authenticated-orcid":false,"given":"M.","family":"Yusuf","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,11,13]]},"reference":[{"key":"e_1_2_12_1_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5820435"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/00949655.2014.885977"},{"key":"e_1_2_12_3_2","doi-asserted-by":"publisher","DOI":"10.1002\/9781118033005"},{"key":"e_1_2_12_4_2","article-title":"Generalized log-logistic proportional hazard model with applications in survival analysis","volume":"3","author":"Khan S. 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