Epidemiological Analysis of the Coronavirus Disease Outbreak with Random Effects

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dc.authoridFarman, Dr. Muhamamd/0000-0001-7616-0500
dc.authoridNAEEM, Muhammad/0000-0002-3809-2284
dc.authoridSaleem, Prof. Dr. Muhammad Umer/0000-0002-2263-3373
dc.contributor.authorFarman, Muhammad
dc.contributor.authorAhmad, Aqeel
dc.contributor.authorAkgul, Ali
dc.contributor.authorSaleem, Muhammad Umer
dc.contributor.authorNaeem, Muhammad
dc.contributor.authorBaleanu, Dumitru
dc.date.accessioned2024-12-24T19:31:00Z
dc.date.available2024-12-24T19:31:00Z
dc.date.issued2021
dc.departmentSiirt Üniversitesi
dc.description.abstractToday, coronavirus appears as a serious challenge to the whole world. Epidemiological data of coronavirus is collected through media and web sources for the purpose of analysis. New data on COVID-19 are available daily, yet information about the biological aspects of SARS-CoV-2 and epidemiological characteristics of COVID-19 remains limited, and uncertainty remains around nearly all its parameters' values. This research provides the scientific and public health communities better resources, knowledge, and tools to improve their ability to control the infectious diseases. Using the publicly available data on the ongoing pandemic, the present study investigates the incubation period and other time intervals that govern the epidemiological dynamics of the COVID-19 infections. Formulation of the testing hypotheses for different countries with a 95% level of confidence, and descriptive statistics have been calculated to analyze in which region will COVID-19 fall according to the tested hypothesized mean of different countries. The results will be helpful in decision making as well as in further mathematical analysis and control strategy. Statistical tools are used to investigate this pandemic, which will be useful for further research. The testing of the hypothesis is done for the differences in various effects including standard errors. Changes in states' variables are observed over time. The rapid outbreak of coronavirus can be stopped by reducing its transmission. Susceptible should maintain safe distance and follow precautionary measures regarding COVID-19 transmission.
dc.identifier.doi10.32604/cmc.2021.014006
dc.identifier.endpage3227
dc.identifier.issn1546-2218
dc.identifier.issn1546-2226
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85102444671
dc.identifier.scopusqualityQ1
dc.identifier.startpage3215
dc.identifier.urihttps://doi.org/10.32604/cmc.2021.014006
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7774
dc.identifier.volume67
dc.identifier.wosWOS:000624567900007
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTech Science Press
dc.relation.ispartofCmc-Computers Materials & Continua
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectCovid-19
dc.subjectinfectious disease
dc.subjectstatistical analysis
dc.subjectp-value
dc.subjectepidemiology hypothesis
dc.titleEpidemiological Analysis of the Coronavirus Disease Outbreak with Random Effects
dc.typeArticle

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