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dc.contributor.authorAdongo, Florence
dc.contributor.authorAminer, Titus
dc.contributor.authorOkelo, Benard
dc.contributor.authorOnyango, Benson
dc.date.accessioned2024-12-11T08:04:21Z
dc.date.available2024-12-11T08:04:21Z
dc.date.issued2024-06
dc.identifier.issn2456-8880
dc.identifier.urihttp://ir.jooust.ac.ke/handle/123456789/14214
dc.description.abstractThe COVID-19 infection is a double challenge for people infected with comorbidities such as cardiovascular, cerebrovascular and diabetes. Comorbidities have been reported to be risk factors for the complications of COVID-19 infection. In most cases, people with diabetes have much higher rates of serious complications, low rate of recovery and higher mortality rate compare to people without diabetes. According to WHO data from 13 countries evaluated, revealed that 10.2% case of death of patients with and diabetes compared of 2.5% death of patients with COVID-19 only. In this paper, we formulate a mathematical model of COVID-19 and diabetes comorbidity under vaccination. This model will contribute to knowledge in mathematics, which will be used by researchers for future references and analysis.en
dc.language.isoenen
dc.publisherResearchGateen
dc.subjectCOVID-19en
dc.subjectComorbidityen
dc.subjectCompartmenten
dc.subjectDiabetesen
dc.subjectMathematical Modelen
dc.subjectVaccinationen
dc.titleMathematical Modelling of COVID-19 and Diabetes Comorbidity under Vaccinationen
dc.typeArticleen


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