Antecedents of patients Covid-19 management outcomes

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dc.contributor.authorSam Shem Otoi, Pokhariyal Ganesh P and Rogo Khama
dc.date.accessioned2024-05-13T08:45:24Z
dc.date.available2024-05-13T08:45:24Z
dc.date.issued2021
dc.descriptionJournal Article
dc.description.abstractBackground: Effective Covid-19 management calls for clear understanding of determinants of possible outcomes. The likelihood of mortality or extent of recovery are the only two eventual outcomes. Examining influences of exposure, effect multiplier, moderating, and confounding factors in Covid-19 management is key to safeguarding human life and protecting livelihoods. Method: An assessment of covid-19 resurgence preparedness was conducted in Lake Region Economic Bloc Counties of Kenya. Data on cumulative cases, mortality, vaccination, oxygen flow per minute, and ages of infected was collected. Mortality is taken as the response variable where cumulative cases is exposure variable, vaccination as moderating variable, oxygen flow rate as effect multiplier, and age taken as a confounding factor. Age frequency is used as a categorical variable and divided in three groups: 0-19, 20-49, and 50 < years. A multiple logistic regression model is formulated, fitted, and estimated. Finally, an outcome predictive model is fitted. Findings: Adjusting for all variables, the likelihood of mortality after being infected is 5.3%, (1.053:95% CI, 1.03 - 3.34). A patient is 27%, (95% CI, 7% -33%) more likely to succumb to Covid-19 because of insufficient oxygen compared to a patient without critical oxygen need. Unvaccinated patient is 1.27 times (95% CI, 1.14 -6.26) more likely to die of Covid-19 compared to the vaccinated. A patient aged (20-49) years is 21%, (95% CI, 2% -30.4%) more likely to succumb to Covid-19 compared to one aged (0-19) years. Lastly, a patient aged 50 years and older is 47%, (95% CI, 3% - 56%) more likely to succumb to Covid-19 compared to one in (0-19) years age bracket
dc.identifier.citationSam S. O., Pokhariyal G. P., and Rogo K. (2021): Antecedents of patients Covid-19 management outcomes. International Journal of Statistics and Applied Mathematics
dc.identifier.issn2456-1452
dc.identifier.urihttps://repository.daystar.ac.ke/handle/123456789/4606
dc.language.isoen
dc.publisherInternational Journal of Statistics and Applied Mathematics
dc.relation.ispartofseries6(5)
dc.subjectoxygen
dc.subjectvaccination
dc.subjectage
dc.subjectCovid-19
dc.titleAntecedents of patients Covid-19 management outcomes
dc.typeArticle

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