Antecedents of patients Covid-19 management outcomes
Journal Article
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| Language: | English |
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International Journal of Statistics and Applied Mathematics
2024
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| Online Access: | https://repository.daystar.ac.ke/handle/123456789/4606 |
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| author | Sam Shem Otoi, Pokhariyal Ganesh P and Rogo Khama |
| author_facet | Sam Shem Otoi, Pokhariyal Ganesh P and Rogo Khama |
| author_sort | Sam Shem Otoi, Pokhariyal Ganesh P and Rogo Khama |
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| description | Journal Article |
| format | Article |
| id | ir-123456789-4606 |
| institution | Daystar University |
| language | English |
| publishDate | 2024 |
| publisher | International Journal of Statistics and Applied Mathematics |
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| spelling | ir-123456789-46062024-05-13T08:50:29Z Antecedents of patients Covid-19 management outcomes Sam Shem Otoi, Pokhariyal Ganesh P and Rogo Khama oxygen vaccination age Covid-19 Journal Article Background: 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 2024-05-13T08:45:24Z 2024-05-13T08:45:24Z 2021 Article Sam S. O., Pokhariyal G. P., and Rogo K. (2021): Antecedents of patients Covid-19 management outcomes. International Journal of Statistics and Applied Mathematics 2456-1452 https://repository.daystar.ac.ke/handle/123456789/4606 en 6(5) application/pdf International Journal of Statistics and Applied Mathematics |
| spellingShingle | oxygen vaccination age Covid-19 Sam Shem Otoi, Pokhariyal Ganesh P and Rogo Khama Antecedents of patients Covid-19 management outcomes |
| title | Antecedents of patients Covid-19 management outcomes |
| title_full | Antecedents of patients Covid-19 management outcomes |
| title_fullStr | Antecedents of patients Covid-19 management outcomes |
| title_full_unstemmed | Antecedents of patients Covid-19 management outcomes |
| title_short | Antecedents of patients Covid-19 management outcomes |
| title_sort | antecedents of patients covid-19 management outcomes |
| topic | oxygen vaccination age Covid-19 |
| url | https://repository.daystar.ac.ke/handle/123456789/4606 |
| work_keys_str_mv | AT samshemotoipokhariyalganeshpandrogokhama antecedentsofpatientscovid19managementoutcomes |