Investigating the Impact of TB or COVID-19 Infections on a Population Suffering from TB/COVID-19 Coinfection

Simple item page
dc.contributor.authorGithinji, Mary Ng’endo
dc.contributor.authorChepkwony, Isaac
dc.date.accessioned2024-10-08T11:42:03Z
dc.date.available2024-10-08T11:42:03Z
dc.date.issued2024
dc.descriptionJournal Article
dc.description.abstractThe discovery that the spread of tuberculosis reduced significantly in the last two years has been associated with the preventive measures placed to combat the spread of COVID-19. This shows a string correlation between the spread of COVID-19 and tuberculosis in any population. It is worth noting that tuberculosis and COVID-19 are among the leading most deadly diseases in the world today. The correlation in their spread also leaves us to believe that the spread of one can enhance the spread of the other. Hence, we propose the situation where a population is co-infected with the two diseases. The mathematical model is formulated using conservative laws and the resulting model analysed. The stability of the co-infection is analysed and the non-negativity conditions for the solution is established. It is found that tuberculosis sub-population reaches the highest capacity when the recruitment into the COVID-19 subpopulation is the lowest while the COVID 19 sub-population is attained when the rate of recruitment into the COVID-19 subpopulation is the highest.
dc.identifier.citationGithinji, M. N., & Chepkwony, I. (2024). Investigating the Impact of TB or COVID-19 Infections on a Population Suffering from TB/COVID-19 Coinfection. Asian Journal of Probability and Statistics, 26(6), 49–62.
dc.identifier.issn2582-0230
dc.identifier.urihttps://ir-library.ku.ac.ke/handle/123456789/29094
dc.language.isoen
dc.publisherAsian Journal of Probability and Statistics
dc.titleInvestigating the Impact of TB or COVID-19 Infections on a Population Suffering from TB/COVID-19 Coinfection
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Full-text journal article.pdf
Size:
1.2 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
RP-Department of Mathematics