Modeling the impact of combined use of Covid Alert SA app and vaccination to curb Covid-19 infections in South Africa

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dc.contributor.authorKinyili, Musyoka
dc.contributor.authorMunyakazi, Justin B.
dc.contributor.authorMukhtar, Abdulaziz Y. A.
dc.date.accessioned2023-06-14T10:13:48Z
dc.date.available2023-06-14T10:13:48Z
dc.date.issued2023
dc.description.abstractThe unanticipated continued deep-rooted trend of the Severe Acute Respiratory Syndrome Corona-virus-2 the originator pathogen of the COVID-19 persists posing concurrent anxiety globally. More effort is affixed in the scientific arena via continuous investigations in a prolific effort to understand the transmission dynamics and control measures in eradication of the epidemic. Both pharmaceutical and non-pharmaceutical containment measure protocols have been assimilated in this effort. In this study, we develop a modified SEIR deterministic model that factors in alternative-amalgamation of use of COVID Alert SA app and vaccination against the COVID-19 to the Republic of South Africa’s general public in an endeavor to discontinue the chain of spread for the pandemic. We analyze the key properties of the model not limited to positivity, boundedness, and stability.en_US
dc.identifier.citationKinyili, M. et al. (2023). Modeling the impact of combined use of Covid Alert SA app and vaccination to curb Covid-19 infections in South Africa. PLoS ONE, 18(2), e0264863. https://doi.org/10.1371/journal. pone.0264863en_US
dc.identifier.issn1932-6203
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0264863
dc.identifier.urihttp://hdl.handle.net/10566/9084
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.subjectPublic healthen_US
dc.subjectCovid-19en_US
dc.subjectSouth Africaen_US
dc.subjectStatistics studiesen_US
dc.subjectVaccine developmenten_US
dc.titleModeling the impact of combined use of Covid Alert SA app and vaccination to curb Covid-19 infections in South Africaen_US
dc.typeArticleen_US

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