dc.contributor.author | Kinyili, Musyoka | |
dc.contributor.author | Munyakazi, Justin B. | |
dc.contributor.author | Mukhtar, Abdulaziz Y. A. | |
dc.date.accessioned | 2023-06-14T10:13:48Z | |
dc.date.available | 2023-06-14T10:13:48Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Kinyili, 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.0264863 | en_US |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | https://doi.org/10.1371/journal.pone.0264863 | |
dc.identifier.uri | http://hdl.handle.net/10566/9084 | |
dc.description.abstract | The 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.language.iso | en | en_US |
dc.publisher | Public Library of Science | en_US |
dc.subject | Public health | en_US |
dc.subject | Covid-19 | en_US |
dc.subject | South Africa | en_US |
dc.subject | Statistics studies | en_US |
dc.subject | Vaccine development | en_US |
dc.title | Modeling the impact of combined use of Covid Alert SA app and vaccination to curb Covid-19 infections in South Africa | en_US |
dc.type | Article | en_US |