Mathematical modeling and impact analysis of the use of COVID alert SA app
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
AIMS Press
Abstract
The human life-threatening novel Severe Acute Respiratory Syndrome Corona-virus-2
(SARS-CoV-2) has lasted for over a year escalating and posing simultaneous anxiety day-by-day globally since its first report in the late December 2019. The scientific arena has been kept animated
via continuous investigations in an effort to understand the spread dynamics and the impact of various mitigation measures to keep this pandemic diminished. Despite a lot of research works having
been accomplished this far, the pandemic is still deep-rooted in many regions worldwide signaling for
more scientific investigations. This study joins the field by developing a modified SEIR (SusceptibleExposed-Infectious-Removed) compartmental deterministic model whose key distinct feature is the
incorporation of the COVID Alert SA app use by the general public in prolific intention to control the
spread of the epidemic. Validation of the model is performed by fitting the model to the Republic of
South Africa’s COVID-19 cases reported data using the Maximum Likelihood Estimation algorithm
implemented in fitR package.
Description
Keywords
Covid-19, COVID alert SA app, Digital-contact-tracing technology, Mitigation measures, South Africa, Mathematical modeling
Citation
Kinyili, M. et al. (2022). Mathematical modeling and impact analysis of the use of COVID alert SA app. AIMS Public Health, 9(1), 106-128. 10.3934/publichealth.2022009