On the Global Stability Analysis of Corona Virus Disease (COVID-19) Mathematical Model
William Atokolo, Achonu Omale Joseph, Rose Veronica Paul, Abdul Sunday, Thomas Ugbojoide Onoja
Asian Research Journal of Mathematics · pp. 81–87 · Published 20 Sep 2021
10.9734/arjom/2021/v17i630312Abstract
In this present work, we investigated the Global Stability Analysis of Corona virus disease model formulated by Atokolo et al in [11]. The COVID‑19 pandemic, also known as the coronavirus pandemic, is an ongoing pandemic that is ravaging the whole world. By constructing a Lyapunov function, we investigated the stability of the model Endemic Equilibrium state to be globally asymptotically stable. This results epidemiologically implies that the COVID-19 will invade the population in respective of the initial conditions (population) considered.
Cited by 0
No indexed citations yet.
Related research
- Quality Changes of Common Edible Frying Oils during Frying of Traditional Foods — shares topic coverage
- Comparison of Non Parametric Stability Statistics for Improvement of Adaptation in Wheat-Rye Disomic Addition Lines — shares topic coverage
- Genotypic × Environment Interaction and Stability Analysis for Yield and Yield Attributes in Taramira (Eruca sativa Mill.) — shares topic coverage
- Deciphering the Genotype × Environment Interaction for Identification of Superior Genotypes of Mango (Mangifera indica L.) using Ammi Stability Measures — shares topic coverage
- Assessment of Promising Diverse Germplasm Accessions for Stability with Respect to Yield and Its Attributing Traits in Vegetable Amaranth — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.