Application Of An Age-Structured Deterministic Endemic Model For Disease Control In Nigeria
Victor, A. O.
Show abstract
This paper focuses on the development and analysis of the endemic model for disease control in an aged-structured population in Nigeria. Upon the model framework development, the model equations were transformed into proportions with rate of change of the different compartments forming the model, thereby reducing the model equations from twelve to ten homogenous ordinary differential equations. The model exhibits two equilibria, the endemic state and the disease-free equilibrium state while successfully achieving a Reproductive Number R0 = 0. The deterministic endemic susceptible-exposed-infected-removed-undetectable=untransmissible-susceptible (SEIRUS) model is analyzed for the existence and stability of the disease-free equilibrium state. We established that a disease-free equilibrium state exists and is locally asymptotically stable when the basic reproduction number 0 [≤] R0 < 1. Furthermore, numerical simulations were carried to complement the analytical results in investigating the effect treatment rate and the net transmission rate on recovery for both juvenile and adult sub-population in an age-structured population.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Analytical Solution of a New SEIR Model Based on Latent Period-Infectious Period Chronological Order 96%
- Modeling the initial phase of COVID-19 epidemic: The role of age and disease severity in the Basque Country, Spain 96%
- Prediction and control of COVID-19 infection based on a hybrid intelligent model 96%
Similar papers in this journal
Similar papers in this journal
- Effect of 2021 Assembly Election in India on Covid-19 Transmission 95%
- Forecast analysis of the epidemics trend of COVID-19 in the United States by a generalized fractional-order SEIR model 95%
- Analog of the Hutchinson equation in biophysical neurodynamics: from the Morris-Lecar model to a delay differential equation 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.