Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda.

ABSTRACT:

Objectives

Mathematical modelling is of interest to study the dynamics of coronavirus disease 2019 (COVID-19), and models such as SEIR (Susceptible-Exposed-Infected-Recovered) have been considered. This article describes the development of a compartmental transmission network model - Susceptible-Exposed-Quarantine-Infectious-Infectious, undetected-Infectious, home-based care-Hospitalized-Vaccinated-Recovered-Dead - to simulate the dynamics of COVID-19 in order to account for specific measures put into place by the Government of Rwanda to prevent further spread of the disease.

Methods

The compartments of this model are connected by parameters, some of which are known from the literature, and others are estimated from available data using the least squares method. For the stab

SUBMITTER: Mpinganzima L 

PROVIDER: S-EPMC9827742 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature