dc.contributor.author |
Tsanou, Berge
|
|
dc.contributor.author |
Chapwanya, Michael
|
|
dc.contributor.author |
Lubuma, Jean M.-S.
|
|
dc.contributor.author |
Terefe, Yibeltal Adane
|
|
dc.date.accessioned |
2018-11-02T06:57:10Z |
|
dc.date.issued |
2018-03 |
|
dc.description.abstract |
A mathematical model presented in Berge T, Lubuma JM-S, Moremedi GM, Morris N Shava RK, A simple mathematical model for Ebola in Africa, J Biol Dyn 11(1): 42–74 (2016) for the transmission dynamics of Ebola virus is extended to incorporate vaccination and change of behavior for self-protection of susceptible individuals. In the new setting, it is shown that the disease-free equilibrium is globally asymptotically stable when the basic reproduction number R0 is less than or equal to unity and unstable when R0>1. In the latter case, the model system admits at least one endemic equilibrium point, which is locally asymptotically stable. Using the parameters relevant to the transmission dynamics of the Ebola virus disease, we give sensitivity analysis of the model. We show that the number of infectious individuals is much smaller than that obtained in the absence of any intervention. In the case of the mass action formulation with vaccination and education, we establish that the number of infectious individuals decreases as the intervention efforts increase. In the new formulation, apart from supporting the theory, numerical simulations of a nonstandard finite difference scheme that we have constructed suggests that the results on the decrease of the number of infectious individuals is valid. |
en_ZA |
dc.description.department |
Mathematics and Applied Mathematics |
en_ZA |
dc.description.embargo |
2019-03-01 |
|
dc.description.librarian |
hj2018 |
en_ZA |
dc.description.sponsorship |
The South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation: SARChI Chair in Mathematical Models and Methods in Bioengineering and Biosciences. TB and YAT acknowledge the support, in part, of DST-NRF Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS). |
en_ZA |
dc.description.uri |
https://www.worldscientific.com/worldscinet/jbs |
en_ZA |
dc.identifier.citation |
Berge, T., Chapwanya, M., Lubuma, J.M.-S. & Terefe, Y.A. 2018, 'A mathematical model for Ebola epidemic with self-protection measures', Journal of Biological Systems, vol. 26, no. 1, pp. 107-131. |
en_ZA |
dc.identifier.issn |
0218-3390 (print) |
|
dc.identifier.issn |
1793-6470 (online) |
|
dc.identifier.other |
10.1142/S0218339018500067 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/67130 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
World Scientific Publishing |
en_ZA |
dc.rights |
© 2018 World Scientific Publishing Company |
en_ZA |
dc.subject |
Ebola virus disease (EVD) |
en_ZA |
dc.subject |
Dynamical systems |
en_ZA |
dc.subject |
Behavior change |
en_ZA |
dc.subject |
Sensitivity analysis |
en_ZA |
dc.subject |
Nonstandard finite difference method |
en_ZA |
dc.subject |
Number |
en_ZA |
dc.subject |
Dynamics |
en_ZA |
dc.subject |
Environment |
en_ZA |
dc.subject |
Virus diseases |
en_ZA |
dc.subject |
Global stability |
en_ZA |
dc.title |
A mathematical model for Ebola epidemic with self-protection measures |
en_ZA |
dc.type |
Postprint Article |
en_ZA |