| dc.creator |
Mapinda, John Joel |
|
| dc.creator |
Mwanga, Gasper Godson |
|
| dc.creator |
Masanja, Verdiana |
|
| dc.date |
2020-03-03T10:10:58Z |
|
| dc.date |
2020-03-03T10:10:58Z |
|
| dc.date |
2019-10-31 |
|
| dc.date.accessioned |
2022-10-25T09:15:56Z |
|
| dc.date.available |
2022-10-25T09:15:56Z |
|
| dc.identifier |
2349-0640 |
|
| dc.identifier |
http://www.researchmathsci.org/JMItoc.html |
|
| dc.identifier |
http://dspace.nm-aist.ac.tz/handle/123456789/587 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/94711 |
|
| dc.description |
This research article published by the Journal of Mathematics and Informatics
Vol. 17, 2019, |
|
| dc.description |
Banana Xanthomonas Wilt disease (BXW) is a bacterial disease which highly
threaten banana production in east and central Africa. It is caused by a bacteria known as
Xanthomonas campestris pv. musacearum (Xcm). Mathematical modelling gives an
insight on how to best understand the transmission dynamics and control of the disease.
The existing mathematical models have not included contaminated soil in the dynamics
of BXW. In this study we formulated a model which includes contaminated soil,
calculated the basic reproduction number and carried out sensitivity analysis of some
model parameters. We further conducted numerical simulation to validate the results. The
simulations show that the infection rate by contaminated farming tools ( i
b and e
b ), the
infection rate by contaminated soil ( 2
w ), vertical disease transmission rate (q ), and the
shedding rate of Xcm bacteria in the soil (f ) are positively sensitive to the basic
reproduction number. While, the most negative sensitive parameters are the clearance
rate of Xcm bacteria from the soil ( h
m ), removal of infected plants from the farm ( r ),
harvesting ( p a ), and banana plants disease induced death rate ( d ).The result also shows
that contaminated soil contributes to the transmission and persistence of BXW disease.
Therefore, we recommend that, along with the existing control measures scientist and
technologist should carry out studies to find a way to reduce or avoid vertical disease
transmission and increase the Xcm clearance rate in the soil. Furthermore, technology for
early detection of infected plants should be brought down to the local farmers at
affordable costs. This will help stakeholders to detect and remove the infected plants
from the farm in time and hence reduce the number of secondary infections. |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
Journal of Mathematics and Informatics |
|
| dc.subject |
Contaminated Soil |
|
| dc.subject |
Mathematical Modelling |
|
| dc.subject |
Banana Production |
|
| dc.subject |
basic re-production number |
|
| dc.subject |
sensitivity analysis |
|
| dc.title |
Modelling the Transmission Dynamics of Banana Xanthomonas Wilt Disease with Contaminated Soil |
|
| dc.type |
Article |
|