@article{Ismail_Mtunya_2021, title={A Mathematical Analysis of an In-vivo Ebola Virus Transmission Dynamics Model}, volume={47}, url={https://tjs.udsm.ac.tz/index.php/tjs/article/view/828}, DOI={10.4314/tjs.v47i4.12}, abstractNote={<p>Ebola virus (EBOV) infection is a hemorrhagic and hazardous disease, which is among the most shocking threats to human health causing a large number of deaths. Currently, there are no approved curative therapies for the disease. In this study, a mathematical model for in-vivo Ebola virus transmission dynamics was analyzed. The analysis of the model mainly focused on the sensitivity of basic reproductive number, &nbsp;pertaining to the model parameters. Particularly, the sensitivity indices of all parameters of &nbsp;were computed by using the forward normalized sensitivity index method. The results showed that a slight change in the infection rate immensely influences &nbsp;while the same change in the production rate of the virus has the least impact on . Thus, , being a determining factor&nbsp; of the disease progression, deliberate control measures targeting the infection rate, the most positively sensitive parameter, are required. This implies that reducing infection rate will redirect the disease to extinction.</p> <p><strong>Keywords:&nbsp;</strong>Ebola virus infection, immune response, sensitivity index, mathematical model.</p>}, number={4}, journal={Tanzania Journal of Science}, author={Ismail, Seleman and Mtunya, Adeline Peter}, year={2021}, month={Oct.}, pages={1464–1477} }