Please see the attached journals and answer the below mentioned journals

2. This model can be applied to the numerous medical applications like cancer immunity and other immune vaccinations for the diseases or viruses in the open environment which are lethal and are possible to cure in the future. The virus cannot proliferate itself, it needs to infect a cell and use it as a factory for new viruses. This is implicitly considered in the term πvV , which represents the multiplication of the virus in the body, with a production rate πv. The term cv1V cv2+V denotes a non-specific viral clearance made by the innate immune system.

3. The model discussed in this paper is based on the previous study on mathematical model which describes the human immune response to the infection by YF virus. For this development of the model code was built in python programming which included libraries for solving mathematical problems. It was scipy. It was tested on different human cells and each of the antibody response generates the results of the experiments and test. The model is then evaluated using distinct scenarios, and as will be shown, it was able to qualitatively reproduce some experimental results reported in the literature. The results were found to be improved than in the previous study and the conclusion for the paper is that he validated the model with two distinct scenarios that were simulated. The first one simulates the immune response to the administration of the standard dose of the 17DD-YFV. The second one simulates the immune response to distinct doses of vaccine and then compared the two results to find out the best.

4. The impact of the problem is on the daily basis patients and medical field on verge of the first hand vaccination otherwise it could cause death and the death toll increase as the virus spread in the community. The targeted audience which can be affected by this are those which are bitten from the infected mosquitoes and those patients who suffers from the problem are the largest number of people who are constantly having diseases and a large amount of death per annual could be saved caused by this disease. In this research mathematical model is being used as a tool to assist the research in vaccinology and public health. The vaccine could help the disease to remove the virus from the body and recover the healthy cells to their original state. By the research we can prove that. This problem of having the yellow fever is transmitted from the infected with the virus and it is transferred through the mosquitoes from one person to another. Another issue is related to its adjust to reproduce some behaviors described in the literature: as the number of equations and parameters increases, so does the amount of data and information needed to adjust the model. The main problem which was to solve is that the author needs something authentic calculations to perform the experiment to show the results of that experiment as negative and for that only programming and developing an algorithm or a program is not enough. It needs the proper calculations of the human body and cells about each and every details in depth. So that’s why it was necessary to include the calculations in the immune system development. Previously the author wasn’t including proper calculations so the API for python wasn’t providing the accurate results.

References:

·  M. P. Xavier, C. R. B. Bonin, R. W. dos Santos, M. Lobosco, "On the use of Gillespie stochastic simulation algorithm in a model of the human immune system response to the Yellow Fever vaccine", Bioinformatics and Biomedicine (BIBM) 2017 IEEE International Conference on, pp. 1476-1482, 2017

Bonin, C., Fernandes, G., dos Santos, R., & Lobosco , M. (2017). A simplified mathematical-computational model of the immune response to the yellow fever vaccine. 7-8. Kumar, M., A. S., MB, M. M., Vinodini , V. M., & Lakshmi , A. K. (2018). Forecasting of Annual Crime Rate in India : A case Study . International Conference on Advances in Computing, Communications and Informatics, 6.