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Mathematical model of zika virus dynamics with vector control and sensitivity analysis
In this paper, we have developed and analyzed a deterministic Zika model considering both vector and sexual transmission route with the effect of human awareness and vector control in the absence of disease induce death. To formulate the model, we assume that the Zika virus is being first transmitte...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940694/ https://www.ncbi.nlm.nih.gov/pubmed/31911957 http://dx.doi.org/10.1016/j.idm.2019.12.001 |
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author | Biswas, Sudhanshu Kumar Ghosh, Uttam Sarkar, Susmita |
author_facet | Biswas, Sudhanshu Kumar Ghosh, Uttam Sarkar, Susmita |
author_sort | Biswas, Sudhanshu Kumar |
collection | PubMed |
description | In this paper, we have developed and analyzed a deterministic Zika model considering both vector and sexual transmission route with the effect of human awareness and vector control in the absence of disease induce death. To formulate the model, we assume that the Zika virus is being first transmitted to human by mosquito bite, and then it is being transmitted to his or her sexual partner. The system contains at most three equilibrium points among them one is the disease free and other two are endemic equilibrium points, exists under certain conditions. The theoretical analysis shows that the diseases-free equilibrium is locally and globally asymptotically stable if the basic reproduction number is less than one. Theatrically we have established that endemic equilibrium point which is locally asymptotically stable if the basic reproduction number is greater than one. The system exhibits backward bifurcation when the transmission probability per biting of susceptible mosquito with infected humans crosses the critical value. We estimate the model parameters and validate the model by fitting the model with the reported Zika infected human data from 1 to 36 week of 2016 Zika outbreak in Colombia. Furthermore, using the normalised forward sensitivity index method we have established that the model parameter mosquito biting rate, recruitment rate of mosquito, transmission probability per biting of Susceptible (infected) humans with infected (susceptible) mosquito, rate of awareness in host population, recovery rates of infected human are most sensitive parameters of the considered Zika model. Lastly, some conclusions are given to control the spreading of the Zika disease. |
format | Online Article Text |
id | pubmed-6940694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-69406942020-01-07 Mathematical model of zika virus dynamics with vector control and sensitivity analysis Biswas, Sudhanshu Kumar Ghosh, Uttam Sarkar, Susmita Infect Dis Model Original Research Article In this paper, we have developed and analyzed a deterministic Zika model considering both vector and sexual transmission route with the effect of human awareness and vector control in the absence of disease induce death. To formulate the model, we assume that the Zika virus is being first transmitted to human by mosquito bite, and then it is being transmitted to his or her sexual partner. The system contains at most three equilibrium points among them one is the disease free and other two are endemic equilibrium points, exists under certain conditions. The theoretical analysis shows that the diseases-free equilibrium is locally and globally asymptotically stable if the basic reproduction number is less than one. Theatrically we have established that endemic equilibrium point which is locally asymptotically stable if the basic reproduction number is greater than one. The system exhibits backward bifurcation when the transmission probability per biting of susceptible mosquito with infected humans crosses the critical value. We estimate the model parameters and validate the model by fitting the model with the reported Zika infected human data from 1 to 36 week of 2016 Zika outbreak in Colombia. Furthermore, using the normalised forward sensitivity index method we have established that the model parameter mosquito biting rate, recruitment rate of mosquito, transmission probability per biting of Susceptible (infected) humans with infected (susceptible) mosquito, rate of awareness in host population, recovery rates of infected human are most sensitive parameters of the considered Zika model. Lastly, some conclusions are given to control the spreading of the Zika disease. KeAi Publishing 2019-12-18 /pmc/articles/PMC6940694/ /pubmed/31911957 http://dx.doi.org/10.1016/j.idm.2019.12.001 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article Biswas, Sudhanshu Kumar Ghosh, Uttam Sarkar, Susmita Mathematical model of zika virus dynamics with vector control and sensitivity analysis |
title | Mathematical model of zika virus dynamics with vector control and sensitivity analysis |
title_full | Mathematical model of zika virus dynamics with vector control and sensitivity analysis |
title_fullStr | Mathematical model of zika virus dynamics with vector control and sensitivity analysis |
title_full_unstemmed | Mathematical model of zika virus dynamics with vector control and sensitivity analysis |
title_short | Mathematical model of zika virus dynamics with vector control and sensitivity analysis |
title_sort | mathematical model of zika virus dynamics with vector control and sensitivity analysis |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940694/ https://www.ncbi.nlm.nih.gov/pubmed/31911957 http://dx.doi.org/10.1016/j.idm.2019.12.001 |
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