Cargando…

Dynamic model of tuberculosis considering multi-drug resistance and their applications

Infectious diseases have always been a problem that threatens people's health and tuberculosis is one of the major. With the development of medical scientific research, drug-resistant infectious diseases have become a more intractable threat because various drugs and antibiotics are widely used...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Yi, Shi, Yi, Yao, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326219/
https://www.ncbi.nlm.nih.gov/pubmed/30839915
http://dx.doi.org/10.1016/j.idm.2018.11.001
_version_ 1783386263875747840
author Yu, Yi
Shi, Yi
Yao, Wei
author_facet Yu, Yi
Shi, Yi
Yao, Wei
author_sort Yu, Yi
collection PubMed
description Infectious diseases have always been a problem that threatens people's health and tuberculosis is one of the major. With the development of medical scientific research, drug-resistant infectious diseases have become a more intractable threat because various drugs and antibiotics are widely used in the process of fighting against infectious diseases. In this paper, an improved dynamic model of infectious diseases considering population dynamics and drug resistance is established. The feasible region, equilibrium points and stability of the model are analyzed. Based on the existing data, this model can predict the development of the epidemic situation through numerical simulation, and put forward some relevant measures and suggestions.
format Online
Article
Text
id pubmed-6326219
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher KeAi Publishing
record_format MEDLINE/PubMed
spelling pubmed-63262192019-01-18 Dynamic model of tuberculosis considering multi-drug resistance and their applications Yu, Yi Shi, Yi Yao, Wei Infect Dis Model Original Research Article Infectious diseases have always been a problem that threatens people's health and tuberculosis is one of the major. With the development of medical scientific research, drug-resistant infectious diseases have become a more intractable threat because various drugs and antibiotics are widely used in the process of fighting against infectious diseases. In this paper, an improved dynamic model of infectious diseases considering population dynamics and drug resistance is established. The feasible region, equilibrium points and stability of the model are analyzed. Based on the existing data, this model can predict the development of the epidemic situation through numerical simulation, and put forward some relevant measures and suggestions. KeAi Publishing 2018-11-17 /pmc/articles/PMC6326219/ /pubmed/30839915 http://dx.doi.org/10.1016/j.idm.2018.11.001 Text en © 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. 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
Yu, Yi
Shi, Yi
Yao, Wei
Dynamic model of tuberculosis considering multi-drug resistance and their applications
title Dynamic model of tuberculosis considering multi-drug resistance and their applications
title_full Dynamic model of tuberculosis considering multi-drug resistance and their applications
title_fullStr Dynamic model of tuberculosis considering multi-drug resistance and their applications
title_full_unstemmed Dynamic model of tuberculosis considering multi-drug resistance and their applications
title_short Dynamic model of tuberculosis considering multi-drug resistance and their applications
title_sort dynamic model of tuberculosis considering multi-drug resistance and their applications
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326219/
https://www.ncbi.nlm.nih.gov/pubmed/30839915
http://dx.doi.org/10.1016/j.idm.2018.11.001
work_keys_str_mv AT yuyi dynamicmodeloftuberculosisconsideringmultidrugresistanceandtheirapplications
AT shiyi dynamicmodeloftuberculosisconsideringmultidrugresistanceandtheirapplications
AT yaowei dynamicmodeloftuberculosisconsideringmultidrugresistanceandtheirapplications