Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation

Infectious diseases are drawing our attention again. In recent years, we have been confronted with SARS, bird-flu, swine-flu and many other severe diseases. In addition, pathogens are getting resistant to drugs controlling them. In this paper we establish a new population dynamical system of infecti...

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Detalles Bibliográficos
Autores principales: An, Le Thi Thanh, Jäger, Willi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121577/
http://dx.doi.org/10.1007/978-3-642-30367-8_8
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author An, Le Thi Thanh
Jäger, Willi
author_facet An, Le Thi Thanh
Jäger, Willi
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collection PubMed
description Infectious diseases are drawing our attention again. In recent years, we have been confronted with SARS, bird-flu, swine-flu and many other severe diseases. In addition, pathogens are getting resistant to drugs controlling them. In this paper we establish a new population dynamical system of infectious diseases including drug treatment. We take into account both sensitive and resistant parasites. The unknown model parameters are fitted based on a set of data for malaria from Cisse, Burkina Faso. The fitted model is used to investigate the influence of drug treatment on drug resistance. Based on these investigations, treatment strategies to reduce drug resistance can be elaborated.
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spelling pubmed-71215772020-04-06 Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation An, Le Thi Thanh Jäger, Willi Model Based Parameter Estimation Article Infectious diseases are drawing our attention again. In recent years, we have been confronted with SARS, bird-flu, swine-flu and many other severe diseases. In addition, pathogens are getting resistant to drugs controlling them. In this paper we establish a new population dynamical system of infectious diseases including drug treatment. We take into account both sensitive and resistant parasites. The unknown model parameters are fitted based on a set of data for malaria from Cisse, Burkina Faso. The fitted model is used to investigate the influence of drug treatment on drug resistance. Based on these investigations, treatment strategies to reduce drug resistance can be elaborated. 2012-08-03 /pmc/articles/PMC7121577/ http://dx.doi.org/10.1007/978-3-642-30367-8_8 Text en © Springer-Verlag Berlin Heidelberg 2013 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
An, Le Thi Thanh
Jäger, Willi
Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation
title Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation
title_full Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation
title_fullStr Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation
title_full_unstemmed Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation
title_short Drug Resistance in Infectious Diseases: Modeling, Parameter Estimation and Numerical Simulation
title_sort drug resistance in infectious diseases: modeling, parameter estimation and numerical simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121577/
http://dx.doi.org/10.1007/978-3-642-30367-8_8
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