Epidemiological models of Mycobacterium tuberculosis complex infections
| Autor: | Cagri Ozcaglar, Scott Vandenberg, Kristin P. Bennett, Amina Shabbeer, Bülent Yener |
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| Rok vydání: | 2011 |
| Předmět: |
Statistics and Probability
medicine.medical_specialty Tuberculosis Antitubercular Agents HIV Infections Disease Drug resistance Models Biological General Biochemistry Genetics and Molecular Biology Article Mycobacterium tuberculosis symbols.namesake Drug Resistance Multiple Bacterial Epidemiology medicine Humans Computer Simulation Intensive care medicine General Immunology and Microbiology biology Transmission (medicine) business.industry Applied Mathematics Markov chain Monte Carlo General Medicine medicine.disease biology.organism_classification Mycobacterium tuberculosis complex Modeling and Simulation Immunology symbols General Agricultural and Biological Sciences business |
| Zdroj: | Mathematical biosciences. 236(2) |
| ISSN: | 1879-3134 |
| Popis: | The resurgence of tuberculosis in the 1990s and the emergence of drug-resistant tuberculosis in the first decade of the 21st century increased the importance of epidemiological models for the disease. Due to slow progression of tuberculosis, the transmission dynamics and its long-term effects can often be better observed and predicted using simulations of epidemiological models. This study provides a review of earlier study on modeling different aspects of tuberculosis dynamics. The models simulate tuberculosis transmission dynamics, treatment, drug resistance, control strategies for increasing compliance to treatment, HIV/TB co-infection, and patient groups. The models are based on various mathematical systems, such as systems of ordinary differential equations, simulation models, and Markov Chain Monte Carlo methods. The inferences from the models are justified by case studies and statistical analysis of TB patient datasets. |
| Databáze: | OpenAIRE |
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