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Mathematical models in epidemiology
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4939-9828-9 http://cds.cern.ch/record/2700177 |
_version_ | 1780964492013731840 |
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author | Brauer, Fred Castillo-Chavez, Carlos Feng, Zhilan |
author_facet | Brauer, Fred Castillo-Chavez, Carlos Feng, Zhilan |
author_sort | Brauer, Fred |
collection | CERN |
description | The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future. There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematical background so that the book can be useful for both mathematical modelers and public health professionals. . |
id | cern-2700177 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Springer |
record_format | invenio |
spelling | cern-27001772021-04-21T18:15:09Zdoi:10.1007/978-1-4939-9828-9http://cds.cern.ch/record/2700177engBrauer, FredCastillo-Chavez, CarlosFeng, ZhilanMathematical models in epidemiologyMathematical Physics and MathematicsThe book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future. There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematical background so that the book can be useful for both mathematical modelers and public health professionals. .Springeroai:cds.cern.ch:27001772019 |
spellingShingle | Mathematical Physics and Mathematics Brauer, Fred Castillo-Chavez, Carlos Feng, Zhilan Mathematical models in epidemiology |
title | Mathematical models in epidemiology |
title_full | Mathematical models in epidemiology |
title_fullStr | Mathematical models in epidemiology |
title_full_unstemmed | Mathematical models in epidemiology |
title_short | Mathematical models in epidemiology |
title_sort | mathematical models in epidemiology |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-1-4939-9828-9 http://cds.cern.ch/record/2700177 |
work_keys_str_mv | AT brauerfred mathematicalmodelsinepidemiology AT castillochavezcarlos mathematicalmodelsinepidemiology AT fengzhilan mathematicalmodelsinepidemiology |