Mathematical Epidemiology

Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated ep...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Brauer, Fred, 1932-2021, mathématicien
Άλλοι συγγραφείς: Van den Driessche, Pauline, 1941- (Διευθυντής έκδοσης), Wu, Jianhong, 1964- (Διευθυντής έκδοσης)
Μορφή: Livre numérique
Γλώσσα:Anglais
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Έκδοση:1st ed. 2008.
Σειρά:Mathematical Biosciences Subseries 1945
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Σημείωση: L'impression du document génère 411 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Mathematical epidemiology, Fred Brauer, Pauline van den Driessche, Jianhong Wu, eds., Berlin, Springer, 2008, 1 vol. (XVIII-408 p.), Lecture notes in mathematics, 978-3-540-78910-9
Περιγραφή
Περίληψη:Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca ).
Περιγραφή τεκμηρίου:L'impression du document génère 411 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Βιβλιογραφία:Notes bibliogr. Index
ISBN:9783540789116
ISSN:2524-678X
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