Last edited by Brarg
Tuesday, July 21, 2020 | History

6 edition of The mathematical theory of infectious diseases and its applications found in the catalog.

The mathematical theory of infectious diseases and its applications

by Norman T. J. Bailey

  • 322 Want to read
  • 19 Currently reading

Published by Griffin in London .
Written in English

    Subjects:
  • Epidemiology -- Mathematical models

  • Edition Notes

    Statement[by] Norman T. J. Bailey.
    Classifications
    LC ClassificationsRA652.2.M3 B34 1975
    The Physical Object
    Paginationxvi, 413 p. :
    Number of Pages413
    ID Numbers
    Open LibraryOL5021596M
    ISBN 100852642318
    LC Control Number76675653

    Buy The Mathematical Theory of Infectious Diseases and Its Applications (Mathematics in Medicine series) 2nd Revised edition by Bailey, Norman T. J. (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible s: 1. Infectious diseases remain a leading cause of morbidity and mortality worldwide, with HIV, tuberculosis and malaria estimated to cause 10% of all deaths each year. New pathogens continue to emerge, as demonstrated by the SARS epidemic in , the swine flu pandemic in , MERS CoV in and Zika in

    The mathematical theory of infectious diseases and its applications. London: Griffin. MLA Citation. Bailey, Norman T. J. The mathematical theory of infectious diseases and its applications / [by] Norman T. J. Bailey Griffin London Australian/Harvard Citation. The Mathematical Theory of Infectious Diseases and Its Applications. Norman T. J. Bailey. Griffin, - Biomathematics - pages. We haven't found any reviews in the usual places. Bibliographic information. Title: The Mathematical Theory of Infectious Diseases and Its Applications Mathematics in Medicine Series.

    Mathematical Epidemiology of Infectious Diseases Model Building, Analysis and Interpretation O. Diekmann University of Utrecht, The Netherlands J.A.P. Heesterbeek Centre for Biometry Wageningen, The Netherlands The Mathematical modelling of epidemics in populations is a vast and important area of study. In this with the need to improve the utilization of AI in the context of infectious diseases, we believe that identification of earliest signs of transmission: the combination of extreme value theory and robust statistical methods-based analysis should be applied (Ferro and Segers, ; Mikosch and Wintenberger, ; Deheuvels, ; Smith.


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The mathematical theory of infectious diseases and its applications by Norman T. J. Bailey Download PDF EPUB FB2

The Mathematical Theory of Infectious Diseases (2nd Edition) [Bailey, Norman T.] on *FREE* shipping on qualifying offers. The Mathematical Theory of Infectious Diseases (2nd Edition)Cited by: The Mathematical Theory of Infectious Diseases and its Applications. (2nd edition.) By Norman T.

Bailey. London and High Wycombe, Griffin, xvi, p. 95 cm. £14Cited by: 2. Book: The mathematical theory of infectious diseases and its applications.

2nd edition. + pp. Abstract: This second edition is really a new book incorporating Dr Bailey's earlier monograph on the theory of epidemics epidemics Subject Category: MiscellaneousCited by: These mathematical models are formulated as systems of delay- differential equations.

Simple mathematical models of infectious diseases, antiviral immune response and antibacterial response were developed and applied to the study of hepatitis B, influenza A, infectious bacterial pneumonia, and mixed by: The mathematical theory of infectious diseases and its applications.

[Norman T J Bailey] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Contacts Search for a Library. Create Book\/a>, schema:CreativeWork\/a>. The Mathematical Theory of Infectious Diseases and Its Applications的话题 (全部 条) 什么是话题 无论是一部作品、一个人,还是一件事,都往往可以衍生出许多不同的话题。.

Search Tips. Phrase Searching You can use double quotes to search for a series of words in a particular order. For example, "World war II" (with quotes) will give more precise results than World war II (without quotes).

Wildcard Searching If you want to search for multiple variations of a word, you can substitute a special symbol (called a "wildcard") for one or more letters. occur [18,Mathematical epidemiology seems to have grown exponentially starting in the middle of the 20th century (the first edition in of Bailey's book [18] is an important landmark), so that a tremendous variety of models have now been formulatecl, mathematically analyzed, and applied to infectious diseases.

Re-File Size: 1MB. The mathematical theory of infectious diseases and its applications by Norman T. Bailey,Hafner Press edition, in English - 2d : This IMA Volume in Mathematics and its Applications MATHEMATICAL APPROACHES FOR EMERGING AND REEMERGING INFECTIOUS DISEASES: MODELS, AND THEORY METHODS is based on the proceedings of a successful one week workshop.

Infectious Disease Modelling Michael H ohle Department of Mathematics, Stockholm University, Sweden [email protected] 16 March This is an author-created preprint of a book chapter to appear in the Hand-book on Spatial Epidemiology edited by Andrew Lawson, Sudipto Banerjee, Robert Haining and Lola Ugarte, CRC Press.

The nal version of this. Get this from a library. The mathematical theory of infectious diseases and its applications.

[Norman T J Bailey]. Full text Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (K), or click on a page image below to browse page by page. Links to PubMed are also available for Selected by:   N.

Bailey, The Mathematical Theory of Infectious Diseases and Its Applications, Hafner Press, New York, NY, USA, 2nd edition, 被如下文章引用: TITLE: The Hopf Bifurcation Analysis and Optimal Control of a Delayed SIR Epidemic Model; AUTHORS: Abdelhadi Abta,Hassan Laarabi,Hamad Talibi Alaoui.

Access to society journal content varies across our titles. If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this : Peter R.

Odell. The Mathematical Theory of Infectious Diseases and Its Applications. Journal of the Operational Research Society: Vol. 28, No. 2, pp. The Mathematical Theory of Infectious Diseases and Its Applications P.

Giles Journal of the Operational Research Society vol pages – () Cite this articleCited by: 2. Bailey, N.T.J. () The Mathematical Theory of Infectious DISEASES and Its Applications.

2nd Edition, Hafner Press, New York. has been cited by the following article: TITLE: Mathematical Model of the Dynamics of Rumor Propagation. AUTHORS: Samuel Musa, Mohammed Fori. Mathematical models can project how infectious diseases progress to show the likely outcome of an epidemic and help inform public health interventions.

Models use basic assumptions or collected statistics along with mathematics to find parameters for various infectious diseases and use those parameters to calculate the effects of different interventions, like mass vaccination. Bailey, Norman T. The mathematical theory of infectious diseases and its applications / [by] Norman T.

Bailey Griffin London Wikipedia Citation Please see Wikipedia's template documentation for further citation fields that may be required. cerned about microorganisms and lethal infectious diseases, we have great motiva-tion to understand the spread and control of infectious diseases and their transmis-sion characteristics.

Mathematical epidemiology contributed to the understanding of the behavior of infectious diseases, its impacts and possible future predictions about its spreading.

A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century.

The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field.Whereas the use of mathematical models for understanding the dynamics of infectious diseases has already been in practice for more than a century, 26 in recent times this is an area which has grown in popularity to the extent that it is now often confused with epidemiology of infectious diseases itself.

16 Mathematical models applied to Cited by: