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|a Becker, Niels G.,
|d 1942-
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|1 https://id.oclc.org/worldcat/entity/E39PBJjmVr6pJk4c8fq7GxMF8C
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|a Modeling to inform infectious disease control /
|c Niels G. Becker.
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|a Boca Raton, FL :
|b CRC Press LLC,
|c 2015.
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300 |
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|a 1 online resource (xi, 207 pages) :
|b illustrations
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|a Chapman & Hall/CRC biostatistics series
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|a Includes bibliographical references and index.
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|a 1. Introduction -- 2. Minor outbreaks when infectives are homogeneous -- 3. Minor outbreaks in a community of households -- 4. Minor outbreaks when individuals differ -- 5. Transmission intensity function -- 6. Partially effective vaccines -- 7. Social distancing -- 8. Reducing epidemic size -- 9. Dynamics of infection incidence -- 10. Using data to inform model choice.
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|a Effectively Assess Intervention Options for Controlling Infectious DiseasesOur experiences with the human immunodeficiency virus (HIV), severe acute respiratory syndrome (SARS), and Ebola virus disease (EVD) remind us of the continuing need to be vigilant against the emergence of new infectious diseases. Mathematical modeling is increasingly used in the management of infectious disease control as a way to assess interventions relatively quickly, cheaply, and safely. Modeling to Inform Infectious Disease Control shows readers how to take advantage of these models when developing strategies to m.
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|a Communicable diseases.
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|a Infection.
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|a Infection.
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|a Modèles mathématiques.
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|2 aat
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|i has work:
|a Modeling to inform infectious disease control (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFrFXPHTRQj8QQkMbgyKMK
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
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|i Print version:
|a Becker, Niels G.
|t Modeling to Inform Infectious Disease Control.
|d Hoboken : CRC Press, ©2015
|z 9781498731065
|
830 |
|
0 |
|a Chapman & Hall/CRC biostatistics series.
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