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Record Nr. |
UNINA9910965678803321 |
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Autore |
Becker Niels G. <1942-> |
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Titolo |
Modeling to inform infectious disease control / / Niels G. Becker, Australian National University, Canberra, Australia |
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Pubbl/distr/stampa |
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Boca Raton, Florida : , : CRC Press, , [2015] |
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©2015 |
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ISBN |
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1-04-021166-6 |
0-429-15545-X |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (217 p.) |
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Collana |
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Chapman & Hall/CRC Biostatistics Series |
Chapman & Hall Book |
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Disciplina |
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Soggetti |
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Communicable diseases |
Infection |
Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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A Chapman and Hall book--cover. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Minor outbreaks when infectives are homogeneous; CHAPTER 3: Minor outbreaks in a community of households; CHAPTER 4: Minor outbreaks when individuals differ; CHAPTER 5: Transmission intensity function; CHAPTER 6: Partially effective vaccines; CHAPTER 7: Social distancing; CHAPTER 8: Reducing epidemic size; CHAPTER 9: Dynamics of infection incidence; CHAPTER 10: Using data to inform model choice; Terminology and notation; References; Back Cover |
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Sommario/riassunto |
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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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