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Modeling in Immunization and Biosurveillance Research

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Part of the book series: Integrated Series in Information Systems ((ISIS,volume 27))

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This chapter introduces the key concepts in mathematical modeling of vaccine-preventable diseases, and special features of vaccination such as herd immunity, disease elimination and waning immunity. It also reviews the interface of biosurveillance with monitoring and control of vaccine-preventable diseases.

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Suggested Reading

  • Anderson, R. M. and M. M. May (1999). Infectious Diseases of Humans, Dynamics and Control. London, Oxford University Press.

    Google Scholar 

  • Heesterbeek, J. A. (2002). “A brief history of R 0and a recipe for its calculation.” Acta Biotheor 50 (3): 189–204.

    Article  PubMed  CAS  Google Scholar 

  • Hinman, A. (1999). “Eradication of vaccine-preventable diseases.” Annu Rev Public Health 20 : 211–29.

    Article  PubMed  CAS  Google Scholar 

  • Matthews, L. and M. Woolhouse (2005). “New approaches to quantifying the spread of infection.” Nat Rev Microbiol 3 (7): 529–36.

    Article  PubMed  CAS  Google Scholar 

  • Trotter, C. L., M. E. Ramsay, et al. (2003). “Rising incidence of Haemophilus influenzae type b disease in England and Wales indicates a need for a second catch-up vaccination campaign.” Commun Dis Public Health 6 (1): 55–8.

    PubMed  CAS  Google Scholar 

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Correspondence to C. Raina Macintyre .

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Macintyre, C.R., Wood, J.G., Watkins, R., Gao, Z. (2011). Modeling in Immunization and Biosurveillance Research. In: Castillo-Chavez, C., Chen, H., Lober, W., Thurmond, M., Zeng, D. (eds) Infectious Disease Informatics and Biosurveillance. Integrated Series in Information Systems, vol 27. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6892-0_12

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  • DOI: https://doi.org/10.1007/978-1-4419-6892-0_12

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