Author | Frauenthal, James C. author |
---|---|

Title | Smallpox: When Should Routine Vaccination Be Discontinued? [electronic resource] / by James C. Frauenthal |

Imprint | Boston, MA : Birkhรคuser Boston, 1981 |

Connect to | http://dx.doi.org/10.1007/978-1-4684-6719-2 |

Descript | XII, 50 p. online resource |

SUMMARY

The material discussed in this monograph should be accessible to upper level undergraduates in the mathematiยญ cal sciences. Formal prerequisites include a solid introยญ duction to calculus and one semester of probability. Although differential equations are employed, these are all linear, constant coefficient, ordinary differential equaยญ tions which are solved either by separation of variables or by introduction of an integrating factor. These techniques can be taught in a few minutes to students who have studied calculus. The models developed to describe an epidemic outbreak of smallpox are standard stochastic processes (birth-death, random walk and branching processes). While it would be helpful for students to have seen these prior to their introduction in this monograph, it is certainly not necessary. The stochastic processes are developed from first principles and then solved using elementary techยญ niques. Since all that turns out to be necessary are exยญ pected values of random variables, the differential-differยญ ence equatlon descriptions of the stochastic processes are reduced to ordinary differential equations before being solved. Students who have studied stochastic processes are generally pleased to learn that different formulations are possible for the same set of conditions. The choice of which formulation to employ depends upon what one wishes to calculate. Specifically, in Section 6 a birth-death proยญ cess is replaced by a random walk and in Section 7 a probยญ lem is formulated both as a multi-birth-death process and as a branching process

CONTENT

1. The History of Smallpdx Vaccination -- 2. The Epidemiology of Smallpox -- 3. The Mathematical Model โ{128}{148} Introduction -- 4. The Pre-Epidemic Model -- 5. The Epidemic Initiation Model -- 6. The Epidemic Subsidence Model -- 7. The Optimal Vaccination Policy -- 8. Calibrating the Model -- 9. Concluding Remarks -- Footnotes -- Appendix A: Conditional Expectations -- Appendix B: Poisson Processes and Exponentially Distributed Events -- Exercises -- Solutions

Mathematics
Mathematics
Mathematics general