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- W1567691196 abstract "Mathematical models have played a key role in the formulation of tuberculosis (TB) control strategies and the establishment of interim goals for intervention programs. Most of these models are of the SEIR class in which the host population is categorized by infection status as susceptible (S), exposed (infected but not yet infectious) (E), infectious (I) and recovered (R). One of the principal attributes of these models is that the force of infection is a function of the number of infectious hosts in the population at any time and is thus a nonlinear term. Other transitions, such as the recovery of infectious and death, are modeled as linear terms with constant coefficients. The enormous public health burden inflicted by tuberculosis necessitates the use of mathematical modeling to gain insights into the transmission dynamics and determine effective control strategies. This chapter discusses this mathematical modeling concept in detail." @default.
- W1567691196 created "2016-06-24" @default.
- W1567691196 creator A5043946436 @default.
- W1567691196 date "2014-03-01" @default.
- W1567691196 modified "2023-09-26" @default.
- W1567691196 title "Tuberculosis with Differential Infectivity" @default.
- W1567691196 cites W2040280016 @default.
- W1567691196 doi "https://doi.org/10.1002/9781118705070.ch7" @default.
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