کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
15204 | 1391 | 2012 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A state-time epidemiology model of tuberculosis: Importance of re-infection A state-time epidemiology model of tuberculosis: Importance of re-infection](/preview/png/15204.png)
An epidemiological model is presented that considers five possible states of a population: susceptible (S), exposed (W), infectious (Y), in treatment (Z) and recovered (R). In certain instances transition rates (from one state to another) depend on the time spent in the state; therefore the states W, Y and Z depend on time and length of stay in that state - similar to age-structured models. The model is particularly amenable to describe delays of exposed persons to become infectious and re-infection of exposed persons. Other transitions that depend on state time include the case finding and diagnosis, increased death rate and treatment interruption. The mathematical model comprises of a set of partial differential and ordinary differential equations. Non-steady state solutions are first presented, followed by a bifurcation study of the stationary states.
Figure optionsDownload as PowerPoint slideHighlights
► State-time model can improve upon SEIR models.
► State-time captures important re-infection effects.
► Re-infection recycles individuals into high-transmission-risk phase.
► Increased diagnosis must coincide with increased treatment adherence.
Journal: Computational Biology and Chemistry - Volume 36, February 2012, Pages 15–22