Cohort models are often used to assess disease progression over different health states, for measuring total burden over time. That logic becomes complicated when the population composition is highly dynamic in function of age and sex, with changes in health condition, in decreases of immune responses, being relocated over different healthcare settings with different infection transmission risks. Our objective is to identify an alternative to cohort modelling, which also estimates adequately the infection burden, using a transparent evaluation method, that supports decision makers in their choices of applying vaccination of older adults.
Link to the publication:
https://www.valueinhealthjournal.com/article/S1098-3015(22)03210-7/fulltext