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Estimates of Age-Specific Reductions in HIV Prevalence in Uganda: Bayesian Melding Estimation and Probabilistic Population Forecast with an HIV-enabled Cohort Component Projection Model
Africa AIDS/HIV Bayesian melding Cohort Component Model of Population Projection estimation forecast IMIS incidence prevalence Tanzania Uganda
2014/11/21
Background: Much of our knowledge of the epidemiology and demography of HIV epidemics in Africa is derived from models fit to sparse, non-representative data. These often average over age and other im...
Half the participants in group life insurance plans of medium and large firms face reduced or discontinued benefits as they grow older; reduced coverage generally begins at age 65, frequently with a s...