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HIV is spread through structured sexual networks, which are influenced by migration
patterns, but network-oriented studies of mobility and HIV risk behavior have been
limited.
The age pattern of increases in mortality affected by HIV: Bayesian fit of the Heligman-Pollard Model to data from the Agincourt HDSS field site in rural northeast South Africa
AIDS/HIV Bayesian inference life expectancy South AfricaAIDS/HIV Bayesian inference life expectancy South Africa
2014/11/25
Background: We investigate the sex-age-specific changes in the mortality of a prospectively monitored rural population in South Africa. We quantify changes in the age pattern of mortality efficiently ...
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...