作者: Sara Hertog
DOI: 10.1097/OLQ.0B013E31805BA84C
关键词: Mixing (physics) 、 Demography 、 Immunology 、 Population 、 Sexual partner 、 Biology 、 Acquired immunodeficiency syndrome (AIDS) 、 Heterosexuality 、 Sexual transmission 、 Sexually transmitted disease 、 Mixing patterns
摘要: Objectives This study evaluates whether the influence of sexual mixing patterns on human immunodeficiency virus (HIV) epidemic curve is sensitive to prevailing rates partner change in a population. Study design A biobehavioral macrosimulation model employed assess interacting dynamics and between population subgroups. HIV spread simulated under 2 scenarios various degrees assortativeness patterns. Results With high change, disassortativeness tends increase overall size epidemic. However, when relatively low are simulated, disassortative yields smaller pattern further influenced by underlying transmission probabilities HIV. Conclusions Each determinants must not be considered isolation. Instead, interactive nature those should accounted for discussions dynamics.