The reason, they say, is normally that HIV epidemics can not be explained by an individual variable. A number of factors are much more likely, with some factors even more important in a few geographic areas than others. ‘The studies you need to verify causality don’t can be found,’ Lurie said. ‘None of those studies have already been done.’ The experts don’t dispute the notion that concurrent sexual romantic relationships could ‘theoretically’ play a significant role driving HIV transmission through networks of people. But before this is often proven true, Rosenthal and Lurie say, a number of analysis initiatives are required including: Related StoriesBrown University experts describe new solution to check HIV mutationsDespite decreased HIV/Helps deaths, disease still persists in South AfricaSafe, effective douche-centered rectal microbicide can prevent HIV in gay menimproved methods for measuring both sexual behavior and the duration or overlapping of sexual partnerships; a common description of concurrency.Participants’ names were changed in the analysis. Related StoriesBET protein family plays key part in regulation of normal neuronal advancement and functionUse of exergaming can improve physical and mental fitness among kids with ASDNew analysis displays rare gene mutations trigger half of most ASD casesAs each young one began building with 24 legos, the instructor praised the child with a good job from time to time, to get baseline data and decide if the kid seemed inclined to improve the color design of the legos or the framework of the legos. After obtaining baseline data about the children’s preferences experts began with the first intervention phase.