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Outbreak Surveillance
Network analysis identifies high infection-risk individuals
January 17th, 2006
Network analysis identifies high infection-risk individuals. "Simulation studies using susceptible-infectious-recovered models were conducted to estimate individuals' risk of infection and time to infection in small-world and randomly mixing networks. "Infection transmitted more rapidly but ultimately resulted in fewer infected individuals in the small-world, compared with the random, network. The ability of measures of network centrality to identify high-risk individuals was also assessed," researchers in England report. According to R.M. Christley and colleagues at the University of Liverpool in Neston, "'Centrality' describes...
Source: TB & Outbreaks Week (2006-01-17)
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