Research Topics
| Eva A EnnsSummaryAffiliation: Stanford University Country: USA Publications
|
Detail Information
Publications
Optimal link removal for epidemic mitigation: a two-way partitioning approachEva A Enns
Department of Electrical Engineering, Stanford University, 117 Encina Commons, Stanford, CA 94035 6019, USA
Math Biosci 235:138-47. 2012..We show that our approach achieves near optimal performance and out-performs other intuitive link removal algorithms, such as removing links in order of edge centrality...
Inferring model parameters in network-based disease simulationEva A Enns
Department of Electrical Engineering, Stanford University, Stanford, CA 94035 6019, USA
Health Care Manag Sci 14:174-88. 2011..To illustrate, we apply this modeling framework to evaluate HIV control programs in sub-Saharan Africa, including programs aimed at concurrent partnership reduction, reductions in risky sexual behavior, and scale up of HIV treatment...
Assessing effectiveness and cost-effectiveness of concurrency reduction for HIV preventionE A Enns
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Int J STD AIDS 22:558-67. 2011..Reduced concurrency among high-risk individuals appears to be most effective in reducing HIV incidence, but concurrency reduction in other risk groups may yield nearly as much benefit...
Population strategies to decrease sodium intake and the burden of cardiovascular disease: a cost-effectiveness analysisCrystal M Smith-Spangler
Veterans Affairs Palo Alto Healthcare System, Palo Alto, California, USA
Ann Intern Med 152:481-7, W170-3. 2010..Sodium consumption raises blood pressure, increasing the risk for heart attack and stroke. Several countries, including the United States, are considering strategies to decrease population sodium intake...
