Eva A Enns
Affiliation: Stanford University
- 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...