Dionne M. Aleman
Dionne M. Aleman
Home
Research
Publications
Awards
Service
Teaching
Contact
Light
Dark
Automatic
Pandemic planning
A fast greedy algorithm for the critical node detection problem
Cite
A randomized algorithm with local search for containment of pandemic disease spread
In this paper we present a randomized rounding algorithm for approximating the cardinality-constrained critical node detection problem. …
Cite
DOI
A region growing algorithm for detecting critical nodes
Cite
A simulation case study to improve staffing decisions at mass immunization clinics for pandemic influenza
Mass immunization clinics (MICs) are an important component of pandemic influenza control strategies in many jurisdictions. Decisions …
Cite
DOI
Approximation algorithms for detecting critical nodes
Cite
Cost effectiveness analyses of influenza A (H1N1) vaccination programs: How accurate were they?
Three economic evaluations of pandemic influenza A (H1N1) vaccination campaigns in North America concluded that the mass vaccination …
Cite
DOI
Pandemic preparedness & response logistics: mining social contact networks for pandemic disease mitigation strategies
Cite
Deriving public policies from contact networks
Cite
Evaluation of strategies to mitigate contagion spread using social network characteristics
Computer simulation is an effective tool for assessing mitigation strategies, with recent trends concentrating on agent-based …
Cite
DOI
A large simulation experiment to test influenza pandemic behavior
Cite
«
»
Cite
×