Alexander Gutfraind

发表

Effectiveness of isolation policies in schools: evidence from a mathematical model of influenza and COVID-19

Adam Burns, Alexander Gutfraind, A. Gutfraind, 2020, medRxiv.

Chapter 2 Optimizing Network Topology for Cascade Resilience

Alexander Gutfraind, A. Gutfraind, 2019 .

Optimizing Distribution of Pandemic Influenza Antiviral Drugs

Gregory P. Johnson, L. Meyers, A. Galvani, 2015, Emerging infectious diseases.

Integrating evidence, models and maps to enhance Chagas disease vector surveillance

J. Peterson, J. Sheen, M. Levy, 2018, PLoS neglected tropical diseases.

A graph database framework for covert network analysis: An application to the Islamic State network in Europe

Alexander Gutfraind, Michael Genkin, M. Genkin, 2017, Soc. Networks.

High-Risk Geographic Mobility Patterns among Young Urban and Suburban Persons who Inject Drugs and their Injection Network Members

H. Dahari, Alexander Gutfraind, L. Shekhtman, 2018, Journal of Urban Health.

How Do Terrorist Cells Self-Assemble: Insights from an Agent-Based Model of Radicalization

Alexander Gutfraind, M. Genkin, Alexander Gutfraind, 2011 .

Understanding Terrorist Organizations with a Dynamic Model

Alexander Gutfraind, Alexander Gutfraind, A. Gutfraind, 2008, 0811.4450.

Defining the analytical complexity of decision problems under uncertainty based on their pivotal properties

Alexander Gutfraind, A. Gutfraind, 2023, PeerJ Comput. Sci..

When do armed revolts succeed: lessons from Lanchester theory

Alexander Gutfraind, Moshe Kress, Michael P. Atkinson, 2012, J. Oper. Res. Soc..

Agent-Based Model Forecasts Aging of the Population of People Who Inject Drugs in Metropolitan Chicago and Changing Prevalence of Hepatitis C Infections

H. Dahari, A. Hailegiorgis, M. Major, 2015, PloS one.

Using massive health insurance claims data to predict very high-cost claimants: a machine learning approach pdf

Alexander Gutfraind, Yanchun Xu, Brian Hurley, 2019, ArXiv.

Modeling a dynamic bi-layer contact network of injection drug users and the spread of blood-borne infections.

Rui Fu, M. Brandeau, Alexander Gutfraind, 2016, Mathematical biosciences.

Modeling of patient virus titers suggests that availability of a vaccine could reduce hepatitis C virus transmission among injecting drug users

H. Dahari, M. Major, R. Sacks-Davis, 2018, Science Translational Medicine.

Generating realistic scaled complex networks

Ilya Safro, Christian Staudt, Alexander Gutfraind, 2016, Applied Network Science.

Multiscale network generation

Ilya Safro, Alexander Gutfraind, Lauren Ancel Meyers, 2012, 2015 18th International Conference on Information Fusion (Fusion).

Reducing Sample Size While Improving Equity in Vaccine Clinical Trials: A Machine Learning-Based Recruitment Methodology with Application to Improving Trials of Hepatitis C Virus Vaccines in People Who Inject Drugs

H. Dahari, J. Ozik, Alexander Gutfraind, 2024, Healthcare.