Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Alexander Gutfraind

Showing results (11-20 of 25) with videos related to

Pageof 3
Sort By:
Vaccine|May 24, 2025
Challenges in coverage of future hepatitis C vaccines: Review and potential solutionsKeshav Gandhi, Yash Vijay, Kimberly Page, et al.
Applied Network Science|December 12, 2018
Generating realistic scaled complex networksChristian L Staudt, Michael Hamann, Alexander Gutfraind, et al.
Journal of Urban Health : Bulletin of the New York Academy of Medicine|September 7, 2017
High-Risk Geographic Mobility Patterns among Young Urban and Suburban Persons who Inject Drugs and their Injection Network MembersBasmattee Boodram, Anna L Hotton, Louis Shekhtman, et al.
Plos One|October 1, 2015
Agent-Based Model Forecasts Aging of the Population of People Who Inject Drugs in Metropolitan Chicago and Changing Prevalence of Hepatitis C InfectionsAlexander Gutfraind, Basmattee Boodram, Nikhil Prachand, et al.
Frontiers in Public Health|October 16, 2023
Victims of human trafficking and exploitation in the healthcare system: a retrospective study using a large multi-state dataset and ICD-10 codesAlexander Gutfraind, Kezban Yagci Sokat, Guido Muscioni, et al.
Plos One|August 22, 2015
Mathematical Modeling of Hepatitis C Prevalence Reduction with Antiviral Treatment Scale-Up in Persons Who Inject Drugs in Metropolitan ChicagoDesarae Echevarria, Alexander Gutfraind, Basmattee Boodram, et al.
Healthcare (Basel, Switzerland)|March 28, 2024
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 DrugsRichard Chiu, Eric Tatara, Mary Ellen Mackesy-Amiti, et al.
Scientific Reports|January 20, 2016
Operational resilience: concepts, design and analysisAlexander A Ganin, Emanuele Massaro, Alexander Gutfraind, et al.
Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference|July 7, 2020
MULTI-OBJECTIVE MODEL EXPLORATION OF HEPATITIS C ELIMINATION IN AN AGENT-BASED MODEL OF PEOPLE WHO INJECT DRUGSEric Tatara, Nicholson T Collier, Jonathan Ozik, et al.
Vaccine|April 10, 2019
Modeling indicates efficient vaccine-based interventions for the elimination of hepatitis C virus among persons who inject drugs in metropolitan ChicagoDesarae Echevarria, Alexander Gutfraind, Basmattee Boodram, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Vaccine|May 24, 2025
Challenges in coverage of future hepatitis C vaccines: Review and potential solutionsKeshav Gandhi, Yash Vijay, Kimberly Page, et al.
Applied Network Science|December 12, 2018
Generating realistic scaled complex networksChristian L Staudt, Michael Hamann, Alexander Gutfraind, et al.
Journal of Urban Health : Bulletin of the New York Academy of Medicine|September 7, 2017
High-Risk Geographic Mobility Patterns among Young Urban and Suburban Persons who Inject Drugs and their Injection Network MembersBasmattee Boodram, Anna L Hotton, Louis Shekhtman, et al.
Plos One|October 1, 2015
Agent-Based Model Forecasts Aging of the Population of People Who Inject Drugs in Metropolitan Chicago and Changing Prevalence of Hepatitis C InfectionsAlexander Gutfraind, Basmattee Boodram, Nikhil Prachand, et al.
Frontiers in Public Health|October 16, 2023
Victims of human trafficking and exploitation in the healthcare system: a retrospective study using a large multi-state dataset and ICD-10 codesAlexander Gutfraind, Kezban Yagci Sokat, Guido Muscioni, et al.
Plos One|August 22, 2015
Mathematical Modeling of Hepatitis C Prevalence Reduction with Antiviral Treatment Scale-Up in Persons Who Inject Drugs in Metropolitan ChicagoDesarae Echevarria, Alexander Gutfraind, Basmattee Boodram, et al.
Healthcare (Basel, Switzerland)|March 28, 2024
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 DrugsRichard Chiu, Eric Tatara, Mary Ellen Mackesy-Amiti, et al.
Scientific Reports|January 20, 2016
Operational resilience: concepts, design and analysisAlexander A Ganin, Emanuele Massaro, Alexander Gutfraind, et al.
Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference|July 7, 2020
MULTI-OBJECTIVE MODEL EXPLORATION OF HEPATITIS C ELIMINATION IN AN AGENT-BASED MODEL OF PEOPLE WHO INJECT DRUGSEric Tatara, Nicholson T Collier, Jonathan Ozik, et al.
Vaccine|April 10, 2019
Modeling indicates efficient vaccine-based interventions for the elimination of hepatitis C virus among persons who inject drugs in metropolitan ChicagoDesarae Echevarria, Alexander Gutfraind, Basmattee Boodram, et al.
Pageof 3