Author Page for Lauren Ancel Meyers

Comparative Cost-Effectiveness of SARS-CoV-2 Testing Strategies

Number of pages: 20 Posted: 10 Nov 2020

Zhanwei Du, Abhishek Pandey, Yuan Bai, Meagan C. Fitzpatrick, Matteo Chinazzi, Ana Pastore y Piontti, Michael Lachmann, Alessandro Vespignani, Benjamin J. Cowling, Alison P. Galvani and Lauren Ancel Meyers

University of Texas at Austin, Yale University - Center for Infectious Disease Modeling and Analysis (CIDMA), The University of Hong Kong, Yale University - Center for Infectious Disease Modeling and Analysis (CIDMA), Northeastern University - Laboratory for the Modeling of Biological and Socio-Technical Systems (MOBS Lab), Northeastern University (USA) - Laboratory for the Modeling of Biological and Socio-technical Systems, Santa Fe Institute, Northeastern University (USA) - Laboratory for the Modeling of Biological and Socio-technical Systems, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, Yale University - Center for Infectious Disease Modeling and Analysis (CIDMA) and University of Texas at Austin

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Citation 3

Abstract:

2.

Cost Effective Proactive Testing Strategies During COVID-19 Mass Vaccination: A Modelling Study

Number of pages: 25 Posted: 01 Jul 2021

Zhanwei Du, Lin Wang, Yuan Bai, Xutong Wang, Abhishek Pandey, Matteo Chinazzi, Ana Pastore y Piontti, Nathaniel Hupert, Michael Lachmann, Alessandro Vespignani, Alison P. Galvani, Benjamin J. Cowling and Lauren Ancel Meyers

University of Texas at Austin, University of Cambridge - Department of Genetics, The University of Hong Kong, University of Texas at Austin, Yale University, Northeastern University - Laboratory for the Modeling of Biological and Socio-Technical Systems (MOBS Lab), Northeastern University (USA), Departments of Population Health Sciences and of Medicine, Weill Cornell Medicine, and Cornell Institute for Disease and Disaster Preparedness, Santa Fe Institute, Northeastern University (USA), - Center for Vaccine Development and Global Health, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control and University of Texas at Austin

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Abstract:

3.

Community-Level Selection Evolves Group Assemblage Phenotypes Inaccessible Through Individual-Level Selection in a Simple Agent-Based Model with Emergent Behavior

Number of pages: 61 Posted: 12 Apr 2025

C. M. Williams, Emma M. Miller, Lauren Ancel Meyers and Eric L. Miller

Haverford College, Haverford College, University of Texas at Austin and Haverford College

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Lauren Ancel Meyers

University of Texas at Austin

Santa Fe Institute

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Scholarly Papers (3)

Comparative Cost-Effectiveness of SARS-CoV-2 Testing Strategies

Abstract:

Cost Effective Proactive Testing Strategies During COVID-19 Mass Vaccination: A Modelling Study

Abstract:

Community-Level Selection Evolves Group Assemblage Phenotypes Inaccessible Through Individual-Level Selection in a Simple Agent-Based Model with Emergent Behavior

Abstract: