Gary Lin

Gary Lin
Center for Disease Dynamics, Economics & Policy

PhD

About

18
Publications
2,236
Reads
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102
Citations
Introduction
Gary is currently a Research Fellow at the Center for Disease Dynamics, Economics & Policy. He was formerly affiliated with the Center for Data Science in Emergency Medicine and the Center for Systems Science and Engineering at Johns Hopkins University. Gary works on applying systems modeling and simulation to various interdisciplinary domains, such as large-scale healthcare systems, infectious disease epidemiology, global sustainability, and community resilience and recovery.
Additional affiliations
August 2020 - present
Center for Disease Dynamics, Economics and Policy
Position
  • PostDoc Position
November 2018 - July 2020
Johns Hopkins Medicine
Position
  • PostDoc Position
August 2013 - October 2018
Johns Hopkins University
Position
  • Research Assistant
Education
August 2013 - December 2017
Johns Hopkins University
Field of study
  • Civil and Systems Engineering
August 2013 - May 2017
Johns Hopkins University
Field of study
  • Geography and Environmental Engineering
August 2008 - August 2012
University of Colorado Boulder
Field of study
  • Economics

Publications

Publications (18)
Article
Objective We analyzed the efficacy, cost, and cost-effectiveness of predictive decision-support systems based on surveillance interventions to reduce the spread of carbapenem-resistant Enterobacteriaceae (CRE). Design We developed a computational model that included patient movement between acute-care hospitals (ACHs), long-term care facilities (L...
Article
Full-text available
Background: COVID-19 vaccines have been approved and made available. While questions of vaccine allocation strategies have received significant attention, important questions remain regarding the potential impact of the vaccine given uncertainties regarding efficacy against transmission, availability, timing, and durability. Methods: We adapted...
Article
Full-text available
Objectives As of 13 January 2021, there have been 3 113 963 confirmed cases of SARS-CoV-2 and 74 619 deaths across the African continent. Despite relatively lower numbers of cases initially, many African countries are now experiencing an exponential increase in case numbers. Estimates of the progression of disease and potential impact of different...
Article
Full-text available
The study objective assessed the energy demand and economic cost of two hospital-based COVID-19 infection control interventions: negative pressure (NP) treatment rooms and xenon pulsed ultraviolet (XP-UV) equipment. After projecting COVID-19 hospitalizations, a Hospital Energy Model and Infection De-escalation Models quantified increases in energy...
Article
Full-text available
Artificial intelligence (AI) refers to the performance of tasks by machines ordinarily associated with human intelligence. Machine learning (ML) is a subtype of AI; it refers to the ability of computers to draw conclusions (ie, learn) from data without being directly programmed. ML builds from traditional statistical methods and has drawn significa...
Article
Objectives: Our goal was to optimize infection control of paired environmental control interventions within hospitals to reduce methicillin-resistant Staphylococcus aureus (MRSA), carbapenem-resistant Enterobacteriaceae (CRE), and vancomycin-resistant Enterococci (VRE). Background: The most widely used infection control interventions are deploymen...
Conference Paper
Full-text available
Given the continued threat of COVID-19, policymakers rely on computational models to provide statistical forecasts of deaths, hospitalizations, and case counts in order to make large-scale decisions. Another utility of models is to determine the impact of policy decisions on mitigating spread and hospitalizations. Bayesian methods achieve these obj...
Preprint
Full-text available
Policymakers make decisions about COVID-19 management in the face of considerable uncertainty. We convened multiple modeling teams to evaluate reopening strategies for a mid-sized county in the United States, in a novel process designed to fully express scientific uncertainty while reducing linguistic uncertainty and cognitive biases. For the scena...
Article
Objective: Clinical trials ensure that pharmaceutical treatments are safe, efficacious, and effective for public consumption, but are extremely complex, taking up to 10 years and $2.6 billion to complete. One main source of complexity arises from the collaboration between actors, and network science methodologies can be leveraged to explore that c...
Preprint
Full-text available
Background Mounting evidence suggests that the primary mode of transmission of SARS-CoV-2 is aerosolized transmission from close contact with infected individuals. Even though transmission is a direct result of human encounters, environmental conditions, such as lower humidity, may enhance aerosolized transmission risks similar to other respiratory...
Article
Background: The transmission of pathogenic organisms in healthcare settings is a major cause of healthcare-associated infections (HAIs). In recent years, infections with carbapenem-resistant Enterobacteriaceae (CRE) have become a significant public health threat, in part because many patients are arriving at the hospital already colonized, and colo...
Preprint
Full-text available
Objectives As of August 24th 2020, there have been 1,084,904 confirmed cases of SARS-CoV-2 and 24,683 deaths across the African continent. Despite relatively lower numbers of cases initially, many African countries are now experiencing an exponential increase in case numbers. Estimates of the progression of disease and potential impact of different...
Preprint
Full-text available
The objective of this study was to assess the energy demand and economic cost of two hospital-based COVID-19 infection control interventions. The intervention control measures evaluated include use of negative pressure (NP) treatment rooms and xenon pulsed ultraviolet (XP-UV) infection control equipment. After projecting COVID-19 hospitalizations,...
Chapter
Full-text available
The lack of global data flow in healthcare systems negatively impacts decision-making both locally and globally. This Chapter aims to introduce global health specialists to causal loop diagrams (CLDs) and system dynamics models to help them better frame, examine, and understand complex issues characteristic to data-rich ecosystems. As machine and s...
Preprint
Full-text available
Using a Bayesian approach to epidemiological compartmental modeling, we demonstrate the bomb-like behavior of exponential growth in COVID-19 cases can be explained by transmission of asymptomatic and mild cases that are typically unreported at the beginning of pandemic events due to lower prevalence of testing. We studied the exponential phase of t...
Conference Paper
Full-text available
Healthcare-associated infections (HAIs), particularly multi-drug resistant organisms, are a major source of morbidity and mortality for patients. We developed a multiscale computational model of transmission to explore the effectiveness of interventions to reduce HAIs. We utilized a state-level patient mix database from Maryland to develop a meta-p...

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Projects

Project (1)
Project
In conjunction with the MIT Collaborative Initiatives, we investigate the logjams of clinical research in the pharmaceutical treatment world through a systems perspective.