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Optimization in the context of COVID-19 prediction and control: A literature review
This paper presents an overview of some key results from a body of optimization studies that
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …
Agent-based Markov modeling for improved COVID-19 mitigation policies
The year 2020 saw the covid-19 virus lead to one of the worst global pandemics in history.
As a result, governments around the world have been faced with the challenge of protecting …
As a result, governments around the world have been faced with the challenge of protecting …
Containing a spread through sequential learning: to exploit or to explore?
The spread of an undesirable contact process, such as an infectious disease (eg COVID-
19), is contained through testing and isolation of infected nodes. The temporal and spatial …
19), is contained through testing and isolation of infected nodes. The temporal and spatial …
Whom to Test? Active Sampling Strategies for Managing COVID-19
This paper presents methods to choose individuals to test for infection during a pandemic
such as COVID-19, characterized by high contagion and presence of asymptomatic carriers …
such as COVID-19, characterized by high contagion and presence of asymptomatic carriers …
Feasible contact tracing
Contact tracing is one of the most important tools for preventing the spread of infectious
diseases, but as the experience of COVID-19 showed, it is also next-to-impossible to …
diseases, but as the experience of COVID-19 showed, it is also next-to-impossible to …
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits
The multi-armed bandit (MAB) model is one of the most classical models to study decision-
making in an uncertain environment. In this model, a player chooses one of K possible arms …
making in an uncertain environment. In this model, a player chooses one of K possible arms …
Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19
This paper presents methods to choose individuals to test for infection during a pandemic
such as COVID-19, characterized by high contagion and presence of asymptomatic carriers …
such as COVID-19, characterized by high contagion and presence of asymptomatic carriers …
[PDF][PDF] Multiagent epidemiologic inference through realtime contact tracing
Multiagent Epidemiologic Inference through Realtime Contact Tracing Page 1 Multiagent
Epidemiologic Inference through Realtime Contact Tracing Guni Sharon Computer Science & …
Epidemiologic Inference through Realtime Contact Tracing Guni Sharon Computer Science & …
Problems in Identification and Estimation: Algorithms for Pathogen, Ancestral, and Rashomon Analysis
A Venkateswaran - 2024 - search.proquest.com
This dissertation answers three questions on identifiability and estimability that arise in
policy-making and causal discovery. First, we study contact tracing as a tool to prevent the …
policy-making and causal discovery. First, we study contact tracing as a tool to prevent the …