Optimization in the context of COVID-19 prediction and control: A literature review

E Jordan, DE Shin, S Leekha, S Azarm - Ieee Access, 2021 - ieeexplore.ieee.org
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 …

Agent-based Markov modeling for improved COVID-19 mitigation policies

R Capobianco, V Kompella, J Ault, G Sharon… - Journal of Artificial …, 2021 - jair.org
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 …

Containing a spread through sequential learning: to exploit or to explore?

X Chen, H Nikpey, J Kim, S Sarkar… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

Whom to Test? Active Sampling Strategies for Managing COVID-19

Y Wang, I Yahav, B Padmanabhan - arxiv preprint arxiv:2012.13483, 2020 - arxiv.org
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 …

Feasible contact tracing

A Venkateswaran, J Das, TH McCormick - arxiv preprint arxiv:2312.05718, 2023 - arxiv.org
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 …

Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits

B Li, CH Yeung - Chaos: An Interdisciplinary Journal of Nonlinear …, 2023 - pubs.aip.org
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 …

Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19

Y Wang, I Yahav… - Information Systems …, 2024 - pubsonline.informs.org
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 …

[PDF][PDF] Multiagent epidemiologic inference through realtime contact tracing

G Sharon, J Ault, P Stone, V Kompella… - … Agents and Multiagent …, 2021 - par.nsf.gov
Multiagent Epidemiologic Inference through Realtime Contact Tracing Page 1 Multiagent
Epidemiologic Inference through Realtime Contact Tracing Guni Sharon Computer Science & …

Time-Critical Decisions With Real-Time Information Extraction

X Chen - 2023 - search.proquest.com
Abstract The Internet of Things and the next-generation networks have led to the generation,
dissemination, and transformation of a huge amount of real-time information. The …

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 …