How simulation modelling can help reduce the impact of COVID-19

CSM Currie, JW Fowler, K Kotiadis, T Monks… - Journal of …, 2020 - Taylor & Francis
Modelling has been used extensively by all national governments and the World Health
Organisation in deciding on the best strategies to pursue in mitigating the effects of COVID …

Graphical dynamical systems and their applications to bio-social systems

A Adiga, CJ Kuhlman, MV Marathe, HS Mortveit… - International Journal of …, 2019 - Springer
In this review paper, we discuss graphical dynamical systems (GDSs) and their applications
to biological and social systems (bio-social systems). Traditionally, differential equation …

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

P Bhattacharya, J Chen, S Hoops… - … Journal of High …, 2023 - journals.sagepub.com
This paper describes an integrated, data-driven operational pipeline based on national
agent-based models to support federal and state-level pandemic planning and response …

[HTML][HTML] Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub

J Chen, P Bhattacharya, S Hoops, D Machi, A Adiga… - Epidemics, 2024 - Elsevier
UVA-EpiHiper is a national scale agent-based model to support the US COVID-19 Scenario
Modeling Hub (SMH). UVA-EpiHiper uses a detailed representation of the underlying social …

Iterative data-driven forecasting of the transmission and management of SARS-CoV-2/COVID-19 using social interventions at the county-level

K Newcomb, ME Smith, RE Donohue, S Wyngaard… - Scientific reports, 2022 - nature.com
The control of the initial outbreak and spread of SARS-CoV-2/COVID-19 via the application
of population-wide non-pharmaceutical mitigation measures have led to remarkable …

Distributed messaging and light streaming system for combating pandemics: A case study on spatial analysis of covid-19 geo-tagged twitter dataset

YM Özgüven, S Eken - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Real-time data processing and distributed messaging are problems that have been worked
on for a long time. As the amount of spatial data being produced has increased, coupled …

Individual and collective behavior in public health epidemiology

J Chen, B Lewis, A Marathe, M Marathe, S Swarup… - Handbook of …, 2017 - Elsevier
Behavioral and social sciences are increasingly being recognized as important components
of public health epidemiology. Communicable and noncommmunicable diseases spread …

Epidemic forecasting framework combining agent-based models and smart beam particle filtering

FS Tabataba, B Lewis, M Hosseinipour… - … conference on data …, 2017 - ieeexplore.ieee.org
Over the past decades, numerous techniques have been developed to forecast the temporal
evolution of epidemic outbreaks. This paper proposes an approach that combines high …

Synthesis of a high resolution social contact network for Delhi with application to pandemic planning

H Xia, K Nagaraj, J Chen, MV Marathe - Artificial intelligence in medicine, 2015 - Elsevier
Objective We aim to understand quantitatively how targeted-layered containment (TLC)
strategies contain an influenza pandemic in a populous urban area such as Delhi, India …

Modeling spatial contacts for epidemic prediction in a large-scale artificial city

M Zhang, A Verbraeck, R Meng… - Journal of Artificial …, 2016 - research.tudelft.nl
Spatial contacts among human beings are considered as one of the influential factors during
the transmission of contagious diseases, such as influenza and tuberculosis. Therefore …