2022
DOI: 10.1177/10943420221127034
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Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

Abstract: 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. The pipeline consists of ( i) an automatic semantic-aware scheduling method that coordinates jobs across two separate high performance computing systems; ( ii) a data pipeline to collect, integrate and organize national and county-level disaggregated data for initialization and post-simulation analysis; ( iii) a digital twin of national soc… Show more

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Cited by 8 publications
(3 citation statements)
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“…Spatially, the ABM can disaggregate conflict-induced displacement at any spatial scale such as Admin-2 level Raions within Ukraine. Finally, since we model individual agents by using a synthetic population developed from publicly available data ( 19 , 20 ), migration estimates can be aggregated based on demographic characteristics including age and gender. We demonstrate policy relevance of the model in two ways.…”
Section: Introductionmentioning
confidence: 99%
“…Spatially, the ABM can disaggregate conflict-induced displacement at any spatial scale such as Admin-2 level Raions within Ukraine. Finally, since we model individual agents by using a synthetic population developed from publicly available data ( 19 , 20 ), migration estimates can be aggregated based on demographic characteristics including age and gender. We demonstrate policy relevance of the model in two ways.…”
Section: Introductionmentioning
confidence: 99%
“…On the positive side, however, more realistic investigations of disease dynamics in specific populations become possible [21]. The impacts of targeted interventions, such as lockdowns, school closures, vaccination drives, and restrictions on public transport, can be assessed more realistically than is possible with ODE-based approaches [22, 23]. An exponential expansion in computational power over the past several decades has also made simulating large-scale individual-level models progressively easier.…”
Section: Introductionmentioning
confidence: 99%
“…approaches [22,23]. An exponential expansion in computational power over the past several decades has also made simulating large-scale individual-level models progressively easier.…”
mentioning
confidence: 99%