Georgiy Bobashev

Works (4)

Updated: July 5th, 2023 15:30

2022 journal article

Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation

PLOS ONE, 17(3), e0264704.

By: E. Hadley*, S. Rhea n , K. Jones*, L. Li *, M. Stoner * & G. Bobashev*

Ed(s): A. de Sire

MeSH headings : COVID-19 / epidemiology; COVID-19 / therapy; Hospitalization; Humans; Models, Biological; North Carolina / epidemiology; Predictive Value of Tests; SARS-CoV-2
TL;DR: It is proposed that even in tumultuous scenarios with limited information like the early months of the COVID-19 pandemic, straightforward approaches like this one with discrete, attainable inputs can improve ABMs to better support stakeholders. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, Crossref, NC State University Libraries
Added: September 12, 2022

2022 journal article

Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID-19 pandemic

Infectious Disease Modelling, 7(1), 277–285.

By: A. Preiss *, E. Hadley *, K. Jones*, M. Stoner *, C. Kery *, P. Baumgartner, G. Bobashev*, J. Tenenbaum * ...

TL;DR: The results suggest that future pandemic hospitalization forecasting efforts should prioritize early inclusion of hospital occupancy data to maximize accuracy. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: April 8, 2022

2019 journal article

Creation of a Geospatially Explicit, Agent-based Model of a Regional Healthcare Network with Application to Clostridioides difficile Infection

Health Security, 17(4), 276–290.

By: S. Rhea* , R. Hilscher *, J. Rineer *, B. Munoz*, K. Jones*, S. Endres-Dighe *, L. DiBiase *, E. Sickbert-Bennett* ...

author keywords: Geospatial; Agent-based model; Synthetic population; Healthcare-associated infection; Clostridioides difficile infection; Healthcare network
MeSH headings : Clostridioides difficile / pathogenicity; Clostridium Infections / epidemiology; Clostridium Infections / mortality; Cross Infection / epidemiology; Health Facilities; Humans; Spatial Analysis; Systems Analysis
TL;DR: The ABM's potential to detect network areas where disease risk is high; simulate and evaluate interventions to protect public health; adapt to other geographic locations and healthcare-associated infections, including emerging pathogens; and meaningfully translate results to public health practitioners, healthcare providers, and policymakers are discussed. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, Crossref, NC State University Libraries
Added: September 9, 2019

2018 article

Using synthetic populations to understand geospatial patterns in opioid related overdose and predicted opioid misuse

Bates, S., Leonenko, V., Rineer, J., & Bobashev, G. (2019, March). COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, Vol. 25, pp. 36–47.

By: S. Bates n, V. Leonenko *, J. Rineer * & G. Bobashev*

author keywords: Opioids; Synthetic populations; Data linkage; Overdose
TL;DR: This study estimates associations between opioid drug overdoses measured as EMS calls and model-predicted drug misuse and concluded that, for optimal efficacy, intervention strategies should consider the existence of exceptional geographic locations with extremely high or low values of this ratio. (via Semantic Scholar)
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2. Zero Hunger (OpenAlex)
Source: Web Of Science
Added: April 9, 2019

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