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.
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)
open access via journals.plos.org (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
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.
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)
UN Sustainable Development Goal Categories
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.
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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
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.
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)
UN Sustainable Development Goal Categories
2. Zero Hunger
(OpenAlex)
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: April 9, 2019
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