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agent-based epidemiological model  (Johns Hopkins HealthCare)

 
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    Johns Hopkins HealthCare agent-based epidemiological model
    Agent Based Epidemiological Model, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/agent+based+simulation+algorithm/agent+based+simulation/pmc09540303-53-11-25
    Average 90 stars, based on 1 article reviews
    agent-based epidemiological model - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Using electronic medical records in hospital simulation for infection control intervention assessment.
    Article Snippet: Background: Clinical trials for assessing the effects of infection prevention and control (IPC) interventions are expensive and have shownmixed results.. Mathematical models can be relatively inexpensive tools for evaluating the potential of interventions.. However, capturing nuances between institutions and in patient populations have adversely affected the power of computational models of nosocomial transmission.

    Article Title: Cross domain fusion in power electronics dominated distribution grids
    Article Snippet: The projections for COVID-19 patients were determined using an agent-based epidemiological model (ABM) developed to inform the state of Maryland about bed utilization in the Johns Hopkins Medical Institutions healthcare-system [ ].

    Article Title: Modeling hospital energy and economic costs for COVID-19 infection control interventions
    Article Snippet: The agent-based model (ABM) was developed internally at Johns Hopkins Medical Institutions was based on the classical SEIR (susceptible-exposure-infective-recovered) dynamics of compartmental models used to capture infectious diseases spread among a population.

    Article Title: Multi-hazard hospital evacuation planning during disease outbreaks using agent-based modeling
    Article Snippet: An agent-based model was developed to simulate the evacuation of the emergency department at the Johns Hopkins Hospital during the COVID-19 pandemic due to a fire emergency.

    Article Title: Trending Now: Using Social Media to Predict and Track Disease Outbreaks
    Article Snippet: Josh Epstein, a professor at Johns Hopkins Medicine who collaborates with Eubank, uses a method called agent-based modeling to study emotional responses to information, particularly fear.

    Article Title: Using electronic medical records in hospital simulation for infection control intervention assessment
    Article Snippet: In this study, we present an agent-based simulation of the ICUs in the Johns Hopkins Hospital (JHH), hereafter referred to as The Hospital , coupled to JHH’s EMR data to simulate transmission of two HAI-causative pathogens: Methicillin-Resistant Staphylococcus Aureus (MRSA) and Vancomycin-Resistant Enterococci (VRE).

    Article Title: Modeling hospital energy and economic costs for COVID-19 infection control interventions
    Article Snippet: The projections for COVID-19 patients were determined using an agent-based, epidemiological model (ABM), which was internally developed to inform bed utilization at Johns Hopkins Medical Institutions healthcare-system and the state of Maryland .

    Article Title: Extraction (DSX) from Erigeron breviscapus modulates outward potassium currents in rat retinal ganglion cells
    Article Snippet: A survey, made by the Johns Hopkins University Hospital using an epidemiological model, claimed that the number of patients with glaucoma will rapidly increase, and most of these patients, with both acute close-angle glaucoma (ACG) and primary open angle glaucoma (OAG), will be in Asian [7] .Glaucoma is a chronic and progressive optic neuropathy, which is characterized by loss of axons of RGCs that constitute the optic nerve [8] .



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