API Endpoint for journals.

GET /api/articles/65569/?format=api
HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 65569,
    "title": "Modeling Infectious Disease Spread: Comparison of the Agent-Based-Modeling and Differential-Equation Approaches",
    "subtitle": null,
    "abstract": "In epidemiology, the SIR model is commonly used to describe the population dynamics ofinfectious diseases. It divides the population into three categories: Susceptible, Infected, and Recovered. We consider two approaches to describe its population dynamics. In the Ordinary Differential Equation (ODE) approach, we solve a set of differential equations that describe the rate of change of the fraction of each category. In the Agent-Based Model (ABM), we keep track of the state of each person and its position in a two-dimensional lattice. The ODE model has two model parameters, the infection strength b and the recovery rate k, whereas the ABM has three model parameters describing the diffusion, infection, and recovery rates. Our research aims to compare the two approaches and to establish a relationship between the ODE and ABM parameters. To find the optimal values of the b and k parameters that give matching results to the ABM simulation results, we employ two methods. In the first method, we determine the optimal b and k values by minimizing the differences between the curves generated by the ODE and ABM approaches. In the second method, we use an established relation between the end-state ratio of uninfected people and the contact number b/k. Our results show that these two estimation methods give consistent results and explain the fast-diffusion limit situation.",
    "language": "en",
    "license": null,
    "keywords": [
        {
            "word": "Agent-Based-Modeling"
        },
        {
            "word": "Ordinary Differential Equation"
        },
        {
            "word": "Infectious Disease Spread"
        },
        {
            "word": "Population-Level Prediction, Individual-Based Simulation"
        }
    ],
    "section": "Research Posters",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/534309f9",
    "frozenauthors": [
        {
            "first_name": "EunSang",
            "middle_name": "",
            "last_name": "Park",
            "name_suffix": "",
            "institution": "",
            "department": ""
        },
        {
            "first_name": "Changho",
            "middle_name": "",
            "last_name": "Kim",
            "name_suffix": "",
            "institution": "",
            "department": ""
        }
    ],
    "date_submitted": "2024-12-06T22:54:20Z",
    "date_accepted": "2024-12-06T22:54:20Z",
    "date_published": "2024-12-13T08:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/ucm_mwp_ucmurj/article/65569/galley/50198/download/"
        }
    ]
}