Config File¶

The config.json file contains the parameters used in the simulation.

Warning

Users should NOT edit this file, with the exception of the simulation section. All the other parameters have been computed from fitting statistical models or from other papers.

{
    "simulation": {
        "min_year": 2024,
        "time_horizon": 2,
        "province": "BC",
        "population_growth_type": "LG",
        "num_births_initial": 100,
        "max_age": 111
    },
    "antibiotic_exposure": {
        "parameters": {
            "β0": 110.000442,
            "βyear": -0.055100,
            "β2005": 55.033675,
            "βsex": 0.249033,
            "θ": 727.383,
            "β2005_year": -0.027437,
            "fixyear": null,
            "βfloor": 0.05
        }
    },
    "census_table": {
        "year": 2021
    },
    "control": {
        "hyperparameters": {
            "β0_μ": 0.0,
            "β0_σ": 1.678728
        },
        "parameters": {
            "βage": 3.5430381,
            "βage2": -3.4980710,
            "βsexage": -0.8161495,
            "βsexage2": -1.1654264,
            "βsex": 0.2347807,
            "θ": [-0.3950, 2.754]
        }
    },
    "cost": {
        "parameters": {
            "control": [2372, 2965, 3127],
            "exac": [130, 594, 2425, 9900]
        },
        "exchange_rate_usd_cad": 1.66
    },
    "death": {
        "parameters": {}
    },
    "exacerbation": {
        "hyperparameters": {
            "β0_μ": 0.0,
            "β0_σ": 0.0000001
        },
        "parameters": {
            "βcontrol_C": -1.6712824655642424,
            "βcontrol_PC": -0.978135285004297,
            "βcontrol_UC": -0.5726701768961326
        },
        "initial_rate": 0.347
    },
    "exacerbation_severity": {
        "hyperparameters": {
            "α": [0.495, 0.195, 0.283, 0.026],
            "k": 100
        },
        "parameters": {
            "p": [0.25, 0.25, 0.25, 0.25],
            "βprev_hosp_ped": 1.79,
            "βprev_hosp_adult": 2.88
        }
    },
    "family_history": {
        "parameters": {
        "p": 0.2927242
        }
    },
    "incidence": {
        "hyperparameters": {
            "β0_μ": 0,
            "β0_σ": 0.00000001
        },
        "parameters": {
            "β0": 34.63398846,
            "βsex": -9.52017810,
            "βage": [-6.64423331, 7.73720625, -5.63121394, 3.90920803, -1.39497027],
            "βyear": -0.01967344,
            "βsexage": [-4.45607619, 4.70483885, -2.61760564, 0.79555703, 0.95476291],
            "βsexyear": 0.00461397,
            "βfam_hist": [0.12221763272424911, 0.3619942],
            "βabx_exp": [1.826, -0.2920745, 0.053]
        },
        "max_age": 63
    },
    "pollution": {
        "SSP": "SSP1_2.6"
    },
    "prevalence": {
        "hyperparameters": {
            "β0_μ": 0,
            "β0_σ": 0.00000001
        },
        "parameters": {
            "β0": -2.28093577,
            "βsex": -0.10755806,
            "βage": [
                1.79932480805632, -2.17989374225804, 3.64152189395539,
                -2.91796538427475, 1.43423653685647
            ],
            "βyear": [2.83586405, -1.18097542],
            "βsexage": [
                -7.69209530818354, 2.68306716462003, 0.865308192929771,
                -0.656000992252807, -0.0270826201453694
            ],
            "βsexyear": [1.29279956487906, 0.036861276364171],
            "βyearage": [
                50.610032709273, 6.51236955045884, -39.4569160874519,
                3.69176099747937, 15.9637932343298, -4.79271775804693,
                -7.14281869955998, 4.18656498490802, -4.88274672641455, -3.3603262281752
            ],
            "βsexyearage": [
                -3.19896302105009, 7.24422362459046, -25.7979736592919, 0.253623898303176,
                11.3848773603672, -2.57625491419054, 7.61284030050534, 4.17111534541718,
                -15.2128066205219, 3.70514542334455
            ],
            "βfam_hist": [0.12221763272424911, 0.37662555231482536],
            "βabx_exp": [1.826, -0.225, 0.053]
            },
            "max_age": 63
    },
    "utility": {
        "parameters": {
            "βcontrol": [0.06, 0.09, 0.10],
            "βexac_sev_hist": [
                0.006153846153846154, 0.016923076923076923,
                0.019230769230769232, 0.02153846153846154
            ]
        }
    }
}

Module	Parameter	Description	Source	Documentation
Antibiotic Exposure	`β0`	Intercept for antibiotic exposure model	Fitted using a GLM	Antibiotic Exposure Model
Antibiotic Exposure	`βyear`	Effect of year on antibiotic exposure model	Fitted using a GLM	Antibiotic Exposure Model
Antibiotic Exposure	`β2005`	Effect of year 2005 on antibiotic exposure model	Fitted using a GLM	Antibiotic Exposure Model
Antibiotic Exposure	`βsex`	Effect of sex	Fitted using a GLM	Antibiotic Exposure Model
Antibiotic Exposure	`θ`	Overdispersion parameter for antibiotic exposure model	Fitted using a GLM	Antibiotic Exposure Model
Antibiotic Exposure	`β2005_year`	Interaction effect of year and year 2005 on antibiotic exposure model	Fitted using a GLM	Antibiotic Exposure Model
Antibiotic Exposure	`fixyear`	Fixed year for antibiotic exposure model (if null, no fixed year)	Fitted using a GLM	Antibiotic Exposure Model
Antibiotic Exposure	`βfloor`	Floor for antibiotic exposure probability	Fitted using a GLM	Antibiotic Exposure Model
Control	`β0_μ`	Mean of the intercept for asthma control model	Fitted using an ordinal regression model	control-params
Control	`β0_σ`	Standard deviation of the intercept for asthma control model	Fitted using an ordinal regression model	Asthma Control Model
Control	`βage`	\(\beta\) coefficient for the \(\text{age}\) term of the asthma control model	Fitted using an ordinal regression model	Asthma Control Model
Control	`βage2`	\(\beta\) coefficient for the \(\text{age}^2\) term of the asthma control model	Fitted using an ordinal regression model	Asthma Control Model
Control	`βsexage`	\(\beta\) coefficient for the \(\text{sex}*\text{age}\) term of the asthma control model	Fitted using an ordinal regression model	Asthma Control Model
Control	`βsexage2`	\(\beta\) coefficient for the \(\text{sex}*\text{age}^2\) term of the asthma control model	Fitted using an ordinal regression model	Asthma Control Model
Control	`βsex`	\(\beta\) coefficient for the \(\text{sex}\) term of the asthma control model	Fitted using an ordinal regression model	Asthma Control Model
Control	`θ`	Thresholds for the asthma control model	Fitted using an ordinal regression model	Asthma Control Model
Cost	`control`	Direct cost of asthma due to asthma control levels (1 = well-controlled, 2 = partially-controlled, 3 = uncontrolled) in USD	[Yaghoubi, 2020]	Cost Due to Asthma Control Levels
Cost	`exac`	Direct cost of asthma due to asthma exacerbation severity levels (1 = mild, 2 = moderate, 3 = severe, 4 = very severe) in USD	[Yaghoubi, 2020]	Cost Due to Asthma Exacerbations
Exacerbation	`β0_μ`	Mean of the intercept for asthma exacerbation model	Fitted using a Poisson regression model	Asthma Exacerbations Model
Exacerbation	`β0_σ`	Standard deviation of the intercept for asthma exacerbation model	Fitted using a Poisson regression model	Asthma Exacerbations Model
Exacerbation	`βcontrol_C`	\(\beta\) coefficient for the \(\text{asthma control level = well-controlled}\) term of the asthma exacerbation model	Economic Burden of Asthma (EBA) study	Asthma Exacerbations Model
Exacerbation	`βcontrol_PC`	\(\beta\) coefficient for the \(\text{asthma control level = partially-controlled}\) term of the asthma exacerbation model	Economic Burden of Asthma (EBA) study	Asthma Exacerbations Model
Exacerbation	`βcontrol_UC`	\(\beta\) coefficient for the \(\text{asthma control level = uncontrolled}\) term of the asthma exacerbation model	Economic Burden of Asthma (EBA) study	Asthma Exacerbations Model
Exacerbation	`initial_rate`	Initial asthma exacerbation rate for newly incident asthma cases	Fitted using a Poisson regression model	Asthma Exacerbations Model
Exacerbation Severity	`α`	Dirichlet prior parameters for asthma exacerbation severity model	Fitted using a Bayesian model	exacerbation_severity_model
Exacerbation Severity	`k`	Concentration parameter for asthma exacerbation severity model	Fitted using a Bayesian model	exacerbation_severity_model
Exacerbation Severity	`p`	Probability of asthma exacerbation severity levels (1 = mild, 2 = moderate, 3 = severe, 4 = very severe)	Fitted using a Bayesian model	exacerbation_severity_model
Exacerbation Severity	`βprev_hosp_ped`	Effect of previous pediatric hospitalization on asthma exacerbation severity	Fitted using a Bayesian model	exacerbation_severity_model
Exacerbation Severity	`βprev_hosp_adult`	Effect of previous adult hospitalization on asthma exacerbation severity	Fitted using a Bayesian model	exacerbation_severity_model
Family History	`p`	Probability of having a family history of asthma	Fitted using the CHMS data	family-history-model
Incidence	`β0_μ`	Mean of the intercept for asthma incidence model	Fitted using a logistic regression model	incidence-model
Utility	`βcontrol`	Disutility due to asthma control levels (1 = well-controlled, 2 = partially-controlled, 3 = uncontrolled)	[Yaghoubi, 2020]	Disutility Due to Asthma Control Levels
Utility	`βexac_sev_hist`	Disutility due to asthma exacerbation severity levels (1 = mild, 2 = moderate, 3 = severe, 4 = very severe)	[Einarson, 2015]	Disutility Due to Asthma Exacerbations