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MigrateIndividuals

The MigrateIndividuals intervention class is an individual-level intervention used to force migration and is separate from the normal migration system. However, it does require that human migration is enabled by setting the configuration parameters Migration_Model to FIXED_RATE_MIGRATION and Migration_Pattern to SINGLE_ROUND_TRIP.

As individuals migrate, there are three ways to categorize nodes:

  • Home: the node where the individuals reside; each individual has a single home node.
  • Origin: the "starting point" node for each leg of the migration. The origin updates as individuals move between nodes.
  • Destination: the node the individual is traveling to. The destination updates as individuals move between nodes.

For example, Individual 1 has a home node of Node A. They migrate from Node A to Node B. Node A is both the home node and the origin node, and Node B is the destination node. If Individual 1 migrates from Node B to Node C, Node A remains the home node, but now Node B is the origin node, and Node C is the destination node. If Individual 1 migrates from Node C back to Node A, Node C is the origin node, and Node A becomes the destination node and still remains the home node.

Note

Parameters are case-sensitive. For Boolean parameters, set to 1 for true or 0 for false. Minimum, maximum, or default values of "NA" indicate that those values are not applicable for that parameter.

EMOD does not use true defaults; that is, if the dependency relationships indicate that a parameter is required, you must supply a value for it. However, many of the tools used to work with EMOD will use the default values provided below.

JSON format does not permit comments, but you can add "dummy" parameters to add contextual information to your files. Any keys that are not EMOD parameter names will be ignored by the model.

The table below describes all possible parameters with which this class can be configured. The JSON example that follows shows one potential configuration.

Parameter Type Min Max Default Description
Disqualifying_Properties array of strings NA NA [] A list of IndividualProperty key:value pairs that cause an intervention to be aborted (persistent interventions will stop being distributed to individuals with these values). See IndividualProperties and NodeProperties parameters for more information. Generally used to control the flow of health care access. For example, to prevent the same individual from accessing health care via two different routes at the same time.
Dont_Allow_Duplicates boolean 0 1 0 If an individual's container has an intervention, set to true (1) to prevent them from receiving another copy of the intervention. Supported by all intervention classes.
Duration_At_Node_Constant float 0 3.40282E+38 -1 The duration at the destination node to use for all individuals, in days, when Duration_At_Node_Distribution is set to CONSTANT_DISTRIBUTION.
Duration_At_Node_Distribution enum NA NA NOT_INITIALIZED The distribution type to use for assigning the duration of time an individual or family spends at a destination node after intervention-based migration. Each assigned value is a random draw from the distribution.
Possible values are:
NOT_INITIALIZED
No distribution set.
CONSTANT_DISTRIBUTION
Use the same value for each individual. Set Duration_At_Node_Constant.
UNIFORM_DISTRIBUTION
Use a uniform distribution with a given minimum and maximum. Set Duration_At_Node_Max and Duration_At_Node_Min.
GAUSSIAN_DISTRIBUTION
The distribution is Gaussian (or normal). Values are resampled to ensure >= 0. Set Duration_At_Node_Gaussian_Mean and Duration_At_Node_Gaussian_Std_Dev.
EXPONENTIAL_DISTRIBUTION
The distribution is exponential with a given mean. Set Duration_At_Node_Exponential.
WEIBULL_DISTRIBUTION
Use a Weibull distribution with a given shape and scale. Set Duration_At_Node_Kappa and Duration_At_Node_Lambda.
LOG_NORMAL_DISTRIBUTION
Use a log-normal distribution with a given mean and standard deviation of the natural log. Set Duration_At_Node_Log_Normal_Mu and Duration_At_Node_Log_Normal_Sigma.
POISSON_DISTRIBUTION
Use a Poisson distribution with a given mean. Set Duration_At_Node_Poisson_Mean.
DUAL_CONSTANT_DISTRIBUTION
Use a distribution where some individuals are set to a value of zero and the rest to a given value. Set Duration_At_Node_Proportion_0 and Peak_2_Value. This distribution does not use the parameters set for CONSTANT_DISTRIBUTION.
DUAL_EXPONENTIAL_DISTRIBUTION
Use two exponential distributions with given means. Set Duration_At_Node_Mean_1, Duration_At_Node_Mean_2, and Duration_At_Node_Proportion_1. This distribution does not use the parameters set for EXPONENTIAL_DISTRIBUTION.
Duration_At_Node_Exponential float 0 3.40282E+38 -1 The mean of the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to EXPONENTIAL_DISTRIBUTION.
Duration_At_Node_Gaussian_Mean float 0 3.40282E+38 -1 The mean of the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to GAUSSIAN_DISTRIBUTION.
Duration_At_Node_Gaussian_Std_Dev float 1.17549E-38 3.40282E+38 -1 The standard deviation of the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to GAUSSIAN_DISTRIBUTION.
Duration_At_Node_Kappa float 1.17549E-38 3.40282E+38 -1 The shape value for the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to WEIBULL_DISTRIBUTION.
Duration_At_Node_Lambda float 1.17549E-38 3.40282E+38 -1 The scale value for the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to WEIBULL_DISTRIBUTION.
Duration_At_Node_Log_Normal_Mu float -3.40282e+38 1.70141e+38 3.40282E+38 The mean of the natural log of the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to LOG_NORMAL_DISTRIBUTION.
Duration_At_Node_Log_Normal_Sigma float -3.40282e+38 1.70141e+38 3.40282E+38 The standard deviation of the natural log of the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to LOG_NORMAL_DISTRIBUTION.
Duration_At_Node_Max float 0 3.40282E+38 -1 The maximum duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to UNIFORM_DISTRIBUTION.
Duration_At_Node_Mean_1 float 1.17549E-38 3.40282E+38 -1 The mean of the first exponential distribution, in days, when Duration_At_Node_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.
Duration_At_Node_Mean_2 float 1.17549E-38 3.40282E+38 -1 The mean of the second exponential distribution, in days, when Duration_At_Node_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.
Duration_At_Node_Min float 0 3.40282E+38 -1 The minimum duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to UNIFORM_DISTRIBUTION.
Duration_At_Node_Peak_2_Value float 0 3.40282E+38 -1 The duration at the destination node value, in days, to assign to the remaining individuals when Duration_At_Node_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.
Duration_At_Node_Poisson_Mean float 0 3.40282E+38 -1 The mean of the duration at the destination node after migration, in days, when Duration_At_Node_Distribution is set to POISSON_DISTRIBUTION.
Duration_At_Node_Proportion_0 float 0 1 -1 The proportion of individuals to assign a value of zero days at the destination node when Duration_At_Node_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.
Duration_At_Node_Proportion_1 float 0 1 -1 The proportion of individuals in the first exponential distribution when Duration_At_Node_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.
Duration_Before_Leaving_Constant float 0 3.40282E+38 -1 The duration before leaving the origin node to use for every individual, in days, when Duration_Before_Leaving_Distribution is set to CONSTANT_DISTRIBUTION.
Duration_Before_Leaving_Distribution enum NA NA NOT_INITIALIZED The distribution type to use for assigning the duration of time an individual or family waits before migrating to the destination node after intervention-based migration. Each assigned value is a random draw from the distribution.
Possible values are:
NOT_INITIALIZED
No distribution set.
CONSTANT_DISTRIBUTION
Use the same value for each individual. Set Duration_Before_Leaving_Constant.
UNIFORM_DISTRIBUTION
Use a uniform distribution with a given minimum and maximum. Set Duration_Before_Leaving_Max and Duration_Before_Leaving_Min.
GAUSSIAN_DISTRIBUTION
The distribution is Gaussian (or normal). Values are resampled to ensure >= 0. Set Duration_Before_Leaving_Gaussian_Mean and Duration_Before_Leaving_Gaussian_Std_Dev.
EXPONENTIAL_DISTRIBUTION
The distribution is exponential with a given mean. Set Duration_Before_Leaving_Exponential.
WEIBULL_DISTRIBUTION
Use a Weibull distribution with a given shape and scale. Set Duration_Before_Leaving_Kappa and Duration_Before_Leaving_Lambda.
LOG_NORMAL_DISTRIBUTION
Use a log-normal distribution with a given mean and standard deviation of the natural log. Set Duration_Before_Leaving_Log_Normal_Mu and Duration_Before_Leaving_Log_Normal_Sigma.
POISSON_DISTRIBUTION
Use a Poisson distribution with a given mean. Set Duration_Before_Leaving_Poisson_Mean.
DUAL_CONSTANT_DISTRIBUTION
Use a distribution where some individuals are set to a value of zero and the rest to a given value. Set Duration_Before_Leaving_Proportion_0 and Peak_2_Value. This distribution does use the parameters set for CONSTANT_DISTRIBUTION.
DUAL_EXPONENTIAL_DISTRIBUTION
Use two exponential distributions with given means. Set Duration_Before_Leaving_Mean_1, Duration_Before_Leaving_Mean_2, and Duration_Before_Leaving_Proportion_1. This distribution does not use the parameters set for EXPONENTIAL_DISTRIBUTION.
Duration_Before_Leaving_Exponential float 0 3.40282E+38 -1 The mean of the duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to EXPONENTIAL_DISTRIBUTION.
Duration_Before_Leaving_Gaussian_Mean float 0 3.40282E+38 -1 The mean of the duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to GAUSSIAN_DISTRIBUTION.
Duration_Before_Leaving_Gaussian_Std_Dev float 1.17549E-38 3.40282E+38 1 The standard deviation of the duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to GAUSSIAN_DISTRIBUTION.
Duration_Before_Leaving_Kappa float 1.17549E-38 3.40282E+38 -1 The shape value for the duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to WEIBULL_DISTRIBUTION.
Duration_Before_Leaving_Lambda float 1.17549E-38 3.40282E+38 -1 The scale value for the duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to WEIBULL_DISTRIBUTION.
Duration_Before_Leaving_Log_Normal_Mu float -3.40282e+38 1.70141e+38 3.40282E+38 The mean of the natural log of the duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to LOG_NORMAL_DISTRIBUTION.
Duration_Before_Leaving_Log_Normal_Sigma float -3.40282e+38 1.70141e+38 3.40282E+38 The standard deviation of the natural log of the duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to LOG_NORMAL_DISTRIBUTION.
Duration_Before_Leaving_Max float 0 3.40282E+38 -1 The maximum duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to UNIFORM_DISTRIBUTION.
Duration_Before_Leaving_Mean_1 float 1.17549E-38 3.40282E+38 -1 The mean of the first exponential distribution, in days, when Duration_Before_Leaving_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.
Duration_Before_Leaving_Mean_2 float 1.17549E-38 3.40282E+38 -1 The mean of the second exponential distribution, in days, when Duration_Before_Leaving_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.
Duration_Before_Leaving_Min float 0 3.40282E+38 -1 The minimum duration before leaving the origin node, in days, when Duration_Before_Leaving_Distribution is set to UNIFORM_DISTRIBUTION.
Duration_Before_Leaving_Peak_2_Value float 0 3.40282E+38 -1 The duration before leaving the origin node, in days, to assign to the remaining individuals when Duration_Before_Leaving_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.
Duration_Before_Leaving_Poisson_Mean float 0 3.40282E+38 -1 The mean of the duration before leaving the origin node, in days, when Duration_Before_Leaving is set to POISSON_DISTRIBUTION.
Duration_Before_Leaving_Proportion_0 float 0 1 -1 The proportion of individuals to assign a value of zero days before leaving the origin node when Duration_Before_Leaving_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.
Duration_Before_Leaving_Proportion_1 float 0 1 -1 The proportion of individuals in the first exponential distribution when Duration_Before_Leaving_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.
Intervention_Name string NA NA MigrateIndividuals The optional name used to refer to this intervention as a means to differentiate it from others that use the same class.
Is_Moving boolean 0 1 0 Set to true (1) to indicate the individual is permanently moving to a new home node for intervention-based migration. Once at the new home node, the person will be available for new round trips.
New_Property_Value string NA NA "" An optional IndividualProperty key:value pair that will be assigned when the intervention is applied. See IndividualProperties and NodeProperties parameters for more information. Generally used to indicate the broad category of health care cascade to which an intervention belongs to prevent individuals from accessing care through multiple pathways. For example, if an individual must already be taking a particular medication to be prescribed a new one.
NodeID_To_Migrate_To integer 0 4294970000.0 0 The destination node ID for intervention-based migration.
{
    "Use_Defaults": 1,
    "Events": [
        {
            "class": "CampaignEvent",
            "Start_Day": 5,
            "Nodeset_Config": {
                "class": "NodeSetNodeList",
                "Node_List": [1]
            },
            "Event_Coordinator_Config": {
                "class": "StandardInterventionDistributionEventCoordinator",
                "Target_Residents_Only": 1,
                "Target_Demographic": "Everyone",
                "Demographic_Coverage": 1.0,
                "Intervention_Config": {
                    "class": "MigrateIndividuals",
                    "NodeID_To_Migrate_To": 2,
                    "Duration_Before_Leaving_Distribution": "CONSTANT_DISTRIBUTION",
                    "Duration_At_Node_Distribution": "CONSTANT_DISTRIBUTION",
                    "Is_Moving": 0,
                    "Duration_Before_Leaving_Constant": 0,
                    "Duration_At_Node_Constant": 999
                }
            }
        }
    ]
}