MigrateIndividuals

The MigrateIndividuals intervention class is used to force migration and is separate from the normal migration system. However, it does require that human migration is enabled.

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 does not permit comments, but you can add “dummy” parameters to add contextual information to your files.

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

Parameter

Data type

Minimum

Maximum

Default

Description

Example

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 NodeProperties and IndividualProperties 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.

 
{
    "Disqualifying_Properties": [
        "InterventionStatus:LostForever"
    ]
}

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.

 
{
    "Dont_Allow_Duplicates": 0
}

Duration_At_Node_Constant

float

0

3.40282E+38

6

The duration at node to use for all individuals when Duration_At_Node_Distribution is set to CONSTANT_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "CONSTANT_DISTRIBUTION",
    "Duration_At_Node_Constant": 8
}

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). 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_Distribution": "WEIBULL_DISTRIBUTION",
    "Duration_At_Node_Kappa": 0.9,
    "Duration_At_Node_Lambda": 1.5
}

Duration_At_Node_Exponential

float

0

3.40282E+38

6

The mean of the duration at node after migration when Duration_At_Node_Distribution is set to EXPONENTIAL_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "EXPONENTIAL_DISTRIBUTION",
    "Duration_At_Node_Exponential": 4.25
}

Duration_At_Node_Gaussian_Mean

float

0

3.40282E+38

6

The mean of the duration at node after migration when Duration_At_Node_Distribution is set to GAUSSIAN_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "GAUSSIAN_DISTRIBUTION",
    "Duration_At_Node_Gaussian_Mean": 8,
    "Duration_At_Node_Gaussian_Std_Dev": 1.5
}

Duration_At_Node_Gaussian_Std_Dev

float

1.17549E-38

3.40282E+38

1

The standard deviation of the duration at node after migration when Duration_At_Node_Distribution is set to GAUSSIAN_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "GAUSSIAN_DISTRIBUTION",
    "Duration_At_Node_Gaussian_Mean": 8,
    "Duration_At_Node_Gaussian_Std_Dev": 1.5
}

Duration_At_Node_Kappa

float

1.17549E-38

3.40282E+38

1

The shape value for the duration at node after migration when Duration_At_Node_Distribution is set to WEIBULL_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "WEIBULL_DISTRIBUTION",
    "Duration_At_Node_Kappa": 0.9,
    "Duration_At_Node_Lambda": 1.5
}

Duration_At_Node_Lambda

float

1.17549E-38

3.40282E+38

1

The scale value for the duration at node after migration when Duration_At_Node_Distribution is set to WEIBULL_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "WEIBULL_DISTRIBUTION",
    "Duration_At_Node_Kappa": 0.9,
    "Duration_At_Node_Lambda": 1.5
}

Duration_At_Node_Log_Normal_Mu

float

-3.40282e+38

3.40282E+38

6

The mean of the duration at node after migration when Duration_At_Node_Distribution is set to LOG_NORMAL_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "LOG_NORMAL_DISTRIBUTION",
    "Duration_At_Node_Log_Normal_Mu": 9,
    "Duration_At_Node_Log_Normal_Sigma": 2
}

Duration_At_Node_Log_Normal_Sigma

float

-3.40282e+38

3.40282E+38

1

The standard deviation of the natural log of the duration at node after migration when Duration_At_Node_Distribution is set to LOG_NORMAL_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "LOG_NORMAL_DISTRIBUTION",
    "Duration_At_Node_Log_Normal_Mu": 9,
    "Duration_At_Node_Log_Normal_Sigma": 2
}

Duration_At_Node_Max

float

0

3.40282E+38

1

The maximum duration at node after migration when Duration_At_Node_Distribution is set to UNIFORM_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "UNIFORM_DISTRIBUTION",
    "Duration_At_Node_Min": 2,
    "Duration_At_Node_Max": 7
}

Duration_At_Node_Mean_1

float

1.17549E-38

3.40282E+38

1

The mean of the first exponential distribution when Duration_At_Node_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
    "Duration_At_Node_Mean_1": 4,
    "Duration_At_Node_Mean_2": 12,
    "Duration_At_Node_Proportion_1": 0.2
}

Duration_At_Node_Mean_2

float

1.17549E-38

3.40282E+38

1

The mean of the second exponential distribution when Duration_At_Node_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
    "Duration_At_Node_Mean_1": 4,
    "Duration_At_Node_Mean_2": 12,
    "Duration_At_Node_Proportion_1": 0.2
}

Duration_At_Node_Min

float

0

3.40282E+38

0

The minimum duration at node after migration when Duration_At_Node_Distribution is set to UNIFORM_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "UNIFORM_DISTRIBUTION",
    "Duration_At_Node_Min": 2,
    "Duration_At_Node_Max": 7
}

Duration_At_Node_Peak_2_Value

float

0

3.40282E+38

1

The duration at node value to assign to the remaining individuals when Duration_At_Node_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "DUAL_CONSTANT_DISTRIBUTION",
    "Duration_At_Node_Proportion_0": 0.25,
    "Duration_At_Node_Peak_2_Value": 5
}

Duration_At_Node_Poisson_Mean

float

0

3.40282E+38

6

The mean of the duration at node after migration when Duration_At_Node_Distribution is set to POISSON_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "POISSON_DISTRIBUTION",
    "Duration_At_Node_Poisson_Mean": 5
}

Duration_At_Node_Proportion_0

float

0

1

1

The proportion of individuals to assign a value of zero days at node when Duration_At_Node_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.

 
{
    "Duration_At_Node_Distribution": "DUAL_CONSTANT_DISTRIBUTION",
    "Duration_At_Node_Proportion_0": 0.25,
    "Duration_At_Node_Peak_2_Value": 5
}

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_At_Node_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
    "Duration_At_Node_Mean_1": 4,
    "Duration_At_Node_Mean_2": 12,
    "Duration_At_Node_Proportion_1": 0.2
}

Duration_Before_Leaving_Constant

float

0

3.40282E+38

6

The duration before leaving to use for every individual when Duration_Before_Leaving_Distribution is set to CONSTANT_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "CONSTANT_DISTRIBUTION",
    "Duration_Before_Leaving_Constant": 8
}

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). 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_Distribution": "UNIFORM_DISTRIBUTION",
    "Duration_Before_Leaving_Min": 2,
    "Duration_Before_Leaving_Max": 7
}

Duration_Before_Leaving_Exponential

float

0

3.40282E+38

6

The mean of the duration before leaving node when Duration_Before_Leaving_Distribution is set to EXPONENTIAL_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "EXPONENTIAL_DISTRIBUTION",
    "Duration_Before_Leaving_Exponential": 4.25
}

Duration_Before_Leaving_Gaussian_Mean

float

0

3.40282E+38

6

The mean of the duration before leaving the node when Duration_Before_Leaving_Distribution is set to GAUSSIAN_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "GAUSSIAN_DISTRIBUTION",
    "Duration_Before_Leaving_Gaussian_Mean": 8,
    "Duration_Before_Leaving_Gaussian_Std_Dev": 1.5
}

Duration_Before_Leaving_Gaussian_Std_Dev

float

1.17549E-38

3.40282E+38

1

The standard deviation of the duration before leaving the node when Duration_Before_Leaving_Distribution is set to GAUSSIAN_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "GAUSSIAN_DISTRIBUTION",
    "Duration_Before_Leaving_Gaussian_Mean": 8,
    "Duration_Before_Leaving_Gaussian_Std_Dev": 1.5
}

Duration_Before_Leaving_Kappa

float

1.17549E-38

3.40282E+38

1

The shape value for the duration before leaving the node when Duration_Before_Leaving_Distribution is set to WEIBULL_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "WEIBULL_DISTRIBUTION",
    "Duration_Before_Leaving_Kappa": 0.9,
    "Duration_Before_Leaving_Lambda": 1.5
}

Duration_Before_Leaving_Lambda

float

1.17549E-38

3.40282E+38

1

The scale value for the duration before leaving the node when Duration_Before_Leaving_Distribution is set to WEIBULL_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "WEIBULL_DISTRIBUTION",
    "Duration_Before_Leaving_Kappa": 0.9,
    "Duration_Before_Leaving_Lambda": 1.5
}

Duration_Before_Leaving_Log_Normal_Mu

float

-3.40282e+38

3.40282E+38

6

The mean of the natural log of the duration before leaving the node when Duration_Before_Leaving_Distribution is set to LOG_NORMAL_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "LOG_NORMAL_DISTRIBUTION",
    "Duration_Before_Leaving_Log_Normal_Mu": 9,
    "Duration_Before_Leaving_Log_Normal_Sigma": 2
}

Duration_Before_Leaving_Log_Normal_Sigma

float

-3.40282e+38

3.40282E+38

1

The standard deviation of the natural log of the duration before leaving the node when Duration_Before_Leaving_Distribution is set to LOG_NORMAL_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "LOG_NORMAL_DISTRIBUTION",
    "Duration_Before_Leaving_Log_Normal_Mu": 9,
    "Duration_Before_Leaving_Log_Normal_Sigma": 2
}

Duration_Before_Leaving_Max

float

0

3.40282E+38

1

The maximum duration before leaving the node when Duration_Before_Leaving_Distribution is set to UNIFORM_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "UNIFORM_DISTRIBUTION",
    "Duration_Before_Leaving_Min": 2,
    "Duration_Before_Leaving_Max": 7
}

Duration_Before_Leaving_Mean_1

float

1.17549E-38

3.40282E+38

1

The mean of the first exponential distribution when Duration_Before_Leaving_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
    "Duration_Before_Leaving_Mean_1": 4,
    "Duration_Before_Leaving_Mean_2": 12,
    "Duration_Before_Leaving_Proportion_1": 0.2
}

Duration_Before_Leaving_Mean_2

float

1.17549E-38

3.40282E+38

1

The mean of the second exponential distribution when Duration_Before_Leaving_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
    "Duration_Before_Leaving_Mean_1": 4,
    "Duration_Before_Leaving_Mean_2": 12,
    "Duration_Before_Leaving_Proportion_1": 0.2
}

Duration_Before_Leaving_Min

float

0

3.40282E+38

0

The minimum duration before leaving the node when Duration_Before_Leaving_Distribution is set to UNIFORM_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "UNIFORM_DISTRIBUTION",
    "Duration_Before_Leaving_Min": 2,
    "Duration_Before_Leaving_Max": 7
}

Duration_Before_Leaving_Peak_2_Value

float

0

3.40282E+38

1

The duration before leaving the node to assign to the remaining individuals when Duration_Before_Leaving_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "DUAL_CONSTANT_DISTRIBUTION",
    "Duration_Before_Leaving_Proportion_0": 0.25,
    "Duration_Before_Leaving_Peak_2_Value": 5
}

Duration_Before_Leaving_Poisson_Mean

float

0

3.40282E+38

6

The mean of the duration before leaving the node when Duration_Before_Leaving is set to POISSON_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "POISSON_DISTRIBUTION",
    "Duration_Before_Leaving_Poisson_Mean": 5
}

Duration_Before_Leaving_Proportion_0

float

0

1

1

The proportion of individuals to assign a value of zero days before leaving the node when Duration_Before_Leaving_Distribution is set to DUAL_CONSTANT_DISTRIBUTION.

 
{
    "Duration_Before_Leaving_Distribution": "DUAL_CONSTANT_DISTRIBUTION",
    "Duration_Before_Leaving_Proportion_0": 0.25,
    "Duration_Before_Leaving_Peak_2_Value": 5
}

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.

 
{
    "Duration_Before_Leaving_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
    "Duration_Before_Leaving_Mean_1": 4,
    "Duration_Before_Leaving_Mean_2": 12,
    "Duration_Before_Leaving_Proportion_1": 0.2
}

Intervention_Name

string

NA

NA

NA

The optional name used to refer to this intervention as a means to differentiate it from others that use the same class.

 
{
    "Intervention_Config": {
        "class": "MigrateIndividuals",
        "Intervention_Name": "Seasonal migration for agriculture"
    }
}

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.

 
{
    "Is_Moving": 1
}

New_Property_Value

string

NA

NA

NA

An optional IndividualProperty key:value pair that will be assigned when the intervention is distributed. See NodeProperties and IndividualProperties 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.

 
{
    "New_Property_Value": "InterventionStatus:None"
}

NodeID_To_Migrate_To

integer

0

2.15E+0

0

The destination node ID for intervention-based migration.

 
{
    "NodeID_To_Migrate_To": 26
}

{
  "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
        }
      }
    }
  ]
}