FemaleContraceptive#

The FemaleContraceptive intervention is used to reduce the fertility rate of females of reproductive age (14 to 45 years old), based on a distribution set by the user. This intervention can only be distributed to females, and ignores the waning condition expiration (as women could still use a contraceptive, even if it is ineffective). Note: the Birth_Rate_Dependence configuration parameter must be set to INDIVIDUAL_PREGNANCIES or INDIVIDUAL_PREGNANCIES_BY_AGE_AND_YEAR or an error will result.

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

Data type

Minimum

Maximum

Default

Description

Example

Cost_To_Consumer

float

0

999999

0

The cost of getting the contraceptive each time it is distributed.

 
{
  "Cost_To_Consumer": 1
}

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 a node’s container has an intervention, set to true (1) to prevent it from receiving another copy of the intervention. Supported by all intervention classes.

 
{
  "Dont_Allow_Duplicates": 0
}

Intervention_Name

string

NA

NA

FemaleContraceptive

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

 
{
  "Intervention_Config": {
    "Intervention_Name": "My intervention",
    "class": "FemaleContraceptive"
  }
}

New_Property_Value

string

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"
}

Usage_Duration_Constant

float

0

3.40282e+38

6

Each instance will receive this constant/fixed value.

 
{
  "Usage_Duration_Constant": 6
}

Usage_Duration_Distribution

string

NA

NA

NOT_INITIALIZED

For the distribution of each contraceptive, a randomly selected duration from this distribution will determine when the woman stops using the contracpetive. This is independent of how long the contraceptive is effective. Possible values are:

  • NOT_INITIALIZED

  • CONSTANT_DISTRIBUTION

  • UNIFORM_DISTRIBUTION

  • GAUSSIAN_DISTRIBUTION

  • EXPONENTIAL_DISTRIBUTION

  • POISSON_DISTRIBUTION

  • LOG_NORMAL_DISTRIBUTION

  • DUAL_CONSTANT_DISTRIBUTION

  • WEIBULL_DISTRIBUTION

  • DUAL_EXPONENTIAL_DISTRIBUTION

 
{
  "Usage_Duration_Distribution": "UNIFORM_DISTRIBUTION"
}

Usage_Duration_Exponential

float

0

3.40282e+38

6

The mean for an exponential distribution.

 
{
  "Usage_Duration_Exponential": 2.5
}

Usage_Duration_Gaussian_Mean

float

0

3.40282e+38

6

The mean for a Gaussian distribution.

 
{
  "Usage_Duration_Gaussian_Mean": 6
}

Usage_Duration_Gaussian_Std_Dev

float

1.17549e-38

3.40282e+38

1

The standard deviation for a Gaussian distribution.

 
{
  "Usage_Duration_Gaussian_Std_Dev": 1
}

Usage_Duration_Kappa

float

1.17549e-38

3.40282e+38

1

The shape value in a Weibull distribution.

 
{
  "Usage_Duration_Kappa": 1
}

Usage_Duration_Lambda

float

1.17549e-38

3.40282e+38

1

The scale value in a Weibull distribution.

 
{
  "Usage_Duration_Lambda": 1
}

Usage_Duration_Log_Normal_Mu

float

-3.40282e+38

3.40282e+38

6

The mean for a log-normal distribution.

 
{
  "Usage_Duration_Log_Normal_Mu": 6
}

Usage_Duration_Log_Normal_Sigma

float

-3.40282e+38

3.40282e+38

1

The width for a log-normal distribution.

 
{
  "Usage_Duration_Log_Normal_Sigma": 1
}

Usage_Duration_Max

float

0

3.40282e+38

1

The maximum of the uniform distribution.

 
{
  "Usage_Duration_Max": 1
}

Usage_Duration_Mean_1

float

1.17549e-38

3.40282e+38

1

The mean of the first exponential distribution.

 
{
  "Usage_Duration_Mean_1": 1
}

Usage_Duration_Mean_2

float

1.17549e-38

3.40282e+38

1

The mean of the second exponential distribution.

 
{
  "Usage_Duration_Mean_2": 1
}

Usage_Duration_Min

float

0

3.40282e+38

0

The minimum of the uniform distribution.

 
{
  "Usage_Duration_Min": 0
}

Usage_Duration_Peak_2_Value

float

0

3.40282e+38

1

The value to assign to the remaining individuals.

 
{
  "Usage_Duration_Peak_2_Value": 1
}

Usage_Duration_Poisson_Mean

float

0

3.40282e+38

6

The mean for a Poisson distribution.

 
{
  "Usage_Duration_Poisson_Mean": 6
}

Usage_Duration_Proportion_0

float

0

1

1

The proportion of individuals to assign a value of zero.

 
{
  "Usage_Duration_Proportion_0": 1
}

Usage_Duration_Proportion_1

float

0

1

1

The proportion of individuals in the first exponential distribution.

 
{
  "Usage_Duration_Proportion_1": 1
}

Usage_Expiration_Event

string

NA

NA

“”

When the woman stops using the contraceptive, this event will be broadcasted. See Event list for possible built-in values, or create custom values using Custom_Individual_Events.

 
{
  "Usage_Expiration_Event": "My_Expiration_Event"
}

Waning_Config

json object

NA

NA

NA

A WaningEffect object used to control the efficacy of the contraceptive, typically over time. Specify how this effect decays over time using one of the Waning effect classes.

 
{
  "Waning_Config": {
    "Box_Duration": 3650,
    "Initial_Effect": 1,
    "class": "WaningEffectBox"
  }
}

{
    "Use_Defaults": 1,
    "Events": [
        {
            "class": "CampaignEvent",
            "Start_Day": 730,
            "Nodeset_Config": { "class": "NodeSetAll" },
            "Event_Coordinator_Config": {
                "class": "StandardInterventionDistributionEventCoordinator",
                "Target_Demographic": "ExplicitGender",
                "Target_Gender": "Female",
                "Demographic_Coverage": 0.1,
                "Intervention_Config": {
                    "class": "FemaleContraceptive",
                    "Cost_To_Consumer": 1,
                    "Waning_Config": {
                        "class": "WaningEffectConstant",
                        "Initial_Effect": 0.25
                    },
                    "Usage_Duration_Distribution": "CONSTANT_DISTRIBUTION",
                    "Usage_Duration_Constant": 730,
                    "Usage_Expiration_Event": "StopUsingContraceptive"
                }
            }
        }
    ]
}