ReferenceTrackingEventCoordinatorHIV¶
The ReferenceTrackingEventCoordinatorHIV coordinator class define a particular coverage of an individual- level intervention that should be present in a population over time for HIV simulations. The coordinator tracks the actual coverage with the desired coverage; it will poll the population of nodes it has been assigned to determine how many people have the distributed intervention. When coverage is less than the desired coverage, it will distribute enough interventions to reach the desired coverage. This coordinator is similar to the ReferenceTrackingEventCoordinator, but adds HIV-specific disease state qualifiers, such that individuals must be in particular disease states to qualify for the intervention.
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 |
|---|---|---|---|---|---|---|
| Demographic_Coverage | float | 0 | 1 | 1 | The fraction of individuals in the target demographic that will receive this intervention. | {
"Demographic_Coverage": 1
}
|
| End_Year | float | 1900 | 2200 | 2200 | The final date (year) at which this set of targeted coverages should be applied (expiration). | {
"Start_Year": 1962,
"End_Year": 1964
}
|
| Intervention_Config | JSON object | NA | NA | NA | The nested JSON of the actual intervention to be distributed by this event coordinator. | {
"Intervention_Config": {
"class": "OutbreakIndividual",
"Incubation_Period_Override": 1,
"Outbreak_Source": "PrevalenceIncrease"
}
}
|
| Node_Property_Restrictions | array of JSON objects | NA | NA | NA | A list of the NodeProperty key:value pairs, as defined in the demographics file, that nodes must have to be targeted by the intervention. See NodeProperties and IndividualProperties parameters for more information. You can specify AND and OR combinations of key:value pairs with this parameter. |
The following example restricts the intervention to nodes that are urban and medium risk or rural and low risk. {
"Node_Property_Restrictions": [
{
"Place": "URBAN",
"Risk": "MED"
},
{
"Place": "RURAL",
"Risk": "LOW"
}
]
}
|
| Number_Repetitions | integer | -1 | 10000 | 1 | The number of times an intervention is given, used with Timesteps_Between_Repetitions. A value of -1 implies an infinite number of repetitions. | {
"Event_Coordinator_Config": {
"Intervention_Config": {
"class": "Outbreak",
"Num_Cases": 1
},
"Number_Repetitions": 10,
"Timesteps_Between_Repetitions": 50,
"class": "StandardInterventionDistributionEventCoordinator"
}
}
|
| Property_Restrictions | array of JSON objects | NA | NA | NA | A list of the IndividualProperty key:value pairs, as defined in the demographics file, that individuals must have to be targeted by this intervention. See NodeProperties and IndividualProperties parameters for more information. To specify AND and OR combinations of key:value pairs, use Property_Restrictions_Within_Node. You cannot use both of these parameters in the same event coordinator. |
{
"Property_Restrictions": [
"Risk:HIGH"
]
}
|
| Property_Restrictions_Within_Node | array of JSON objects | NA | NA | NA | A list of the IndividualProperty key:value pairs, as defined in the demographics file, that individuals must have to be targeted by this intervention. See NodeProperties and IndividualProperties parameters for more information. This parameter allows you to specify AND and OR combinations of key:value pairs. You may specify individual property restrictions using either this parameter or Property_Restrictions, but not both. |
The following example restricts the intervention to individuals who are urban and high risk or urban and medium risk. {
"Property_Restrictions_Within_Node": [
{
"Risk": "HIGH",
"Geographic": "URBAN"
},
{
"Risk": "MEDIUM",
"Geographic": "URBAN"
}
]
}
|
| Target_Age_Min | float | 0 | 3.40282e+38 | 0 | The lower end of ages targeted for an intervention, in years. Used when Target_Demographic is set to ExplicitAgeRanges or ExplicitAgeRangesAndGender. | {
"Target_Age_Max": 20,
"Target_Age_Min": 10,
"Target_Demographic": "ExplicitAgeRanges"
}
|
| Target_Demographic | enum | NA | NA | Everyone | The target demographic group. Possible values are:
|
{
"Target_Age_Max": 20,
"Target_Age_Min": 10,
"Target_Demographic": "ExplicitAgeRanges"
}
|
| Target_Disease_State | array of strings | NA | NA | Everyone | An array of particular disease states used in the ReferenceTrackingEventCoordinatorHIV. Possible values are:
|
{
"Target_Disease_State": "HIV_Positive"
}
|
| Target_Gender | enum | NA | NA | All | Specifies the gender restriction for the intervention. Possible values are:
|
{
"Target_Gender": "Male"
}
|
| Target_Residents_Only | boolean | 0 | 1 | 0 | When set to true (1), the intervention is only distributed to individuals that began the simulation in the node (i.e. those that claim the node as their residence). | {
"Target_Residents_Only": 1
}
|
| Times | array of floats | 0 | 999999 | NA | An array of years. | {
"Times": [
1998,
2000,
2003,
2006,
2009
],
"Values": [
0,
0.26,
0.08,
0.14,
0.54
]
}
|
| Timesteps_Between_Repetitions | integer | -1 | 10000 | -1 | The repetition interval. | {
"Timesteps_Between_Repetitions": 50
}
|
| Time_Value_Map | JSON object | NA | NA | NA | The years (times) and matching values of coverages. This parameter uses InterpolatedValueMap to create a JSON structure containing one array of Times and one for Values, which allows for a time-variable probability that can take on any shape over time. When queried at a simulation year corresponding to one of the listed Times, it returns the corresponding Value. The Times and Values must be of equal length, and can consist of a single value. Times must monotonically increase. | {
"Time_Value_Map": {
"Times": [
1960,
1961,
1962,
1963,
1964
],
"Values": [
0.25,
0.375,
0.4,
0.4375,
0.46875
]
}
}
|
| Update_Period | float | 1 | 3650 | 365 | The time between distribution updates. | {
"Update_Period": 30.0
}
|
| Values | array of floats | 0 | 3.40282e+38 | NA | An array of values to match the defined Times. | {
"Times": [
1998,
2000,
2003,
2006,
2009
],
"Values": [
0,
0.26,
0.08,
0.14,
0.54
]
}
|
| Targeting_Config | JSON object | NA | NA | NA | Be more selective of individuals by using the Targeting_Config classes. | {
"Targeting_Config": {
"class": "HasIntervention",
"Is_Equal_To": 0,
"Intervention_Name": "MyVaccine"
}
}
|
{
"Use_Defaults": 1,
"Events": [{
"class": "CampaignEventByYear",
"Nodeset_Config": {
"class": "NodeSetAll"
},
"Start_Year": 1960,
"Event_Coordinator_Config": {
"class": "ReferenceTrackingEventCoordinatorHIV",
"Target_Demographic": "ExplicitGender",
"Target_Gender": "Male",
"Target_Disease_State": "HIV_Negative",
"Update_Period": 182,
"End_Year": 1965,
"Time_Value_Map": {
"Times": [1960, 1961, 1962, 1963, 1964],
"Values": [
0.25,
0.375,
0.4,
0.4375,
0.46875
]
},
"Intervention_Config": {
"class": "MaleCircumcision",
"Cost_To_Consumer": 10.0,
"Circumcision_Reduced_Acquire": 0.6,
"Distributed_Event_Trigger": "VMMC_1"
}
}
}]
}