ArtificialDiet¶
The ArtificialDiet intervention class is used to include feeding stations for vectors within a node in a simulation. This is a node-targeted intervention and takes effect at the broad village level rather than at the individual level. For individual-level effect, use ArtificialDietHousingModification instead. An artificial diet diverts the vector from feeding on the human population, resulting in a two-fold benefit:
The uninfected mosquitoes avoid biting infected humans some of the time, therefore decreasing the amount of human-to-vector transmission.
Infectious vectors are diverted to feed on the artificial diet instead of the humans, therefore decreasing the amount of vector-to-human transmission.
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 |
---|---|---|---|---|---|---|
Artificial_Diet_Target |
enum |
NA |
NA |
AD_WithinVillage |
The targeted deployment of artificial diet. This parameter is required. Possible values are:
|
{
"Artificial_Diet_Target": "AD_WithinVillage"
}
|
Attraction_Config |
JSON object |
NA |
NA |
NA |
The fraction of vector feeds attracted to the artificial diet. Specify how this effect decays over time using one of the Waning effect classes. |
{
"Attraction_Config": {
"Initial_Effect": 0.5,
"Box_Duration": 100,
"Decay_Time_Constant": 150,
"class": "WaningEffectBoxExponential"
}
}
|
Cost_To_Consumer |
float |
0 |
999999 |
10 |
The unit cost per vector control (unamortized). |
{
"Cost_To_Consumer": 8
}
|
Disqualifying_Properties |
array of strings |
NA |
NA |
[] |
A list of NodeProperty key:value pairs that cause an intervention to be aborted (persistent interventions will stop being distributed to nodes 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"
]
}
|
Intervention_Name |
string |
NA |
NA |
ArtificialDiet |
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": "ArtificialDiet",
"Intervention_Name": "Feeding station in node 7"
}
}
|
New_Property_Value |
string |
NA |
NA |
NA |
An optional NodeProperty 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"
}
|
{
"Events": [{
"class": "CampaignEvent",
"Nodeset_Config": {
"class": "NodeSetAll"
},
"Start_Day": 120,
"Event_Coordinator_Config": {
"class": "StandardInterventionDistributionEventCoordinator",
"Intervention_Config": {
"class": "ArtificialDiet",
"Artificial_Diet_Target": "AD_WithinVillage",
"Attraction_Config": {
"Initial_Effect": 0.5,
"Box_Duration": 100,
"Decay_Time_Constant": 150,
"class": "WaningEffectBoxExponential"
},
"Cost_To_Consumer": 10.0
}
}
}],
"Use_Defaults": 1
}