condition¶
Syntax¶
condition <condition_name> {
# INITIAL STATES
start_state = <state_name>
meta_start_state = <state_name>
group_start_state = <state_name>
# TRANSMISSION PROPERTIES
transmission_mode = <transmission_mode>
transmissibility = <transmissibility_value>
exposed_state = <exposed_state>
transmission_network_name = <transmission_network_name>
# OUTPUT PROPERTIES
output = <value>
# STATES
...
<states>
...
}
Description¶
Declares a condition block. A "condition block" defines a condition to track within the population. Conditions may represent diseases, behaviors, beliefs, or any other aspect of the population of interest to the modeler. A FRED program may include any number of conditions. The set of properties for conditions is shown in the synopsis. Each property has a default value as shown.
It is an error for two separate conditions to have the same name.
Examples¶
simulation {
start_date = 2020-Jan-01
end_date = 2020-Jan-01
locations = none
default_model = none
}
network my_network {
is_directed = 1
}
condition TestCondition {
start_state = Excluded
meta_start_state = MetaStart
state MetaStart {
add_edge(my_network, 1, 2)
print("Expect 1 == ", has_edge_from(my_network, 1, 2))
print("Expect 0 == ", has_edge_from(my_network, 2, 1))
add_edge(my_network, 2, 1)
print("Expect 1 == ", has_edge_from(my_network, 1, 2))
print("Expect 1 == ", has_edge_from(my_network, 2, 1))
delete_edge(my_network, 1, 2)
print("Expect 0 == ", has_edge_from(my_network, 1, 2))
print("Expect 1 == ", has_edge_from(my_network, 2, 1))
wait(0)
default(Excluded)
}
}