Infectivity and transmission¶
The following parameters determine aspects of infectivity and disease transmission. For example, how infectious individuals are and the length of time for which they remain infectious, whether the disease can be maternally transmitted, and how population density affects infectivity.
Note
Parameters are casesensitive. 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.
Parameter 
Data type 
Minimum 
Maximum 
Default 
Description 
Example 

Base_Infectivity 
float 
0 
1000 
0.3 
The base infectiousness of individuals before accounting for transmissionblocking effects of acquired immunity and/or campaign interventions. For STI or HIV simulations, this is the probability of transmission when none of the transmission multipliers apply to a particular coital act (or when all multipliers are set to 1). 
{
"Base_Infectivity": 0.5
}

Condom_Transmission_Blocking_Probability 
float 
0 
1 
0.9 
The peract multiplier of the transmission probability when a condom is used. 
{
"Condom_Transmission_Blocking_Probability": 0.99
}

Enable_Heterogeneous_Intranode_Transmission 
boolean 
0 
1 
0 
Controls whether or not individuals experience heterogeneous disease transmission within a node. When set to true (1), individual property definitions and the \(\beta\) matrix must be specified in the demographics file (see NodeProperties and IndividualProperties parameters). The \(\beta\) values are multiplied with the \(\beta\) _{0} value configured by Base_Infectivity. This is used only in generic, environmental, and typhoid simulations, but must be set to false (0) for all other simulation types. Heterogeneous transmission for other diseases uses other mechanistic parameters included with the simulation type. 
{
"Enable_Heterogeneous_Intranode_Transmission": 1
}

Enable_Infectivity_Reservoir 
boolean 
0 
1 
0 
Controls whether or not an exogeneous reservoir of infectivity will be included in the simulation and allows for the infectivity in a node to be increased additively. When set to 1 (true), the demographics parameter InfectivityReservoirSize is expected in NodeAtttributes for each node. Warning Do not set both Enable_Infectivity_Reservoir and Enable_Strain_Tracking to true (1)  as this combination will cause an exception error. 
{
"Enable_Infectivity_Reservoir": 1
}

Enable_Initial_Prevalence 
boolean 
0 
1 
0 
Controls whether or not parameters in the demographics file are used to define a distribution for the number of infected people per node at the beginning of the simulation. Set the distribution under NodeAttributes using PrevalenceDistributionFlag, PrevalenceDistribution1, and PrevalenceDistribution2. 
{
"Enable_Initial_Prevalence": 1
}

Enable_Maternal_Infection_Transmission 
boolean 
0 
1 
0 
Controls whether or not infectious mothers infect infants at birth. Enable_Birth must be set to 1 (true). Warning Do not set both Enable_Maternal_Infection_Transmission and Enable_Strain_Tracking to true (1)  as this combination will cause an exception error. 
{
"Enable_Birth": 1,
"Enable_Maternal_Infection_Transmission": 1
}

Enable_Skipping 
boolean 
0 
1 
0 
Controls whether or not the simulation uses an optimization that can increase performance by up to 50% in some cases by probabilistically exposing individuals rather than exposing every single person. Useful in lowprevalence, highpopulation scenarios. 
{
"Enable_Skipping": 0
}

Enable_Superinfection 
boolean 
0 
1 
0 
Controls whether or not an individual can have multiple infections simultaneously. Set to true (1) to allow for multiple simultaneous infections; set to false (0) if multiple infections are not possible. Set the Max_Individual_Infections parameter. 
{
"Enable_Superinfection": 1,
"Max_Individual_Infections": 2
}

Enable_Termination_On_Zero_Total_Infectivity 
boolean 
0 
1 
0 
Controls whether or not the simulation should be ended when total infectivity falls to zero. Supported only in singlenode simulations. 
{
"Enable_Termination_On_Zero_Total_Infectivity": 1,
"Minimum_End_Time": 3650
}

Infection_Updates_Per_Timestep 
integer 
0 
144 
1 
The number of infection updates executed during each timestep; note that a timestep defaults to one day. 
{
"Infection_Updates_Per_Timestep": 1
}

Infectious_Period_Constant 
float 
0 
3.40282E+38 
1 
The infectious period to use for all individuals, in days, when Infectious_Period_Distribution is set to CONSTANT_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "CONSTANT_DISTRIBUTION",
"Infectious_Period_Constant": 8
}

Infectious_Period_Distribution 
enum 
NA 
NA 
NOT_INITIALIZED 
The distribution type to use for assigning the infectious period to each individual in the population. Each individual’s value is a random draw from the distribution. Possible values are:

{
"Infectious_Period_Distribution": "GAUSSIAN_DISTRIBUTION",
"Infectious_Period_Gaussian_Mean": 4,
"Infectious_Period_Gaussian_Std_Dev": 1
}

Infectious_Period_Exponential 
float 
0 
3.40282E+38 
1 
The mean infectious period, in days, when Infectious_Period_Distribution is set to EXPONENTIAL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "EXPONENTIAL_DISTRIBUTION",
"Infectious_Period_Exponential": 4.25
}

Infectious_Period_Gaussian_Mean 
float 
0 
3.40282E+38 
1 
The mean infectious period, in days, when Infectious_Period_Distribution is set to GAUSSIAN_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "GAUSSIAN_DISTRIBUTION",
"Infectious_Period_Gaussian_Mean": 4,
"Infectious_Period_Gaussian_Std_Dev": 1
}

Infectious_Period_Gaussian_Std_Dev 
float 
1.17549E38 
3.40282E+38 
1 
The standard deviation of the infectious period, in days, when Infectious_Period_Distribution is set to GAUSSIAN_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "GAUSSIAN_DISTRIBUTION",
"Infectious_Period_Gaussian_Mean": 4,
"Infectious_Period_Gaussian_Std_Dev": 1
}

Infectious_Period_Kappa 
float 
1.17549E38 
3.40282E+38 
1 
The shape value for the infectious period, in days, when Infectious_Period_Distribution is set to WEIBULL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "WEIBULL_DISTRIBUTION",
"Infectious_Period_Kappa": 0.9,
"Infectious_Period_Lambda": 1.5
}

Infectious_Period_Lambda 
float 
1.17549E38 
3.40282E+38 
1 
The scale value for the infectious period, in days, when Infectious_Period_Distribution is set to WEIBULL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "WEIBULL_DISTRIBUTION",
"Infectious_Period_Kappa": 0.9,
"Infectious_Period_Lambda": 1.5
}

Infectious_Period_Log_Normal_Mu 
float 
3.40282e+38 
1.70141e+38 
3.40282e+38 
The mean of the natural log of the infectious period, in days, when Infectious_Period_Distribution is set to LOG_NORMAL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "LOG_NORMAL_DISTRIBUTION",
"Infectious_Period_Log_Normal_Mu": 9,
"Infectious_Period_Log_Normal_Sigma": 2
}

Infectious_Period_Log_Normal_Sigma 
float 
3.40282e+38 
1.70141e+38 
3.40282e+38 
The standard deviation of the natural log of the infectious period, in days, when Infectious_Period_Distribution is set to LOG_NORMAL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "LOG_NORMAL_DISTRIBUTION",
"Infectious_Period_Log_Normal_Mu": 9,
"Infectious_Period_Log_Normal_Sigma": 2
}

Infectious_Period_Max 
float 
0 
3.40282E+38 
1 
The maximum infectious period, in days, when Infectious_Period_Distribution is set to UNIFORM_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "UNIFORM_DISTRIBUTION",
"Infectious_Period_Min": 2,
"Infectious_Period_Max": 7
}

Infectious_Period_Mean_1 
float 
1.17549E38 
3.4E+38 
1 
The mean of the first exponential distribution, in days, when Infectious_Period_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
"Infectious_Period_Mean_1": 4,
"Infectious_Period_Mean_2": 12,
"Infectious_Period_Proportion_1": 0.2
}

Infectious_Period_Mean_2 
float 
1.17549E38 
3.40282E+38 
1 
The mean of the second exponential distribution, in days, when Infectious_Period_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
"Infectious_Period_Mean_1": 4,
"Infectious_Period_Mean_2": 12,
"Infectious_Period_Proportion_1": 0.2
}

Infectious_Period_Min 
float 
0 
3.40282E+38 
1 
The minimum infectious period, in days, when Infectious_Period_Distribution is set to UNIFORM_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "UNIFORM_DISTRIBUTION",
"Infectious_Period_Min": 2,
"Infectious_Period_Max": 7
}

Infectious_Period_Peak_2_Value 
float 
0 
3.40282E+38 
1 
The infectious period value, in days, to assign to the remaining individuals when Infectious_Period_Distribution is set to DUAL_CONSTANT_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "DUAL_CONSTANT_DISTRIBUTION",
"Infectious_Period_Proportion_0": 0.25,
"Infectious_Period_Peak_2_Value": 5
}

Infectious_Period_Poisson_Mean 
float 
0 
3.40282E+38 
1 
The mean of the infectious period, in days, when Infectious_Period_Distribution is set to POISSON_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "POISSON_DISTRIBUTION",
"Infectious_Period_Poisson_Mean": 5
}

Infectious_Period_Proportion_0 
float 
0 
1 
1 
The proportion of individuals to assign a value of zero days infectiousness when Infectious_Period_Distribution is set to DUAL_CONSTANT_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "DUAL_CONSTANT_DISTRIBUTION",
"Infectious_Period_Proportion_0": 0.25,
"Infectious_Period_Peak_2_Value": 5
}

Infectious_Period_Proportion_1 
float 
0 
1 
1 
The proportion of individuals in the first exponential distribution when Infectious_Period_Distribution is set to DUAL_EXPONENTIAL_DISTRIBUTION. 
{
"Infectious_Period_Distribution": "DUAL_EXPONENTIAL_DISTRIBUTION",
"Infectious_Period_Mean_1": 4,
"Infectious_Period_Mean_2": 12,
"Infectious_Period_Proportion_1": 0.2
}

Infectivity_Exponential_Baseline 
float 
0 
1 
0 
The scale factor applied to Base_Infectivity at the beginning of a simulation, before the infectivity begins to grow exponentially. Infectivity_Scale_Type must be set to EXPONENTIAL_FUNCTION_OF_TIME. 
{
"Infectivity_Exponential_Baseline": 0.1,
"Infectivity_Exponential_Delay": 90,
"Infectivity_Exponential_Rate": 45,
"Infectivity_Scale_Type": "EXPONENTIAL_FUNCTION_OF_TIME"
}

Male_To_Female_Relative_Infectivity_Ages 
array of floats 
NA 
NA 
0 
The vector of ages governing the susceptibility of females relative to males, by age. Used with Male_To_Female_Relative_Infectivity_Multipliers. 
{
"Male_To_Female_Relative_Infectivity_Ages": [
15,
25,
35
]
}

Male_To_Female_Relative_Infectivity_Multipliers 
array of floats 
NA 
NA 
1 
An array of scale factors governing the susceptibility of females relative to males, by age. Used with Male_To_Female_Relative_Infectivity_Ages. Scaling is linearly interpolated between ages. The first value is used for individuals younger than the first age in Male_To_Female_Relative_Infectivity_Ages and the last value is used for individuals older than the last age. 
{
"Male_To_Female_Relative_Infectivity_Multipliers": [
5,
1,
0.5
]
}

Maternal_Infection_Transmission_Probability 
float 
0 
1 
0 
The probability of transmission of infection from mother to infant at birth. Enable_Maternal_Infection_Transmission must be set to 1. Note For malaria and vector simulations, set this to 0. Instead, use the Maternal_Antibody_Protection, Maternal_Antibody_Decay_Rate, and Maternal_Antibodies_Type parameters. 
{
"Maternal_Infection_Transmission_Probability": 0.3
}

Max_Individual_Infections 
integer 
0 
1000 
1 
The limit on the number of infections that an individual can have simultaneously. Enable_Superinfection must be set to 1. 
{
"Max_Individual_Infections": 5
}

Population_Density_C50 
float 
0 
3.40E+38 
10 
The population density at which R0 for a 2.5arc minute square reaches half of its initial value. Population_Density_Infectivity_Correction must be set to SATURATING_FUNCTION_OF_DENSITY. 
{
"Population_Density_C50": 30
}

Population_Density_Infectivity_Correction 
enum 
NA 
NA 
CONSTANT_INFECTIVITY 
Correction to alter infectivity by population density set in the Population_Density_C50 parameter. Measured in people per square kilometer. Possible values are:
Note Sparsely populated areas have a lower infectivity, while densely populated areas have a higher infectivity, which rises to saturate at the Base_Infectivity value. 
{
"Population_Density_Infectivity_Correction": "SATURATING_FUNCTION_OF_DENSITY"
}

Relative_Sample_Rate_Immune 
float 
0.001 
1 
0.1 
The relative sampling rate for people who have acquired immunity through recovery or vaccination. The immune threshold at which to downsample is set by Immune_Threshold_For_Downsampling. If set to 1, this will have no effect, even if the individual’s immunity modifier is below threshold. This can be a useful sanity check while learning this feature. Individual_Sampling_Type must be set to ADAPTED_SAMPLING_BY_IMMUNE_STATE. 
{
"Relative_Sample_Rate_Immune": 0.1,
"Immune_Threshold_For_Downsampling": 0.8,
"Individual_Sampling_Type": "ADAPTED_SAMPLING_BY_IMMUNE_STATE"
}

STI_Coinfection_Acquisition_Multiplier 
float 
0 
100 
10 
The peract HIV acquisition probability multiplier for individuals with the STI coinfection flag. 
{
"STI_Coinfection_Transmission_Multiplier": 13.4,
"STI_Coinfection_Acquisition_Multiplier": 10
}

STI_Coinfection_Transmission_Multiplier 
float 
0 
100 
10 
The peract HIV transmission probability multiplier for individuals with the STI coinfection flag. 
{
"STI_Coinfection_Transmission_Multiplier": 13.4,
"STI_Coinfection_Acquisition_Multiplier": 10
}

Susceptibility_Type 
enum 
NA 
NA 
FRACTIONAL 
Controls implementation of an individual’s susceptibility. Currently only relevant to Maternal_Protection_Type parameter. Possible values are:

{
"Susceptibility_Type": "FRACTIONAL",
"Enable_Maternal_Protection": 1,
"Maternal_Protection_Type": "LINEAR_FRACTIONAL"
}

Symptomatic_Infectious_Offset 
float 
3.40282e+38 
3.40282e+38 
3.40282e+38 
Amount of time, in days, after the infectious period starts that symptoms appear. Negative values imply an individual is symptomatic before infectious. If this offset is greater than the infectious duration, the infection will not be symptomatic. For example, if Incubation_Period_Constant is set to 10 and Symptomatic_Infectious_Offset is set to 4, then an infected person would become symptomatic 14 days after transmission. 
{
"Infectious_Period_Distribution": "CONSTANT_DISTRIBUTION",
"Symptomatic_Infectious_Offset": 4,
"Incubation_Period_Constant": 10
}

Transmission_Blocking_Immunity_Decay_Rate 
float 
0 
1000 
0.001 
The rate at which transmissionblocking immunity decays after the base transmissionblocking immunity offset period. Used only when Enable_Immunity and Enable_Immune_Decay parameters are set to true (1). 
{
"Transmission_Blocking_Immunity_Decay_Rate": 0.01
}

Transmission_Blocking_Immunity_Duration_Before_Decay 
float 
0 
45000 
0 
The number of days after infection until transmissionblocking immunity begins to decay. Only used when Enable_Immunity and Enable_Immune_Decay parameters are set to true (1). 
{
"Transmission_Blocking_Immunity_Duration_Before_Decay": 90
}
