The model is configured on a global-level to define parameters for the entire population. Node-specific parameters can be defined for specific geographic regions such as states, districts, and wards separately. Node-wise configuration overrides global configuration.

**Global Configuration**:

###### Parameters

**pop_frac**: population fractions of different age groups: [0-19,20-39,40-59,60+]

**rate_frac**: rate multiplier of different age groups (default value of 1 corresponds to a rate of ~2.3)

**rates**: basic reproduction number R0 is the number of secondary infections each infected individual produces (largest eigenvalue chosen from the 4×4 matrix used to model the four age categories)

**param**: global intervention is a time event that impacts the parameters of the simulation (for eg: lockdown)

**intervention_date**: date when intervention was put in place

**intervention_type**: distinguishes between global and nodal interventions

**intervention_day**: number of days after which the intervention was put in place (void from latest version)

**CFR**: case fatality rate of different age groups (percentage of infected people who pass away)

**P_SEVERE**: hospitalization rate of different age groups (percentage of infected people who need to be hospitalized)

**I0**: initial number of infectious persons at the start of the simulation

**E0**: initial number of exposed persons at the start of the simulation

**D_death**: average time duration an individual takes to move from infection to death

**D_hospital_lag**: average time duration for an infected person to be hospitalised (assuming the individual is hospitalised)

**D_incubation**: time duration an exposed person incubates for before getting infected

**D_infectious**: time duration an infectious individual (symptomatic and asymptomatic) is shedding the virus

**D_recovery_mild**: recovery time for mild cases (non-hospitalised individuals)

**D_recovery_severe**: average length of stay in a hospital for severe cases

**Fatal0**: initial number of fatal persons at the start of the simulation

**Mild0**: initial number of recovering mild cases at the start of the simulation

**R0**: initial number of removed persons (recovered or dead) at the start of the simulation

**R_Fatal0**: initial number of removed fatal cases at the start of the simulation

**R_Mild0**: initial number of removed mild cases at the start of the simulation

**R_Severe0**: initial number of removed hospitalized cases at the start of the simulation

**S0**: initial number of susceptible persons (number of people who are not immune to the disease at the start of the simulation, typically encompasses the entire population)

**Severe0**: initial number of severe cases recovering at home at the start of the simulation

**Severe_H0**: initial number of severe cases recovering at hospitals at the start of the simulation

`{`

"pop_frac": [0.44, 0.35, 0.15, 0.06], "rate_frac": [1, 1, 1, 1], "rates": 2.3,

"param": [`{`

"intervention_date": "04-02-2020",

"rate_frac": [0.2, 0.2, 0.2, 0.2],

"intervention_type": "global"

}

],

"CFR": [0.01,0.065,0.125,0.25],

"P_SEVERE": [0.15, 0.35, 0.6, 0.9],

"I0": 50,

"E0": 75,

"D_death": 14,

"D_hospital_lag": 5,

"D_incubation": 5.2,

"D_infectious": 2.9,

"D_recovery_mild": 11.1,

"D_recovery_severe": 28.6,

"Fatal0": 0,

"Mild0": 0,

"R0": 0,

"R_Fatal0": 0,

"R_Mild0": 0,

"R_Severe0": 0,

"S0": -1,

"Severe0": 0,

"Severe_H0": 0

}

**Nodal Configuration **(State, District, etc):

###### Parameters

**node**: name of the node ie the geographical boundary for which the simulation is executed

**t0**: offset value ie the starting day for the specific simulation in comparison to the simulation’s reference

**pop**: total population within the node’s geographic boundary

**nodal_param_change**: node-wise interventions ie time events that impacts only the geographical area for which the node is defined

**intervention_date**: date when intervention was put in place

**intervention_type**: distinguishes between global and nodal interventions

**intervention_day**: number of days after which the intervention was put in place

**rate_frac**: rate multiplier of different age groups (default value of 1 corresponds to a rate of ~2.3)

`[`

{

"node": "Andhra Pradesh",

"pop": 57013668,

"nodal_param_change": [

{

"intervention_date": "04-03-2020",

"intervention_type": "local",

"delI": 20,

"rate_frac": [0.4, 0.4, 0.4, 0.4]

}

]

},

{ "node": "Arunachal Pradesh", "pop": 1591286 },

{ "node": "Assam", "pop": 35886412 },

{ "node": "Bihar", "pop": 119714369 },

{ "node": "Chandigarh", "pop": 1213767 },

{ "node": "Chhattisgarh", "pop": 29376977 },

{

"node": "Delhi",

"pop": 19306132,

"nodal_param_change": [

{

"intervention_date": "04-03-2020",

"intervention_type": "local",

"delI": 50,

"rate_frac": [0.6, 0.6, 0.6, 0.6]

}

]

},