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Table: Parameter dictionary

Name Value Symbol Description Source
rng_seed 1 - Random starting seed -
param_id 1 - Parameters identifier -
n_total 1000000 - Total population simulated -
mean_work_interactions_child 10 - Mean daily interactions at work (school) for children (aged 0-19) Mossong et al, 2008
mean_work_interactions_adult 7 - Mean daily interactions at work for adults (aged 20-69) Mossong et al, 2008
mean_work_interactions_elderly 3 - Mean daily interactions at work (or similar) for the elderly (aged 70+) Mossong et al, 2008
daily_fraction_work 0.5 - Fraction of people in work network that an individual interacts with each day Mossong et al, 2008
work_network_rewire 0.1 - Rewire parameter on the Watts-Strogatz work networks -
mean_random_interactions_child 2 - Mean number of daily random interactions for children (0-19) Mossong et al, 2008
sd_random_interactions_child 2 - Standard deviation for daily random interactions for children (0-19) Mossong et al, 2008
mean_random_interactions_adult 4 - Mean number of daily random interactions for adults (20-69) Mossong et al, 2008
sd_random_interactions_adult 4 - Standard deviation for daily random interactions for adults (20-69) Mossong et al, 2008
mean_random_interactions_elderly 3 - Mean number of daily random interactions for the elderly (70+) Mossong et al, 2008
sd_random_interactions_elderly 3 - Standard deviation for daily random interactions for the elderly (70+) Mossong et al, 2008
random_interaction_distribution 1 - Distribution used for random interactions (0=fixed, age dep, 1=negative binomial) -
child_network_adults 0.2 - Ratio of adults to children in work network for children (0-19) Mossong et al, 2008
elderly_network_adults 0.2 - Ratio of adults to elderly in work network for elderly (70+) Mossong et al, 2008
days_of_interactions 10 - Length of historic interactions traced (days) -
end_time 200 - End time (total number of simulated days) -
n_seed_infection 10 - Number of infections seeded at simulation start -
mean_infectious_period 5.5 μ Mean of the generation time distribution (days) Ferretti et al in prep 2020; Ferretti & Wymant et al 2020; Xia et al 2020; He et al 2020; Cheng et al 2020
sd_infectious_period 2.14 σ Standard deviation (days) of infectious period Ferretti et al in prep 2020; Ferretti & Wymant et al 2020; Xia et al 2020; He et al 2020; Cheng et al 2020
infectious_rate 5.8 R Mean number of individuals infected by each infectious individual with moderate to severe symptoms Derived from calibration
sd_infectiousness_multiplier 1.4 - SD of the lognormal used to vary the infectiousness of an individual Derived from calibration
mean_time_to_symptoms 5.42 μsym Mean time from infection to onset of symptoms (days) McAloon et al.
sd_time_to_symptoms 2.7 σsym Standard deviation of time from infection to onset of symptoms (days) McAloon et al.
mean_time_to_hospital 5.14 μhosp Mean time from symptom onset to hospitalisation (days) Pellis et al, 2020
mean_time_to_critical 2.27 μcrit Mean time from hospitalisation to critical care admission (days) Personal communication with SPI-M; data soon to be published
sd_time_to_critical 2.27 σcrit Standard deviation of time from hospitalisation to critical care admission (days) Personal communication with SPI-M; data soon to be published
mean_time_to_recover 12 μrec Mean time to recovery if hospitalisation is not required (days) Yang et al 2020
sd_time_to_recover 5 σrec Standard deviation of time to recovery if hospitalisaion is not required (days) Yang et al 2020
mean_time_to_death 11.74 μdeath Mean time to death after acquiring critical care (days) Personal communication with SPI-M; data soon to be published
sd_time_to_death 8.79 σdeath Standard deviation of time to death after acquiring critical care (days) Personal communication with SPI-M; data soon to be published
mean_time_to_susceptible_after_shift 180 - mean time to susceptible after recovered (and after a fixed period of time_to_susceptible_shift days) -
time_to_susceptible_shift 10000 - Fixed number of days individuals are immune until waning immunity begins -
fraction_asymptomatic_0_9 0.456 φasym(0-9) Fraction of infected individuals who are asymptomatic, aged 0-9 -
fraction_asymptomatic_10_19 0.412 φasym(10-19) Fraction of infected individuals who are asymptomatic, aged 10-19 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
fraction_asymptomatic_20_29 0.370 φasym(20-29) Fraction of infected individuals who are asymptomatic, aged 20-29 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
fraction_asymptomatic_30_39 0.332 φasym(30-39) Fraction of infected individuals who are asymptomatic, aged 30-39 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
fraction_asymptomatic_40_49 0.296 φasym(40-49) Fraction of infected individuals who are asymptomatic, aged 40-49 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
fraction_asymptomatic_50_59 0.265 φasym(50-59) Fraction of infected individuals who are asymptomatic, aged 50-59 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
fraction_asymptomatic_60_69 0.238 φasym(60-69) Fraction of infected individuals who are asymptomatic, aged 60-69 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
fraction_asymptomatic_70_79 0.214 φasym(70-79) Fraction of infected individuals who are asymptomatic, aged 70-79 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
fraction_asymptomatic_80 0.192 φasym(80) Fraction of infected individuals who are asymptomatic, aged 80+ -
asymptomatic_infectious_factor 0.33 Aasym Infectious rate of asymptomatic individuals relative to symptomatic individuals Personal communication, Sun
mild_fraction_0_9 0.533 φmild(0-9) Fraction of infected individuals with mild symptoms, aged 0-9 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_10_19 0.569 φmild(10-19) Fraction of infected individuals with mild symptoms, aged 10-19 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_20_29 0.597 φmild(20-29) Fraction of infected individuals with mild symptoms, aged 20-29 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_30_39 0.614 φmild(30-39) Fraction of infected individuals with mild symptoms, aged 30-39 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_40_49 0.616 φmild(40-49) Fraction of infected individuals with mild symptoms, aged 40-49 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_50_59 0.602 φmild(50-59) Fraction of infected individuals with mild symptoms, aged 50-59 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_60_69 0.571 φmild(60-69) Fraction of infected individuals with mild symptoms, aged 60-69 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_70_79 0.523 φmild(70-79) Fraction of infected individuals with mild symptoms, aged 70-79 Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_fraction_80 0.461 φmild(80) Fraction of infected individuals with mild symptoms, aged 80+ Calibration of Riccardo et al. 2020 & Spanish Serology Survey
mild_infectious_factor 0.72 Amild Infectious rate of mildly symptomatic individuals relative to symptomatic individuals Personal communication, Sun
mean_asymptomatic_to_recovery 15 μa,rec Mean time from infection to recovery (and no longer infectious) for an asymptomatic individual (days) Yang et al 2020
sd_asymptomatic_to_recovery 5 σa,rec Standard deviation from infection to recovery for an asymptomatic individual (days) Yang et al 2020
household_size_1 7452 - Number of UK households with 1 person (thousands) ONS UK
household_size_2 9936 - Number of UK households with 2 people (thousands) ONS UK
household_size_3 4416 - Number of UK households with 3 people (thousands) ONS UK
household_size_4 4140 - Number of UK households with 4 people (thousands) ONS UK
household_size_5 1104 - Number of UK households with 5 people (thousands) ONS UK
household_size_6 552 - Number of UK households with 6 people (thousands) ONS UK
population_0_9 8054000 - UK population aged 0-9 ONS UK
population_10_19 7528000 - UK population aged 10-19 ONS UK
population_20_29 8712000 - UK population aged 20-29 ONS UK
population_30_39 8835000 - UK population aged 30-39 ONS UK
population_40_49 8500000 - UK population aged 40-49 ONS UK
population_50_59 8968000 - UK population aged 50-59 ONS UK
population_60_69 7069000 - UK population aged 60-69 ONS UK
population_70_79 5488000 - UK population aged 70-79 ONS UK
population_80 3281000 - UK population aged 80+ ONS UK
daily_non_cov_symptoms_rate 0.002 - Daily probability of reporting similar symptoms which are not covid-19, including seasonal flu UK flu survey
relative_susceptibility_0_9 0.35 S0-9 Relative susceptibility to infection, aged 0-9 Zhang et al. 2020
relative_susceptibility_10_19 0.69 S10-19 Relative susceptibility to infection, aged 10-19 Zhang et al. 2020
relative_susceptibility_20_29 1.03 S20-29 Relative susceptibility to infection, aged 20-29 Zhang et al. 2020
relative_susceptibility_30_39 1.03 S30-39 Relative susceptibility to infection, aged 30-39 Zhang et al. 2020
relative_susceptibility_40_49 1.03 S40-49 Relative susceptibility to infection, aged 40-49 Zhang et al. 2020
relative_susceptibility_50_59 1.03 S50-59 Relative susceptibility to infection, aged 50-59 Zhang et al. 2020
relative_susceptibility_60_69 1.27 S60-69 Relative susceptibility to infection, aged 60-69 Zhang et al. 2020
relative_susceptibility_70_79 1.52 S70-79 Relative susceptibility to infection, aged 70-79 Zhang et al. 2020
relative_susceptibility_80 1.52 S80 Relative susceptibility to infection, aged 80+ Zhang et al. 2020
relative_transmission_household 2 Bhome Relative infectious rate of household interaction -
relative_transmission_occupation 1 Boccupation Relative infectious rate of workplace interaction -
relative_transmission_random 1 Brandom Relative infectious rate of random interaction -
hospitalised_fraction_0_9 0.001 φhosp(0-9) Fraction of infected individuals with severe symptoms aged 0-9 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_10_19 0.006 φhosp(10-19) Fraction of infected individuals with severe symptoms aged 10-19 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_20_29 0.015 φhosp(20-29) Fraction of infected individuals with severe symptoms aged 20-29 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_30_39 0.069 φhosp(30-39) Fraction of infected individuals with severe symptoms aged 30-39 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_40_49 0.219 φhosp(40-49) Fraction of infected individuals with severe symptoms aged 40-49 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_50_59 0.279 φhosp(50-59) Fraction of infected individuals with severe symptoms aged 50-59 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_60_69 0.370 φhosp(60-69) Fraction of infected individuals with severe symptoms aged 60-69 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_70_79 0.391 φhosp(70-79) Fraction of infected individuals with severe symptoms aged 70-79 who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
hospitalised_fraction_80 0.379 φhosp(80) Fraction of infected individuals with severe symptoms aged 80+ who are hospitalised Calibration of Riccardo et al. 2020 & Spanish Serology Survey & Ferguson et al. 2020
critical_fraction_0_9 0.05 φcrit(0-9) Fraction of hospitalised individuals aged 0-9 who need critical care Ferguson et al, 2020
critical_fraction_10_19 0.05 φcrit(10-19) Fraction of hospiatlised individuals aged 10-19 who need critical care Ferguson et al, 2020
critical_fraction_20_29 0.05 φcrit(20-29) Fraction of hospitalised individuals aged 20-29 who need critical care Ferguson et al, 2020
critical_fraction_30_39 0.05 φcrit(30-39) Fraction of hospitalised individuals aged 30-39 who need critical care Ferguson et al, 2020
critical_fraction_40_49 0.063 φcrit(40-49) Fraction of hospitalised individuals aged 40-49 who need critical care Ferguson et al, 2020
critical_fraction_50_59 0.122 φcrit(50-59) Fraction of hospitalised individuals aged 50-59 who need critical care Ferguson et al, 2020
critical_fraction_60_69 0.274 φcrit(60-69) Fraction of hospitalised individuals aged 60-69 who need critical care Ferguson et al, 2020
critical_fraction_70_79 0.432 φcrit(70-79) Fraction of hospitalised individuals aged 70-79 who need critical care Ferguson et al, 2020
critical_fraction_80 0.709 φcrit(80) Fraction of hospitalised individuals aged 80+ who need critical care Ferguson et al, 2020
fatality_fraction_0_9 0.33 φdeath(0-9) Fraction of fatalities amongst individuals in critical care aged 0-9 Lu et al. 2020, Dong et al. 2020
fatality_fraction_10_19 0.25 φdeath(10-19) Fraction of fatalities amongst individuals in critical care aged 10-19 Lu et al. 2020, Dong et al. 2020
fatality_fraction_20_29 0.5 φdeath(20-29) Fraction of fatalities amongst individuals in critical care aged 20-29 Ferguson et al, 2020
fatality_fraction_30_39 0.5 φdeath(30-39) Fraction of fatalities amongst individuals in critical care aged 30-39 Ferguson et al, 2020
fatality_fraction_40_49 0.5 φdeath(40-49) Fraction of fatalities amongst individuals in critical care aged 40-49 Yang et al 2020
fatality_fraction_50_59 0.69 φdeath(50-59) Fraction of fatalities amongst individuals in critical care aged 50-59 Yang et al 2020
fatality_fraction_60_69 0.65 φdeath(60-69) Fraction of fatalities amongst individuals in critical care aged 60-69 Yang et al 2020
fatality_fraction_70_79 0.88 φdeath(70-79) Fraction of fatalities amongst individuals in critical care aged 70-79 Yang et al 2020
fatality_fraction_80 1 φdeath(80) Fraction of fatalities amongst individuals in critical care aged 80+ Yang et al 2020
mean_time_hospitalised_recovery 8.75 μhosp,rec Mean time to recover if hospitalised Personal communication with SPI-M; data soon to be published
sd_time_hospitalised_recovery 8.75 σhosp,rec Standard deviation of time to recover if hospitalised Personal communication with SPI-M; data soon to be published
mean_time_critical_survive 18.8 μcrit,surv Mean time to survive if critical Personal communication with SPI-M; data soon to be published
sd_time_critical_survive 12.21 σcrit,surv Standard deviation of time to survive if critical Personal communication with SPI-M; data soon to be published
location_death_icu_0_9 1 φICU(0-9) Proportion of individuals in 0-9 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_10_19 1 φICU(10-19) Proportion of individuals in 10-19 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_20_29 0.9 φICU(20-29) Proportion of individuals in 20-29 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_30_39 0.9 φICU(30-39) Proportion of individuals in 30-39 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_40_49 0.8 φICU(40-49) Proportion of individuals in 40-49 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_50_59 0.8 φICU(50-59) Proportion of individuals in 50-59 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_60_69 0.4 φICU(60-69) Proportion of individuals in 60-69 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_70_79 0.4 φICU(70-79) Proportion of individuals in 70-79 year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
location_death_icu_80 0.05 φICU(80) Proportion of individuals in 80+ year olds with critical symptoms that reach critical care (the remaining proportion die outside of critical care; note that the remaining proportion are marked as being hospitalised in the transmission and timeseries files) -
quarantine_length_self 7 - Maximum number of days quarantine for individuals self-reporting symptoms -
quarantine_length_traced_symptoms 14 - Maximum number of days quarantine for individuals who are traced after a contact reported symptoms -
quarantine_length_traced_positive 14 - Maximum number of days quarantine for individuals who are traced after a contact tested positive -
quarantine_length_positive 14 - Maximum number of days quarantine for individuals with a positive test result -
quarantine_dropout_self 0.02 - Daily probability of drop out for an individual quarantining after self-reporting symptoms -
quarantine_dropout_traced_symptoms 0.04 - Daily probability of drop out for an individual quarantining after being traced following contact with an individual self-reporting symptoms -
quarantine_dropout_traced_positive 0.03 - Daily probability of drop out for an individual quarantining after being traced following contact with an individual who tested positive -
quarantine_dropout_positive 0.01 - Daily probability of drop out for an individual quarantining after a positive test result -
quarantine_compliance_traced_symptoms 0.5 - Fraction of individuals who initially comply with a quarantine notification after their contact reported symptoms -
quarantine_compliance_traced_positive 0.9 - Fraction of individuals who initially comply with a quarantine notification after their contact tested positive -
test_on_symptoms 0 - Test individuals who show symptoms (0=no, 1=yes) -
test_on_traced 0 - Test individuals who have been contact-traced (0=no, 1=yes) -
test_release_on_negative 1 - Release individuals following a negative test (0=no, 1=yes) -
trace_on_symptoms 0 - Trace contacts of individuals who show symptoms (0=no, 1=yes) -
trace_on_positive 0 - Trace contacts of an individual who tests positive (0=no, 1=yes) -
retrace_on_positive 0 - Repeat contract tracing be carried out on a positive test if already traced on symptoms (0=no, 1=yes) -
quarantine_on_traced 0 - Quarantine individuals who are traced (0=no, 1=yes) -
traceable_interaction_fraction 0.8 - Fraction of interactions that are captured if both users have the app -
tracing_network_depth 0 - Depth of interaction network to contact -
allow_clinical_diagnosis 1 - Commence contact tracing on a hospital clinical diagnosis -
quarantine_household_on_positive 0 - Quarantine household members of a person with a positive test (0=no, 1=yes) -
quarantine_household_on_symptoms 0 - Quarantine household members of a person with symptoms (0=no, 1=yes) -
quarantine_household_on_traced_positive 0 - Quarantine household members of a person who has been traced following contact with an individual who has tested positive (0=no, 1=yes) -
quarantine_household_on_traced_symptoms 0 - Quarantine household members of a person who has been traced following contact with an individual who has self-reported symptoms (0=no, 1=yes) -
quarantine_household_contacts_on_positive 0 - Quarantine the contacts of each household member of a person who tests positive (0=no, 1=yes) -
quarantine_household_contacts_on_symptoms 0 - Quarantine the contacts of other household members when someone gets symptoms -
quarantined_daily_interactions 0 - Daily random interactions of a quarantined individual -
quarantine_days 7 - The number of previous days' contacts to be traced and contacted -
quarantine_smart_release_day 0 - Release a chain of quarantined people if after this number of days nobody has shown symptoms on the chain -
hospitalised_daily_interactions 0 - Daily random interactions of a hospitalised individual -
test_insensitive_period 3 - Number of days following infection the test is insensitive Woelfel et al. 2020
test_sensitive_period 14 - Number of days following infection to end of period where test is sensitive -
test_sensitivity 0.8 - Sensitivity of test in the time where it is sensitive -
test_specificity 0.999 - Specificity of test (at any time) -
test_order_wait 1 - Minimum number of days to wait to take a test -
test_order_wait_priority -1 - Minimum number of days to wait for a priority test to be taken -
test_result_wait 1 - Number of days to wait for a test result -
test_result_wait_priority -1 - Number of days to wait for a priority test result -
priority_test_contacts_0_9 1000 - Number of contacts that triggers priority test for individuals aged 0-9 years old -
priority_test_contacts_10_19 1000 - Number of contacts that triggers priority test for individuals aged 10-19 years old -
priority_test_contacts_20_29 1000 - Number of contacts that triggers priority test for individuals aged 20-29 years old -
priority_test_contacts_30_39 1000 - Number of contacts that triggers priority test for individuals aged 30-39 years old -
priority_test_contacts_40_49 1000 - Number of contacts that triggers priority test for individuals aged 40-49 years old -
priority_test_contacts_50_59 1000 - Number of contacts that triggers priority test for individuals aged 50-59 years old -
priority_test_contacts_60_69 1000 - Number of contacts that triggers priority test for individuals aged 60-69 years old -
priority_test_contacts_70_79 1000 - Number of contacts that triggers priority test for individuals aged 70-79 years old -
priority_test_contacts_80 1000 - Number of contacts that triggers priority test for individuals aged 80+ years old -
self_quarantine_fraction 0 - Proportion of people who self-quarantine upon symptoms -
app_users_fraction_0_9 0.09 - Maximum fraction of the population with smartphones aged 0-9 OFCOM 3-5 year olds
app_users_fraction_10_19 0.8 - Maximum fraction of the population with smartphones aged 10-19 OFCOM 5-15 year olds
app_users_fraction_20_29 0.97 - Maximum fraction of the population with smartphones aged 20-29 OFCOM 16-55 year olds
app_users_fraction_30_39 0.96 - Maximum fraction of the population with smartphones aged 30-39 OFCOM 16-55 year olds
app_users_fraction_40_49 0.94 - Maximum fraction of the population with smartphones aged 40-49 OFCOM 16-55 year olds
app_users_fraction_50_59 0.86 - Maximum fraction of the population with smartphones aged 50-59 OFCOM 16-55 year olds
app_users_fraction_60_69 0.7 - Maximum fraction of the population with smartphones aged 60-69 OFCOM 55+ year olds
app_users_fraction_70_79 0.48 - Maximum fraction of the population with smartphones aged 70-79 OFCOM 55+ year olds
app_users_fraction_80 0.32 - Maximum fraction of the population with smartphones aged 80+ OFCOM 55+ year olds
app_turn_on_time 10000 - Time (days) at which to turn on the app -
lockdown_occupation_multiplier_primary_network 0.33 - Relative change in number of occupation network contacts on lockdown for primary age -
lockdown_occupation_multiplier_secondary_network 0.33 - Relative change in number of occupation network contacts on lockdown for secondary age -
lockdown_occupation_multiplier_working_network 0.33 - Relative change in number of occupation network contacts on lockdown for working age Based on an estimate of the number of key workers
lockdown_occupation_multiplier_retired_network 0.33 - Relative change in number of occupation network contacts on lockdown for retired age -
lockdown_occupation_multiplier_elderly_network 0.33 - Relative change in number of occupation network contacts on lockdown for elderly -
lockdown_random_network_multiplier 0.33 - Relative change in random network contacts on lockdown -
lockdown_house_interaction_multiplier 1.5 - Relative change in household network contacts on lockdown -
lockdown_time_on 10000 - Time (days) at which to model lockdown starting -
lockdown_time_off 10000 - Time (days) at which to model lockdown ending -
lockdown_elderly_time_on 10000 - Time (days) at which lockdown starts for elderly people -
lockdown_elderly_time_off 10000 - Time (days) at which lockdown ends for elderly people -
testing_symptoms_time_on 10000 - Time (days) at which to start testing on symptoms -
testing_symptoms_time_off 10000 - Time (days) at which to stop testing on symptoms -
intervention_start_time 0 - Time (days) after which interventions can be turned on -
hospital_on 0 - Turn on the hospital module (0=no, 1=yes) -
manual_trace_on 0 - Turn on manual tracing (0=no, 1=yes) -
manual_trace_time_on 10000 - Time (days) after which manual tracing is turned on -
manual_trace_on_hospitalization 1 - Trace when hospitalized if tested positive (no effect if manual_trace_on_positive is on) -
manual_trace_on_positive 0 - Trace when hospitalized if tested positive (no effect if manual_trace_on_positive is on) -
manual_trace_delay 1 - Delay (days) between triggering manual tracing due to testing/hospitalization and tracing occurring -
manual_trace_exclude_app_users 0 - Whether or not to exclude app users when performing manual tracing (exclude=1, include=0) -
manual_trace_n_workers 300 - Number of Contact Tracing Workers NACCHO Position Statement, 2020
manual_trace_interviews_per_worker_day 6 - Number of interviews performed per worker per day https://www.gwhwi.org/estimator-613404.html
manual_trace_notifications_per_worker_day 12 - Number of trace notifications performed per worker per day https://www.gwhwi.org/estimator-613404.html
manual_traceable_fraction_household 1 - The fraction of household contacts that can be successfully traced -
manual_traceable_fraction_occupation 0.8 - The fraction of occupation contacts that can be successfully traced -
manual_traceable_fraction_random 0.05 - The fraction of random contacts that can be successfully traced -
relative_susceptibility_by_interaction 1 - Type of relative susceptibility by age group (1 = per interaction; 0 = per day) -
rebuild_networks 1 - Should net works be rebuilt every time step or just on parameter changes -
max_n_strains 1 - Maximum number of stains allowed (note memory hit by allowing more than one) -
test_on_symptoms_compliance 0.8 - Fraction of individuals who get tested on symptoms if test_on_symptoms=TRUE -
test_on_traced_symptoms_compliance 0.0 - Fraction of individuals who get tested on traced from a symptomatic individual if test_on_traced=TRUE -
test_on_traced_positive_compliance 0.8 - Fraction of individuals who get tested on traced from a positive case if test_on_traced=TRUE -
quarantine_compliance_positive 1 - Fraction of individuals who initially comply with a quarantine notification after they have tested positive -