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CC: Inputs
Mike Henderson edited this page May 29, 2020
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INPUT:
The description of the input parameters for the %EasyRun
Macro follow the macro definition in COVID_19.sas
and are detailed in the table below.
- All percentage inputs should be entered as decimal values between 0 and 1.
- The Sigma input parameter only applies to the SEIR models and represents the amount of time units (days) during which the average patients is in the Exposed compartment before moving to the Infected compartment. Theoretically acceptable values range from 0 to infinity, non-inclusive. An arbitrarily small value close to 0, like 0.00001 on this time scale, means that patients moving from Susceptible to Exposed would then instantaneously move to Infected, effectively removing the Exposed compartment and changing the SEIR model to a SIR model. An arbitrarily large value close to infinity, like 10,000 on this time scale, means that patients spend such a long time in the Exposed compartment relative to the Infected compartment that the Infected curve also spreads out over a very long time with a very small peak, effectively neutralizing the pandemic.
- Length of Stay (LOS) inputs have three accepted entry formats:
- To assign all patients an average length of stay, the input can be an integer number of days
- To assign patients a length of stay randomly from a table distribution, the input can be a delimitted (:) array of rates for the number of days 1, 2, ...
- examples:
- average length of stay of 7 can be input as 7 or 0:0:0:0:0:0:1
- to indicate half of patients stay 4 days and half stay 8 days use 0:0:0:.5:0:0:0:.5
- examples:
- Another way to assign a length of stay randomly from a table distribution when many days have a 0 rate is to use delimited pairs for desired days
- examples:
- average length of stay of 7 can be input as 7 or 7|1 (read: 7 days for 100% of patients)
- to indicate half of patients stay 4 days and half stay 8 days use 4|0.5:8|0.5 (read: 4 days for 50% of patients and 8 days for 50%)
- examples:
Input Parameter | Label | Description | Example Input | Type of Parameter |
---|---|---|---|---|
Scenario | Scenario Name | Scenario Name to be stored as a character variable, combined with automatically-generated ScenarioIndex to create a unique ID | Scenario_DrS_00_20_run_1 (spaces are ok) | positional |
IncubationPeriod | Average Days between Infection and Hospitalization | Number of days by which to offset hospitalization from infection, effectively shifting utilization curves to the right | 0 | positional |
InitRecovered | Number of Recovered (Immune) Patients on Day 0 | Initial number of Recovered patients, assumed to have immunity to future infection | 0 | positional |
RecoveryDays | Average Days Infectious | Number of days a patient is considered infectious (the amount of time it takes to recover or die) | 14 | positional |
doublingtime | Baseline Infection Doubling Time (No Social Distancing) | Baseline Infection Doubling Time without social distancing | 5 | positional |
Population | Regional Population | Number of people in region of interest, assumed to be well mixed and independent of other populations | 4690484 | positional |
KnownAdmits | Number of Admitted Patients in Hospital of Interest on Day 0 | Number of COVID-19 patients at hospital of interest at Day 0, used to calculate the assumed number of Day 0 Infections | 10 | positional |
SocialDistancing | Initial Social Distancing (% Reduction from Normal) | Baseline Social distancing (% reduction in social contact compared to normal activity) | 0 | positional |
ISOChangeDate | Dates of Change in Social Distancing | Dates of changes from baseline in social distancing parameter | '31MAR2020'd:'06APR2020'd:'20APR2020'd:'01MAY2020'd | positional |
ISOChangeEvent | Event labels for Dates of Change | Event labels for changes from baseline in social distancing parameter | Social Distance:Essential Businesses:Shelter In Place:Reopen | positional |
ISOChangeWindow | Number of Days to rollout Social Distancing Change | Number of Days to rollout Social Distancing Change Starting on ISOChangeDate value | 1:1:1:1 | positional |
SocialDistancingChange | Social Distancing Change (% Reduction from Normal) | Values of social distancing at ISOChangeDate values (% reduction in social contact compared to normal activity) | 0:0.4:0.5:0.3 | positional |
MarketSharePercent | Anticipated Share (%) of Regional Hospitalized Patients | Anticipated share (%) of hospitalized COVID-19 patients in region that will be admitted to hospital of interest | 0.29 | positional |
Admission_Rate | Percentage of Infected Patients Requiring Hospitalization | Percentage of Infected patients in the region who will be hospitalized | 0.075 | positional |
ICUPercent | Percentage of Hospitalized Patients Requiring ICU | Percentage of hospitalized patients who will require ICU | 0.45 | positional |
VentPErcent | Percentage of Hospitalized Patients Requiring Ventilators | Percentage of hospitalized patients who will require Ventilators | 0.35 | positional |
FatalityRate | Percentage of Hospitalized Patients who will Die | Percentage of hospitalized patients who will die | 0 | positional |
plots | Display Plots (Yes/No) | YES/NO display plots in output | YES | keyword |
N_DAYS | Number of Days to Project | Number of days to project | 365 | keyword |
DiagnosedRate | Hospitalization Rate Reduction (%) for Underdiagnosis | Factor to adjust admission_rate contributing to via MarketSharePercent I (see calculation for I) | 1.0 | keyword |
E | Number of Exposed Patients on Day 0 | Initial Number of Exposed (infected but not yet infectious) | 0 | keyword |
SIGMA | Days Exposed before Infected | Rate of latent individuals Exposed and transported to the infectious stage during each time period | 3 | keyword |
DAY_ZERO | Date of the First COVID-19 Case | Date of the first COVID-19 case | '13MAR2020'd | keyword |
ECMO_RATE | Percentage of Hospitalized Patients Requiring ECMO | Default percent of total admissions that need ECMO | 0.03 | keyword |
DIAL_RATE | Percentage of Hospitalized Patients Requiring Dialysis | Default percent of admissions that need Dialysis | 0.05 | keyword |
HOSP_LOS | Hospital Length of Stay | Average Hospital Length of Stay | 7 OR 0:0:0:0:0:0:1 | keyword |
ICU_LOS | ICU Length of Stay | Average ICU Length of Stay | 9 OR 0:0:0:0:0:0:0:0:1 | keyword |
VENT_LOS | Ventilator Length of Stay | Average Vent Length of Stay | 10 OR 0:0:0:0:0:0:0:0:0:1 | keyword |
ECMO_LOS | ECMO Length of Stay | Average ECMO Length of Stay | 6 OR 0:0:0:0:0:1 | keyword |
DIAL_LOS | Dialysis Length of Stay | Average DIAL Length of Stay | 11 OR 0:0:0:0:0:0:0:0:0:0:1 | keyword |