/* Describe your code here */ bps = 10k bps_per_bn_bar = 0.5 to 50 risk_window = 30 // probably makes sense for this to be a distribution, e.g. TAI timelines or similar bio_x_risk = (0.1% to 10%)/risk_window // annual biorisk during risk window risk_reduction = 1% // placeholder
/* Describe your code here */ k = 0.01 to 15 // a bit wider than the range here https://docs.google.com/spreadsheets/d/1lVr0aWTFvlcjG2Rp7GPKOan_ET2hwSBoy05Ap8KsUko/edit#gid=0 fluence = 1 to 20 // 5 is current eye TLV. 20 is a guess. This is where I'd look for more: https://docs.google.com/spreadsheets/d/1MloCPdN72vSGUxUUeDeeqdW4b1wAT5RIRJW1AVl-AaI/edit#gid=0 base_ACH = 1 to 15 // 1DS IAQ report: ASHRAE standards "approximately 1-2 ACH in residences and offices (though half of studied buildings fall below ASHRAE standards)." "high levels of eACH up to CDC hospital standards (8-12 eACH)". Assuming that base ACH might be much higher in a pandemic base_decay = 0.1 to 0.3 // numbers from Richard, I don't understand them
/* Describe your code here */ //Risk reduction risk_reduction = 1% // placeholder //Baseline pandemic_data = { pop: 8B,
// Context here: https://docs.google.com/document/d/119_ADMYWSBdzAdqXMuKepphpQqZxSY7yU7DDCYjD-sY/edit //Switches extinction_off = 1//0 is off, 1 is on non_exctinction_off = 1 //0 is off, 1 is on //Risk reduction pathogen_inactivation = { k = 0.01 to 15 // a bit wider than the range here https://docs.google.com/spreadsheets/d/1lVr0aWTFvlcjG2Rp7GPKOan_ET2hwSBoy05Ap8KsUko/edit#gid=0 fluence = 1 to 20 // 5 is current eye TLV. 20 is a guess. This is where I'd look for more: https://docs.google.com/spreadsheets/d/1MloCPdN72vSGUxUUeDeeqdW4b1wAT5RIRJW1AVl-AaI/edit#gid=0
/* Describe your code here */ // probability of maturity in window - this is an LLM and I don't fully understand it probability_maturity = 10% to 65% default_maturity = 10 to 100 window = 30 effective_window = if window > median(default_maturity) then median(default_maturity) - 10 else window
/* Describe your code here */ //Costs: How much does far-UVC cost? //Costs: direct costs cost = 100 to 200 @hide installation = cost*(0.5 to 1.5)
/* Describe your code here */ //direct costs cost = 500 to 1500 installation = cost*(0.5 to 1.5) maintenance = cost*(0.01 to 0.03)
/* Describe your code here */ valuation_data = { qaly: 250k, qaly_percent: 0.71 to 0.84 } @hide
/* Describe your code here */ // Case rate info annual_deaths = 60k to 150k //https://covid.cdc.gov/covid-data-tracker/#trends_totaldeaths_select_00 provisional cases in the last year: 65355 //https://ourworldindata.org/covid-cases confirmed deaths over the last year 1.18m-1.12m = 60000 //https://www.metaculus.com/questions/7546/deaths-from-covid-19-per-year-2022-2025-in-us/ 130k forecasted per year 2022 to 2025
// Case rate info annual_deaths = 60k to 150k //https://covid.cdc.gov/covid-data-tracker/#trends_totaldeaths_select_00 provisional cases in the last year: 65355 //https://ourworldindata.org/covid-cases confirmed deaths over the last year 1.18m-1.12m = 60000 //https://www.metaculus.com/questions/7546/deaths-from-covid-19-per-year-2022-2025-in-us/ 130k forecasted per year 2022 to 2025 annual_hospitalisations = 800k to 850k //https://covid.cdc.gov/covid-data-tracker/#trends_cumulativehospitalizations_select_00 hospitalisations in the last year: 839988 // as a sense check https://covid.cdc.gov/covid-data-tracker/#trends_weeklyhospitaladmissions_select_00 over the past year the weekly average is <20k, which matches this
/* Describe your code here */ // Case rate info annual_deaths = 250k //https://covid.cdc.gov/covid-data-tracker/#trends_totaldeaths_select_00 provisional cases in the last year: 65355 //https://ourworldindata.org/covid-cases confirmed deaths over the last year 1.18m-1.12m, = 60000 annual_hospitalisations = 800k to 850k
/* Describe your code here */ annual_dalys = 1.5M to 1.9M //https://vizhub.healthdata.org/gbd-results/?params=gbd-api-2019-permalink/f05fb4c2c2eff1b51312420333435c4e qaly = 250000 annual_cost = annual_dalys*qaly covid_pandemic_deaths = 1.12M