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Covid 19 Mask Effectiveness & Airborne Transmission Risk Calculator
Estimate indoor COVID-19 infection probability by mask type, room ventilation, and activity level using the Wells-Riley airborne transmission model.
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Probability of Infection
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How the COVID-19 Airborne Transmission Risk Calculator Works
This coronavirus mask calculator applies the Wells-Riley airborne transmission model, adapted for SARS-CoV-2, to estimate the probability of infection during shared indoor exposure. Researchers extended the original Wells-Riley framework to account for mask filtration on both the exhalation and inhalation sides. A peer-reviewed mathematical framework published in PMC (2020) validated this approach for quantifying COVID-19 transmission risk under real-world indoor conditions, and it underpins tools such as the Harvard Healthy Buildings COVID-19 Transmission Calculator.
The Core Formula
The infection probability P is calculated as:
P = 1 - exp( -[ I x q x (1 - E_out) x p x (1 - E_in) x t ] / [ V x ACH ] )
This exponential dose-response equation means that incremental reductions in any single exposure parameter produce disproportionately large drops in overall infection probability, making multi-layered interventions highly effective.
Variable Definitions
- I — Infected People in Room: The number of assumed contagious individuals present. Each additional infected person linearly multiplies the quanta concentration in the shared air volume.
- q — Quanta Emission Rate (quanta/hour): The rate at which one infected person releases infectious particles into room air. Quiet breathing emits approximately 2 quanta/hour; normal conversation roughly 10-20 quanta/hour; loud vocalization or singing can reach 50-100 quanta/hour under Wells-Riley parameterization.
- E_out — Exhalation Filtration Efficiency: The fraction of infectious particles blocked at the source by the infected person's mask. A surgical mask achieves approximately 55-65% source-control efficiency; a properly worn N95 respirator achieves 95%.
- p — Breathing Rate (m3/hour): The air volume inhaled per hour by the susceptible person. At rest this is approximately 0.3 m3/hour; during light activity, 0.54 m3/hour; during heavy exercise, up to 3.0 m3/hour.
- E_in — Inhalation Filtration Efficiency: The fraction of infectious particles filtered during inhalation by the susceptible person's mask. Cloth masks filter roughly 20-40%; KN95 masks 80-90%; properly fitted N95 respirators 95% or more.
- t — Duration (hours): Total exposure time in the shared indoor space. Even a 15-minute exposure (0.25 hours) at high quanta emission rates can deliver a meaningful infectious dose in a poorly ventilated room.
- V — Room Volume (m3): The total interior air volume. A standard room measuring 4 m x 3 m with a 2.5 m ceiling equals 30 m3. Larger volumes dilute airborne quanta faster, reducing steady-state concentration.
- ACH — Air Changes per Hour: The ventilation rate. A typical home registers 0.5-1 ACH; classrooms target 3-6 ACH; hospital isolation rooms require 6-12 ACH. A standalone HEPA air purifier can add 3-6 equivalent clean-air changes per hour.
How Mask Efficiency Multiplies
Source-control and inhalation efficiency act as independent, multiplicative filters in the formula. If both the infected and susceptible persons wear N95 respirators (E_out = 0.95, E_in = 0.95), the combined infectious dose fraction is (1 - 0.95) x (1 - 0.95) = 0.0025 — a 400-fold reduction compared to unmasked exposure. This multiplicative effect explains why bilateral N95 masking is dramatically more protective than single-sided masking alone.
Worked Example
Consider one infected person speaking normally (q = 10 quanta/hour) in a 50 m3 living room with ACH = 0.5. The susceptible person breathes at 0.54 m3/hour with no masks on either side. After 2 hours: dose = (1 x 10 x 1 x 0.54 x 1 x 2) / (50 x 0.5) = 0.432 quanta, giving P = 1 - e^(-0.432) which is approximately 35% infection risk. Upgrading both parties to surgical masks (E_out = 0.60, E_in = 0.50) drops the dose to 0.0864 quanta and risk to approximately 8% — a 4-fold improvement from masks alone, before considering ventilation upgrades.
Ventilation as a Primary Control
Raising ACH from 0.5 to 6 in the same example cuts unmasked infection risk from 35% to approximately 4% with no other changes — a 9-fold improvement. Combining high ACH with bilateral N95 respirators can reduce that same 2-hour exposure risk below 0.5%. Opening windows, running HVAC systems, and adding HEPA purifiers all contribute additive equivalent ACH and should be layered alongside masking for maximum protection.
Model Limitations
This calculator assumes well-mixed room air and steady-state quanta concentration. It does not model short-range aerosol jets from coughing, near-field droplet transmission within 1 metre, or imperfect mask fit. FDA computational PPE performance research shows that improper N95 fit reduces effective filtration to 50-70%, underscoring the critical importance of fit-testing and seal checks in real-world use. Treat results as comparative risk estimates rather than precise predictions.
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