Ventilator Requirement Forecast Calculator

Work out ventilator requirement forecast instantly with clear inputs, formula shown and shareable results.

About Ventilator Requirement Forecast Calculator

Chains case numbers through hospitalisation and ventilation rates, then multiplies by ventilation duration to give simultaneous ventilator demand.

Formula

Ventilator demand

Ventilators in use = new cases per day x hospitalisation rate x ventilation share x average days ventilated

Worked example

With the default values below, Ventilator Requirement Forecast Calculator returns Ventilators in simultaneous use of 100.0. Change any input above and every figure here is recalculated in your browser.

Inputs used

New cases per dayaccepts 1–1,000,000: 500
Share needing hospital careaccepts 0.1–60: 8
Share of admissions needing ventilationaccepts 0.1–80: 25
Average days ventilatedaccepts 1–60: 10

Results

Ventilators in simultaneous use: 100.0
New ventilated patients per day: 10.00
Hospital admissions per day: 40.0
Ventilator days per week: 700

Step by step

1Values used
2Ventilator demand
3Ventilators in simultaneous use= 100.0
4New ventilated patients per day= 10.00
5Hospital admissions per day= 40.0
6Ventilator days per week= 700

Assumptions and limits

The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

Why does duration matter so much?

Demand is proportional to length of ventilation, so a small increase in ventilated days raises the requirement in step.

Should this be applied to case counts?

Only with caution: case ascertainment varies, so hospitalisation data give more reliable forecasts.