Enter Your Inputs
Choose a calculation mode, provide values, and submit. The page returns the result above this form.
Sample Scenarios
| Scenario | Inputs | Main Formula | Result |
|---|---|---|---|
| Observed count | 18 transmissions, 120 exposures | p = x / n | 15.0000% |
| Repeated contacts | 4% per contact, 10 contacts | 1 − (1 − p)k | 33.5167% |
| Rate conversion | 0.12 per day, 14 days | 1 − e−λt | 81.3626% |
| Observed zero events | 0 transmissions, 40 exposures | p = x / n | 0.0000% |
Transmission Probability Formulas
1) Observed count mode
Point estimate: p = x / n
Standard error: SE = √(p(1−p)/n)
Future cumulative probability: P(at least one) = 1 − (1 − p)m
2) Repeated contact mode
Per-contact risk: pc
Zero transmissions after k contacts: (1 − pc)k
At least one transmission: 1 − (1 − pc)k
3) Rate to probability mode
Rate: λ
Duration: t
Probability over time: P = 1 − e−λt
The observed mode also reports a Wilson confidence interval. This interval behaves better than a simple normal approximation, especially with small samples or probabilities near zero and one.
Steps
- Select the mode that matches your data structure.
- Enter either observed counts, per-contact risk, or a transmission rate.
- Add future exposures, contacts, or duration for projection.
- Choose your preferred decimal precision.
- Submit the form to view the result above the calculator.
- Review the graph, export the values, and compare sample scenarios.
Frequently Asked Questions
1) What does transmission probability mean?
It is the chance that a transmission event occurs in a defined setting. The setting may be one exposure, several contacts, or a continuous period represented by a rate.
2) Which mode should I choose?
Use observed mode when you have actual transmission counts and total exposures. Use repeated mode for per-contact risk. Use rate mode when risk accumulates continuously over time.
3) Why is a confidence interval helpful?
A confidence interval shows the uncertainty around an estimate. Two samples can have the same point estimate but very different reliability, especially when sample sizes are different.
4) What if I observed zero transmissions?
The point estimate becomes zero, but uncertainty still matters. A confidence interval can remain above zero because limited data never proves impossibility.
5) Can the cumulative probability exceed 100%?
No. The calculator caps probability at the valid range from 0% to 100%. Repeated contacts can raise the risk sharply, but the result never exceeds certainty.
6) Is expected transmissions the same as cumulative probability?
No. Expected transmissions is an average count. Cumulative probability is the chance of at least one transmission. They answer different planning questions.
7) What does the graph show?
The chart shows how probability changes as exposures, contacts, or time increase. It helps you see how quickly risk accumulates under the chosen model.
8) Can I export my results?
Yes. The result section includes CSV and PDF download options. CSV is useful for spreadsheets, while PDF is convenient for reports and sharing.