CoRiCal: COVID-19 Risk Calculator

CoRiCal is a tool to help people make decisions about getting a COVID-19 vaccine. It shows how the vaccine can lower the chance of catching, getting sick from or dying from COVID-19. It also shows the chance of getting rare side effects from the vaccines.

The tool shows the chance based on your age, sex, and vaccinations. You can choose to see the results ‘as a chance' or 'per million people' by clicking on the tabs.

The results shown are only a guide. The tool shows the average result for people with the same sex and age as you. This tool does not consider other things that can change your chance of infection or illness from COVID-19. This includes your general health, where you work or go to school, or your COVID-19 safe behaviours.

When making decisions about getting a COVID-19 vaccine, you should also consider how your chance might change in the future. This might include a change in the number of cases in your community or travel to an area with more cases.

Watch these videos for examples of how to understand the risk calculator results: general model, kids model, long covid model.

Back to calculator selection

Long COVID Calculator

About you

Enter your age, sex, number of ongoing medical conditions, number of previous SARS-CoV-2 infections, and if you’ve had a vaccine to check your risks.

Sex
What ongoing medical conditions do you have?These are conditions that have lasted at least 3 months and are likely to get worse over time without treatment. While most are able to be treated, few are curable. Common examples include, but are not limited to:
How many previous SARS-CoV-2 infections have you had? CoRiCal shows you risks for your next infection.
How many COVID-19 vaccine doses have you had?
Primary courseBoosters (leave empty if you haven't had any extra boosters)
Important information

Risk output

Please submit the form for output.

CoRiCal co-chairs: Colleen Lau, John Litt, Kirsty Short
Project conception: Andrew Baird, John Litt, Kirsty Short
Web Development: Aapeli Vuorinen, Tina Moghaddam, Hongen Lu
Subject expertise: Andrew Baird, Anoop Enjeti, Colleen Lau, John Litt, Raj Puranik, Kirsty Short, Tej Shukla, Sudhir Wahi, Olivia Williams, Sophie Wen, Phil Britton
Model design: Colleen Lau, Helen Mayfield, Kerrie Mengersen, Tej Shukla, Jane Sinclair, Ramona Muttucumaru, Sam Brown, Olivia Williams
Data acquisition: Andrew Baird, Anoop Enjeti, Colleen Lau, John Litt, Tej Shukla, Kirsty Short
Data analysis: Samuel Brown, Colleen Lau, Helen Mayfield, Kerrie Mengersen, Jane Sinclair, Michael Waller
Risk Communication: Carissa Bonner (videos), Colleen Lau, John Litt, Kirsty Short, Jane Sinclair
Administration and project management: Jayne Geddes, John Litt, Helen Mayfield, Kim Sampson, Kirsty Short, Hongen Lu

Collaborating institutions
University of Queensland
Flinders University
Queensland University of Technology
University of Sydney
BayesFusion
© 2021-2023 Immunisation Coalition.