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.

Choose a risk calculator

Long COVID for Adults, updated 27/05/2024

Long Covid calculator

Pfizer for Children - Omicron Variant, updated 27/02/2023

Children's calculator

First dose Pfizer - Omicron Variant, updated 22/05/2023

Pfizer calculator

First dose AstraZeneca - Omicron Variant, updated 11/03/2022

AstraZeneca calculator

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.