Join a research collaboration to help decision makers to understand and manage people's responses to COVID-19
We are an open science research collaboration creating an international and continuously-updated dataset to help government and public health officials make better decisions to tackle Covid-19.

Existing COVID-19 related surveys are less optimised for providing immediate actionable insights to policy makers, such as the differences in adherence to key protective behaviours, and the barriers preventing people from performing these behaviours, and how these differ by postcode or demographic. Such data is therefore critical for efficient resource allocation but not currently available.

Building on the COSMO project, a WHO/Europe initiative - we will conduct a “living survey” -- with both repeated cross-sectional and longitudinal sampling -- running throughout the pandemic, to track relevant protective behaviours, their variations by demographic and location, and their determinants.

After each wave of data collection, we generate and disseminate an updated report about the prevalence of protective behaviours, their most important drivers or barriers, and a break-down by demographics. As we collect more waves, we will be able to visualise trends over time.

We will also test the effectiveness of different interventions at encouraging relevant behaviours.

We have just started collecting the second wave of data.More than 6000 people across 40 countries have completed the survey.

Please consider joining us in collaboration. You can contribute by:

Helping to disseminate the survey via social networks or panel data.
Reaching and helping policy makers in your country with the data we collect
Helping to modify our report template to provide useful and interesting information to policy makers.
Developing reports and doing analysis for policy makers
Providing us with feedback based on your discussion data collection
Helping with write up and dissemination when we seek to publish this work

If you contribute to this project in any significant way then you will be recognised on all outputs and be an author on any subsequent paper. The bar for recognition will be relatively low (perhaps ~5 hours of work).

We need your email address to contact you, but all other questions are optional.

Your submitted information will be viewable by other members of the team and, in rare cases, shared publicly (for instance, where we advertise the project). Please let me know if you are concerned about this, in which case we can store the information privately. Email: Peter.Slattery@monash.edu.

Thank you in advance for your help! Please share with anyone who might be a good fit.
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