Title
A framework for repetitive large-scale citizen science surveys to inform health policy quickly during different stages of the COVID-19 pandemic (Research)
Abstract
In order to suppress or mitigate the COVID-19 – or any similar future
- pandemic, both speed and broad population engagement are key.
This project aims to collect timely information on behavioural change
(voluntary or enforced by government), symptoms, workforce
participation and telework, postponed treatment for non-COVID-19
related disease, as well as its psychological and social impact. We do
this by setting up a large scale weekly online survey, allowing us to
study evolutions over time as well as patterns in the large sets of
data obtained (thus far 1 in 6 people in Flanders participated in at
least one of the 6 survey waves). We use a great diversity of
advanced statistical techniques to analyse the data generated, and
share our insights directly with policy makers and the general public.
This information directly informs policy making and partly feeds into
mathematical models predicting the evolution of the pandemic under
various scenarios, and can partly also be used to estimate its
economic and social impact. Drawing from this experience, for future
COVID-19 waves or other pandemics we aim to set up a lasting
framework to obtain quickly reliable information that is representative
of the general population. We also want to establish a lasting
database, that enables researchers of various disciplines to use as
study material in years to come.
Period of project
22 May 2020 - 21 May 2021