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Results of the 4th wave (Nov'20) of our online survey of Germans’ attitudes towards #CoronaWarnApp are live!
https://tinyurl.com/y67q4xyc
with
@philipplenz6
@STWorg
@stefanmherzog
T.Pachur & R.Hertwig
Thread with
1/14
https://tinyurl.com/y67q4xyc
with
@philipplenz6
@STWorg
@stefanmherzog
T.Pachur & R.Hertwig
Thread with
1/14
About the 4th wave: An online sample of 1518 (1188 retained)
participants was recruited between 02.-08.11 – at the beginning of the new restrictions and at the pick of the 2nd wave of infections. See the graph (based on @PaulMGarrett code) for timing of our studies. 2/14
participants was recruited between 02.-08.11 – at the beginning of the new restrictions and at the pick of the 2nd wave of infections. See the graph (based on @PaulMGarrett code) for timing of our studies. 2/14
As in previous waves, before asking about the app, we explored respondents information use & trust, impact of #COVID19, public compliance with government policies, risk perceptions, among other topics. First, we see that risk perception of Covid-19 went up in November. 3/14
We also see that people have more concern for others to become infected than for themselves. Most people in Germany also report high level of compliance with the so-called AHA+L rules, for instance 86% report complete or high compliance with wearing masks. 4/14
The majority of German participants view positively their Government response to the pandemic. For instance, most respondents rate Germany's response as the best compared to other countries on the list. But we still see that about 15% say Germany didn’t do very well. 5/14
Beliefs in conspiracy narratives about Covid-19 are moderately low, with most people rating various conspiracy claims as false. But again, there is a minority of participants for whom such beliefs make sense. 6/14
So now, to the #CoronaWarnApp.
Crucially, its effectiveness depends not only on the engineering side but also on the social and health system in which it is implemented. It also depends on how individual users interact with this technology (or refuse to interact).
7/14
Crucially, its effectiveness depends not only on the engineering side but also on the social and health system in which it is implemented. It also depends on how individual users interact with this technology (or refuse to interact).
7/14
41% of participants in our sample said they have downloaded the app. Of these people who have downloaded the app, most have it still installed and keep their Bluetooth on. Their reasons for download: to protect their health and the health of other people. 8/14
59% of respondents didn't download the app and 45% say they will not download it in the future. Two leading reasons not to download the app are: belief it is not efficient & privacy concerns. Lack of government trust & concerns about 3rd party access also play a role. 9/14
In this study, we also asked participants about potential reasons for people not to share their positive test results in the app. Privacy concerns and feelings of shame (e.g., because one fears that they were not careful enough) proved to be two leading potential reasons. 10/14
When it comes to risk warnings in the #CoronaWarnApp, most people say they understand both red and green warnings fairly well. Although only about 2.4% already received a red warning and 1.6% received both. While 47% received green warnings. 11/14
Perceived ability of the #CoronaWarnApp to impact the pandemic in Germany is still either low or moderate. 12/14
More results
https://tinyurl.com/y67q4xyc
Note that this is an ongoing analysis and the results are not yet peer-reviewed.
This study is part of an international initiative exploring people’s attitudes to tracking technologies across countries
https://tinyurl.com/y5gr9q7e
13/14
https://tinyurl.com/y67q4xyc
Note that this is an ongoing analysis and the results are not yet peer-reviewed.
This study is part of an international initiative exploring people’s attitudes to tracking technologies across countries
https://tinyurl.com/y5gr9q7e
13/14
Many thanks to all co-authors & to @mirjam_jenny for shaping this wave of the study, as well as to the Australian & UK teams for coordinating the study, especially to @PaulMGarrett, @STWorg, @simonjohndennis
#OpenScience #COVID19 #CoronaWarnApp
14/14 the end
#OpenScience #COVID19 #CoronaWarnApp
14/14 the end
