These results represent a snapshot from 505 participants collected to understand the public perceptions and acceptance of tracking technologies introduced in resopnse to the COVID-19 pandemic. This sample was gathered through the data collection platform Prolific.
Notes on cleaning the data.
After cleaning the data for the above participants, the final sample at analysis was 491 participants.
Our sample was strongly skewed towards younger Italians, and slightly skewed towards men. Below, we also show the distribution of the regions of residence of our participants.
Gender identification: Percentages | |
#Total | |
---|---|
Gender | |
Men | 56.6 |
Women | 42.6 |
Other | 0.4 |
Prefer not to say | 0.4 |
#Total cases | 491 |
Level of education: Percentages | |
#Total | |
---|---|
Education | |
Did Not Graduate High School | 3.3 |
Graduated High School | 52.5 |
Graduated University | 44.2 |
#Total cases | 491 |
Our survey also asked participants about how they had experienced and been impacted by the COVID-19 pandemic.
Most participants reported having spent 0 days in lockdown or quarantine, although a large amount also reported being in lockdown for a more than 50 days. This appears to show that the lockdown has been very variable, with many people reporting long lockdowns but also many reporting 0 lockdown.
Further, approximately 18% of participants reporting losing their job, either in part or whole.
I have lost my job: Percentages | |
#Total | |
---|---|
I lost my job | |
No | 82.3 |
Yes | 17.7 |
#Total cases | 491 |
A majority of people got their news regarding the COVID-19 pandemic from a Newspaper (44%), televisoin (27.5) and social media (22%).
Information source: Percentages | |
#Total | |
---|---|
Information source | |
Newspaper (printed or online) | 43.6 |
Social media | 22.0 |
Friends/family | 0.4 |
Radio | 0.4 |
Television | 27.5 |
Other | 5.3 |
Do not follow | 0.8 |
#Total cases | 491 |
Almost half of our respondents (44%) knew participants who had tested postitive to COVID-19, but only 1% of them had themselves tested positive for COVID-19.
Somebody I know tested positive for COVID-19: Percentages | |
#Total | |
---|---|
Tested pos someone I know | |
No | 56 |
Yes | 44 |
#Total cases | 491 |
I have tested positive for COVID-19: Percentages | |
#Total | |
---|---|
tested Positive | |
Yes | 99 |
No | 1 |
#Total cases | 491 |
We asked participants to estimate what percentage of the general population were complying with government social distancing policies. The graph below shows that these estimates were quite varied (SD = 22%), with the mean estimate being 46%.
However, when asked to rate their own compliance with government social distancing policies,the picture was brighter with a clear majority of participants reported that they completely follow these policies, or go beyond them.
Participants were asked four questions that asked them about their perceptions of the risk, and their worry about, the COVID pandemic.
The graph below shows participants responses to these questions.
Finally, we asked participants to report their estimates on the number of fatalities across a range of countries. Responses were made on a sliding scale ranging from 0 - 120,000; results are reported in estimated deaths per 1000 (see violin plot).
Participants read the following scenario before answering questions abour their opinions of it:
The COVID-19 pandemic has rapidly become a worldwide threat. Containing the virus’ spread is essential to minimise the impact on the healthcare system, the economy, and save many lives. The Italian Government might consider using smartphone tracking data to identify and contact those who may have been exposed to people with COVID-19. This would help reduce community spread by identifying those most at risk and allowing health services to be appropriately targeted. Only people that downloaded a government app and agreed to be tracked and contacted would be included in the project. The more people that download and use this app the more effectively the Government would be able to contain the spread of COVID-19. Data would be stored in an encrypted format on a secure server accessible only to the Italian Government. Data would only be used to contact those who might have been exposed to COVID-19.
The following boxplots characterize participant’s confidence that in each scenario Government tracking would:
75% of our participants said they would download this app. After being asked questions about the privacy implications of the app (see below), this reduced slightly to 73%.
Uptake of App: Percentages (before considering privacy implications) | |
#Total | |
---|---|
Would you download the app? | |
No | 25.3 |
Yes | 74.7 |
#Total cases | 491 |
Uptake of App: Percentages (After considering privacy implications) | |
#Total | |
---|---|
Would you download the app? | |
No | 27.3 |
Yes | 72.7 |
#Total cases | 491 |
Participants who did previously answered that they would not download the app (134 participants), where then asked if they would do so if:
31% of these participants said they would download the app if their was a 6-month sunset on the app, and 61% said they would download the app if the data was stored locally on their phone.
Conditional uptake of App with 6-month sunset clause: Percentages | |
#Total | |
---|---|
Would you download the app if all data was deleted after 6 months? | |
No | 68.7 |
Yes | 31.3 |
#Total cases | 134 |
Conditional uptake of App with local storage: Percentages | |
#Total | |
---|---|
Would you download the app if all data was stored locally on your phone? | |
No | 38.8 |
Yes | 61.2 |
#Total cases | 134 |
The next graph shows responses to the following items (abridged from survey):