The Covid19Impact Survey: Assessing the Pulse of the COVID-19 Pandemic in Spain via 24 questions

In this paper, we describe the results of analyzing a large-scale survey, called the Covid19Impact survey, to assess citizens feedback on four areas related to the COVID-19 pandemic in Spain: social contact behavior, financial impact, working situation and health status. A total of 24 questions cover the areas of demographics, their home situation, social contact behavior, personal economic impact, their workplace situation and their health. The survey was responded to by 146,728 participants over a period of 44 hours. Such a large response enables us to gain new insights, as well as an unprecedented glimpse at respondents personal experiences and concerns during the current COVID-19 pandemic. From the analysis, we draw 11 implications for the design of public policies related to the management of the COVID-19 pandemic.


Introduction
The first confirmed case of COVID-19 in Spain was reported on January 31 st , 2020 when a German tourist tested positive in the Spanish Canary Islands.However, this was an isolated, imported case.It was not until February 24 th when Spain confirmed several new COVID-19 cases related to a recent COVID-19 outbreak in the North of Italy.Since that date, the number of COVID-19 cases has been growing exponentially in Spain, such that by March 30 th , 2020 there were over 85,199 confirmed cases, 16,780 recoveries and the staggering figure of 7,424 deaths, according to the official figures.On March 25 th , 2020, the death toll attributed to COVID-19 in Spain surpassed that of mainland China and it is only surpassed by the death toll in Italy.The economic and social impact of the COVID-19 pandemic in Spain is without precedent.
To combat the pandemic, the Spanish Government implemented a series of social distancing and mobility restriction measures.First, all classes at all educational levels were cancelled in the main hotspots of the disease: on March 10 th , in the Basque Country, and on March 11st in the Madrid and La Rioja regions.All direct flights from Italy to Spain were cancelled on March 10 th .On March 12 th , the Catalan Government quarantined four municipalities that were particularly affected by the virus.On March 13 th , the Government of Spain declared a state of emergency for two weeks across the entire country, which was later extended until April 11 th .Unfortunately, different regions implemented containment measures at different times while still allowing travel to other regions, which might have enabled infected individuals to spread the virus.Since the state of emergency was established, all schools and university classes were cancelled; large-scale events and non-essential travel were forbidden, and workers were encouraged to tele-work.Despite these measures, the daily growth rate in the number of confirmed COVID-19 cases continued to grow.Thus, on March 30 th new mobility restriction and social distancing measures were implemented: all non-essential labor activity was to be interrupted for a 2-week period.
These measures have put a halt to the daily lives of most of the people in Spain.However, the number of confirmed cases, intensive care patients and deaths continues to grow exponentially.It is unclear how effective these measures will eventually be, as well as their impact on people's economic, physical and mental well-being.To shed light on these important, yet unknown questions, we designed a 24-question survey, called the Covid19Impact survey, to be deployed to the Spanish population.The survey was extremely wellreceived in Spain, becoming viral in the 12 hours after its publication and yielding to 146,728 answers.It is one of the largest surveys in the world carried out in the context of the COVID-19 pandemic.
In this paper, we first describe the Covid19Impact survey and the methodology that we followed to gather a representative sample via a citizen's science approach.Next, we present our preliminary results of the analysis of the answers and the main insights derived from them.Finally, we describe our conclusions and lines of future work.

The Covid19Impact Survey
Despite the availability of data regarding the number of confirmed COVID-19 cases, hospitalized and intensive care patients and deaths, there is a scarcity of highquality data about important questions related to the population's experience of the COVID-19 pandemic.
First, there is the issue of the under-reporting of confirmed cases and COVID-19 related deaths.Recent work by the Imperial College COVID-19 Response Team (Flaxman, 2020), estimates that 15% of the Spanish population could be infected by COVID-19.Assessing the percentage of infected individuals is of utmost importance to build accurate epidemiological models and to assist policymakers in their decisions.
Second, there are unknowns regarding the sources of infection.Are people being infected by friends, family members, relatives and co-workers?Or are they being infected because of serendipitous interactions in supermarkets or at the bakery?The effectiveness of different government interventions will depend on the answers to these questions.
Third, the economic impact that the COVID-19 crisis will have on people's lives is yet to be quantified.According to the latest figures from the Spanish Industry, Commerce and Tourism Ministry 1 , only 0,2% of Spanish companies have 250 or more employees; 45% of companies are micro (1-9 employees) or small (10-49 employees) and 54% of companies consist of the self-employed.Small businesses are generally unprepared to confront such a crisis.Moreover, tourism represents 14.6% of Spanish GDP and 2.8 million of jobs and these are threatened by the COVID-19 pandemic.Measuring the impact that COVID-19 is having on people's finances is of great value to policymakers.
Finally, there is the personal experience related to having to be confined in the home for weeks.How much longer are citizens able to sustain this situation?
To answer these questions, we designed a 24-question survey that we refer to as the Covid19Impact survey, shown in Appendix 1.The survey is divided in 6 sections that address different dimensions related to the citizens' experience of the COVID-19 crisis.All questions are anonymized to preserve privacy and no personal information is collected.In addition, our snowball methodology ensures anonymity and the absence of constraining or biasing factors as everyone contributed in a voluntary, and in many cases very committed, way.The survey can be found at covid19impactsurvey.org.
First, the survey obtains explicit consent from the users.Only when consent is granted and respondents confirm they are adults, respondents can respond to the rest of the questions.
The first section (Q1-Q4) gathers basic demographics: age range, gender, country and postal code.Next, there are 3 questions (Q4-Q7) related to the home situation: type of home, number of people in the home and their ages.The following 7 questions (Q8-Q14) address the social contact behavior of the respondents during the last two weeks.This is an important section of the survey as we aim to understand the level of social interaction that people have despite the social distancing measures.The questions ask about having had contact with infected individuals, whether children are taken care of outside the home, if they have an external person coming to their house (e.g.house cleaner), for what types of activities have they left their home and what transportation means have they used.The last two questions intend to capture people's perceptions of the confinement measures: if they think they are enough to contain the pandemic and for how long they would be able to tolerate the containment situation.
Personal economic impact is assessed with questions Q15 and Q16, followed by three questions (Q17-Q19) related to their workplace situation.
Finally, the last 5 questions (Q20-Q24) address their health state to assess how many people might be infected by the virus.
None of the questions except for the consent question are compulsory and all the health-related questions include "I prefer not to answer" as a choice.

Deployment of the Survey
The goal was to collect as representative of a sample as possible in a short amount of time, as the COVID-19 situation is rapidly evolving and new government measures might be implemented.The objective is to gather a snapshot of people's experiences regarding the 6 sections described above.
Anticipating the start of new mobility restriction and social distancing measures on Monday, March 30 th , we deployed the survey on Saturday, March 28 th at 8 PM.We used social media (Twitter and WhatsApp) to distribute it to a wide set of highly connected users who, in turn, distributed it to their contacts.The survey was also distributed by professional organizations, townhalls, civil groups and associations.It inspired tens of thousands of citizens to not only contribute with their own answers, but to share it with their friends, relatives, colleagues and followers.In the 12 hours that followed, the survey went viral in Spain; by the afternoon of Monday, March 30th, we had collected 146,728 answers.Figure 1 illustrates the growth in the number of answers over time.As shown in Figure 1, the peak was reached in the time frame between 4 PM -5 PM on Saturday, March 29 th , with around 15,000 answers per hour.
2 https://survey123.arcgis.com/The initial deployment was carried out via an online survey platform in a completely anonymous way.Given the high volume of answers, on March 30 th , 2020, we moved the survey to Survey123 2 for future editions of the data collection.
The results that we report in this paper correspond to the analysis of the 146,728 answers collected between the evening of March 29 th and 4 PM on March 30 th .

Data Cleansing
We eliminated all answers with blank (10,787) and invalid (8,161) postal codes, yielding 127,780 answers.Thus, we report the results of analyzing these 127,780 answers.

Demographics and Home Situation (Questions Q1-Q7)
Figure 2 displays the demographic information of the respondents: 59.4% (N=75,712) were female.In terms of age, we received between 1,272 (age<20) and 34,918 (age between 41-50) answers for each age group.Geographically, most respondents were from the Valencian region (76.2%,N=92,230).However, there were also many answers from other regions of Spain (N=34,144), as shown in Figure 3.

Social Contact Behavior (Questions Q8-Q14)
With respect to social contact behavior with confirmed COVID-19 patients (Q8), 18.2% (N=18,423) of respondents reported having had close contact with a person who was infected with coronavirus.The most common social context was a co-worker (5.4%, N=6,850), a home member (4.7%, N=3,573) or a relative (2.4%, N=3,084).Interestingly, a gender-centric analysis of the answers to this question revealed a significant (p<0.001)difference between male / female respondents that had been in close contact with a patient (and thus were healthcare workers, N=2,431): 70% of the respondents were female vs 30% male.
When asked if an outside person regularly visited the home (Q10), we identified a significant difference (p<0.001) between older adults (age>70) and younger respondents: 22% of older respondents (N=5,061) regularly had a person coming to their home vs only 13.6% in the case of younger adults (N=119,963).This is an important finding as special measures might need to be taken to protect the 22% of older adults who regularly receive external people in their homes.
Respondents left their homes during the social distancing period for a variety of purposes (Q11) as shown in Figure 4: covering basic needs (supermarkets and pharmacy) was the most common reason, reported by 47.9% of respondents, followed by going to work (31.9% of respondents, N=126,915).We identified statistically significant differences (p<0.001)regarding age and gender.Older respondents (age>60, N=22,844) were more likely to stay entirely at home (13.9% older vs 7.7% for younger), but leave their home to go to the pharmacy (48.4% vs 39.3%) and newspaper stand (9.4% vs 4%).
Regarding gender, among all female respondents (N=75,373), 12% reported not leaving the home vs 6.3% among male respondents (N=51,542).This difference was statistically significant (p<0.001).The opposite pattern is found with respect to leaving the home to go to work, where 28.1% of all female participants vs 37.4% of all male respondents selected this option.

Figure 4. Reasons for leaving the home by gender and age
The last two questions in this section (Q13 and Q14) concern the personal experience of respondents regarding the containment measures.Most respondents believe that the government should implement more measures to contain the pandemic (46.4%, N=127,077) and only 1.7% think that the measures are too severe.
There was a significant difference in the support of the measures by age group.Despite being at a lower risk of death, 52.7% of younger people (age<60 N=97,906) believed measures should be stronger, vs 35.6% older people (age>60 N=21,168).
Again, there was a significant gender difference in the opinions of respondents.Among female respondents (N=75,447), 48,6% believe that the government should do more vs 43% among male respondents (N=51,630).
Regarding whether the measures were too much, the pattern is reversed: among female respondents, 1.2% thought that this was the case, vs 2.4% among male respondents.All differences were statistically significant (p<0.001).
Question Q14 was meant to explore how sustainable citizens consider the social distancing measures to be.
Most respondents (44.4%) answered that they could continue in this confined state for 1 additional month, yet a non-negligible 29.4% reported being able to continue for 2 to 6 months (N=124,077).An interesting gender difference is found for those who responded that they could stay in confinement for 6 months: among female participants, 7.9% reported this to be the case vs 13.7% among male participants (p < 0.001).This might be due to the fact that women see their workload increased during the weeks of social distancing and mobility restriction.

Personal Economic Impact and Workplace Situation (Questions Q15-Q19)
An inevitable consequence of the COVID-19 pandemic is its economic and labor impact.Spain is a country with mostly small businesses, many of which are family owned.Questions Q15 through Q19 aim to shed light on the individual experiences and fears of people regarding their financial and employment situation.
When asked about the economic impact that the COVID-19 crisis is having on respondents' lives (Q15), 66.1% (N=125,758) felt that the crisis had not yet significantly affected them economically.Note that a large percentage of our respondents (41%) worked in public sectors (education, public administration, essential services and health).Yet, 19.8% had lost a significant part of their savings, and 6.5% had lost their job.Among the respondents who had worked in the last month, there were significant differences in the distribution of work activities, as show in companies (1-9 workers) being unaffected.Among those working in small companies, 15.1% reported their companies were facing bankruptcy.
Again, there is a gender-based statistically significant difference (p<0.001):among female respondents (N=74,318), 3.6% reported not being able pay their mortgage and/or pay for food vs 3% among male respondents.In terms of having lost their jobs and/or savings, this option was selected by 19.4% among female participants vs 17.3% among male respondents.
These figures paint a worrisome picture of the economic impact of the pandemic.
With respect to the labor situation of our respondents (Q16), the majority (69.7%,N=126,582) reported working in the last month.A small fraction, 4.7% of respondents were students.
Question Q17 focused on whether respondents had gone to work in the last week.The answers are almost evenly split between the three available options: 32.2% did not go to work, 33.2% tele-worked and 34.6% went to work (N=88,610).
Statistically significant gender differences (p<0.001) are observed regarding working participants who: (1) did not go to work (35.4% among female participants, N=51,420 vs 27.6% among male participants, N=37,190) and those who (2) did go to work (31% among female participants vs 39.6% among male participants.A small gender difference was found for those who tele-worked (33.5% among female participants vs 32.8% among male participants).In sum, female workers were significantly more likely to stay home than male workers.
Regarding risk factors, we obtained an even split between those who belonged to one of the risk groups (47.3%) vs not (47.8%),N=124,862.
Question Q21 aimed to evaluate the ability of respondents to isolate themselves from family members were they to be diagnosed with coronavirus.This is an important question given the relevance of implementing effective quarantine measures during the control phase of the pandemic (after the peak of infections is reached).Whereas 71.8% of respondents reported having the ability to properly isolate themselves, a non-negligible 28.2% of respondents acknowledged not having the necessary resources to implement a proper quarantine in place (N=126,885).
A gender-based analysis reveals statistically significant (p<0.001)differences between genders: among female participants (N=75,344), 29.6% reported not having the appropriate infrastructure to isolate themselves when compared to 26.1% among male participants (N=51,541).
In To shed light on the percentage of the population that might be infected with coronavirus, Q22 asked respondents if they currently had any of the COVID-19 related symptoms that were unusual for them: 17% of respondents reported having at least one of the relevant COVID-19 symptoms (N=123,219), and 6.5% reported having at least one of the more severe symptoms (fever, cough, and difficulty breathing).Interestingly, these percentages are at par with the estimated 15% of infected people in Spain according to (Flaxman, 2020).Genderwise, a larger percentage of women (18%, N=73,554) vs men (13.4%, N=50,039) reported having symptoms.The age group who most reported having symptoms was the 41-50 years group (30.3%, N=20,041).
Finally, when asked for whether respondents had been tested for COVID-19, 92.4% (N=119,356) felt they didn't need to be tested; 6.4% were told by their doctor they should be tested, but were told no tests were available; 0.7% had tested negative; 0.3% had tested positive, and 0.2% were waiting for their results, resulting in an overall test rate of 1.2%, as shown in Table 2.We found statistically significant (p<0.001)differences between those who exhibited COVID-19 symptoms (difficulty breathing, dry cough and fever) and those who didn't and their answers regarding testing: 92.9% (N=115,668) of those who didn't have symptoms considered testing not necessary, vs only 62.5% (N=7,366) for those who had symptoms.
When looking at Q8 (whether they had close contact with an infected individual) together with Q23 (weather they had been tested for COVID-19 and the results), we observe some interesting patterns.Among those who had tested positive (N=435), 75,8% had had close contact with a known infected individual: for 31,8% had been through a friend or relative; 18% through a client; 24,6% through a patient (they were healthcare workers) and only 0,7% at work.This means that in a very high percentage of cases, respondents with COVID-19 knew who might have infected them.

Discussion
Through the survey answers we identify several patterns and implications for the design of public policies in the context of the COVID-19 pandemic.
1.The value of involving citizens.We were overwhelmed by the extremely positive response of citizens to the survey.Mayors in large and small towns got involved and shared it with their employees and citizens; professional and civic associations disseminated it among their members; individuals advertised it among their contacts, and a few media organizations gave it visibility via articles and posts.The vast majority of respondents were enthusiastic and supportive of the initiative, yet also asked for the results to be shared as soon as possible.This outstanding response by people might reflect a societal need to have more information about the impact of COVID-19 in our lives, but is also a wonderful example of citizen's science and people's willingness to help by contributing with their answers to achieve a more data-driven decisionmaking processes.
2. The impact of close contacts.Over 18% of respondents reported having had close contact with someone who was infected by the coronavirus.This percentage was much higher (75,1%) among those who had tested positive for COVID-19.This increases the likelihood that those testing positive were infected by someone they knew and had close contact with, rather than, for example, a random infected stranger in a supermarket.This could have implications for containment strategies.
3. Gender matters.Numerous statistically significant differences were found between male and female respondents, with a clear pattern of placing women in situations of higher vulnerability or exposure when compared to men.As in other aspects of society, gender-based differences exist in the context of a pandemic.It is a socially important factor that needs to be considered.
4. Age also matters.We identified statistically significant differences in the social contact behavior questions between older participants (aged 70 and older) and younger participants (aged 60 and younger).Older respondents were more likely to stay home, and to leave their house to go to the pharmacy and newspaper stand.There were also different aged-based attitudes towards the containment measures: younger participants were significantly more supportive of stronger measures than older participants.

5.
Citizens demand more measures, as over 46% of respondents were supportive of implementing additional social distancing measures.This result might reflect the worry in people's minds regarding the exponential progression of the pandemic and the lack of clear signs of flattening the curve at the time of answering the survey.
6.And are willing to sustain social distancing for a month or more.Most respondents stated being able to sustain the social distancing measures for one additional month or more.Citizen's solidarity with the measures is reflected by the fact that over 29% of respondents reported being able to stay at home for two to six additional months.
7. The economic impact of the pandemic is evident, particularly for those working in small companies, 15% of which were reported to be facing bankruptcy.Moreover, over 19% of participants responded that they had lost a significant portion of their savings, some to the point of not being able to pay their mortgage or buy food.
8. The role of tele-work and labor mobility.Among those who were working, roughly one third of respondents reported tele-working and one third leaving the home to go to work.The tele-work figure is lower than in other countries.For example, in the US, it is estimated that 56-62% of the workforce could work remotely 3 .Moreover, on March 31 st , the Government established labor mobility restrictions for all non-essential professions.Given that 69,7% of respondents (N=88,437) reported having worked in the last month, our expectation is that this ~23% of the population will be impacted by such measures.Regarding workplace infections, we found that 18,8% of those who tested positive (and didn't work in the healthcare sector) had had close contact with a client who had coronavirus and only 0,7% of respondents had had such a contact with a colleague.
9. Quarantine infrastructure might be needed, as over 28% of respondents reported not having the appropriate infrastructure to isolate themselves at home.Effective quarantine measures for asymptomatic or lightly symptomatic patients are key to control the spread of the pandemic.Thus, developing the needed infrastructure before reaching the peak of the infection might be key.
10.The number COVID-19 infected individuals is certainly higher than officially reported.In our survey, over 17% of respondents reported having at least one of the COVID-19 related symptoms and over 6.5% reported having at least one of more severe symptoms (fever, cough and/or difficulty breathing).These figures are consistent with recently published research.However, they are a rough estimation based on self-reported symptoms and not on a medical diagnosis.
11. tests are needed.In terms of testing capabilities, over 6% of respondents reported not having been able to do the test due despite their doctor's recommendation.Moreover, a significant difference was found between those who had the more severe COVID-19 symptoms (6.5%, N=123,219) and those who didn't regarding their attitudes towards testing.Given these large percentages of population with symptoms, it is evident that there is a need for many more tests.

Conclusions and Future Work
The COVID-19 pandemic is undoubtedly impacting the lives of citizens.While there is abundant data regarding the number of reported cases, hospitalizations and intensive care patients and deaths, there is a scarcity of data about the individual experiences of people, their personal, financial and labor situations, their health state and their fears.This paper reports the first results of analyzing a large-scale, rich dataset of self-reported information regarding the social contact, economic impact, working situation and health status of over 140,000 individuals in Spain.It is probably one of the largest population surveys in a single country carried out in the context of an infectious disease pandemic.
The data is extremely rich and multi-faceted.Thus, it offers numerous avenues of future work and deeper analysis according to different dimensions, including location (at a zip code level) which we have not covered in this paper.
We plan to launch successive versions of the Covid19Impact survey on covid19impactsurvey.org in consecutive weeks throughout the COVID-19 pandemic, to assess the pulse of the virus from the perspective of citizens over time and assess changes in people's situations and perceptions regarding the virus.

Figure 1 .
Figure 1.Evolution of the number of answers collected by theCovid19survey over time, reported in 1-hour intervals.

Figure 2 .
Figure 2. Demographic (age and gender) distribution of the participants

Table 1 .
Most affected professions include retail, hospitality, manufacturing and other.Least affected are education and public administration.

Appendix 2: Summary of Responses Question 1
No, but I don't think I need it No, my doctor recommended it but there weren't any tests available Yes, I'm waiting for my result Yes, the result is I have COVID-19 Yes, the result is I don't have COVID-19 I prefer not to answer Only the answers from Spain with valid postal codes were used.