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3.4 METHODOLOGY DESCRIPTION
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Figure 12. Methodological steps
3.4 METHODOLOGY DESCRIPTION
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3.4.1 AN OVERVIEW
The present study had as its initial problem the development of a collaborative mapping
from an online survey, addressing issues with a quantitative and qualitative focus, related
to COVID-19 within a GIS context, something that was not observed in the initial months of
the pandemic. Thus, it is possible to interpret certain impacts related to the pandemic
beyond the advance of the number of cases and deaths related to COVID-19 in space and
time.
A first version of the mapping was carried out without defining a specific study area, testing
the tool’s functionality, and collecting feedback from respondents, having been
disseminated on the main social media platforms, such as WhatsApp, LinkedIn, Instagram,
and Facebook.
3.4.2 ONLINE SURVEY ELABORATION
The primary data used in this research were obtained through independent and
collaborative mapping. The steps in obtaining these data are described below.
As aforementioned, several platforms were monitoring the evolution of the pandemic in
space and time as soon as the WHO declared it. However, there was no follow-up research
focused on the impacts to people's daily lives. In this context, an online survey was
developed on Survey123 Connect for ArcGIS, with questions structured in different possible
answer formats, such as single choice or multiple-choice answers. An inserted question
asked for the interviewee's location, which then generated a coordinate (x, y).
For later integration with a Dashboard for ArcGIS, a decision was made to develop the
questionnaire in XLSForm, as explained in item 2.6.1, because it is a more sophisticated
way to develop the questionnaire in Survey123. The main question that guided the
questionnaire was: "How has COVID-19 affected you?", followed by the questions
elaborated in XLSForm. Thus, some questions were asked about how the pandemic was
affecting people's lives. In Figure 13a below, it is possible to view the survey creation
environment in Survey123 Connect, as well as the XLSForm in which the questions were
developed (Figure 13b).
(a)
(b)
Figure 13. Survey123 Connect (a) and XLSForm (b)
The questionnaire was incorporated in a link into a Story Map, which provided some
information about the pandemic (Silva, 2020a). The WHO dashboard related to the
pandemic was embedded in the Story Map as a source of information about cases and
deaths of COVID-19 worldwide.
Figure 14. Story Map which brings the survey
At the end of the Story Map, a dashboard was presented, and it was being fed by the
answered questionnaires in real-time. As previously mentioned, to be able to integrate the
dashboard with the survey data, it was necessary to develop it in XLSForm, as two questions
were multiple-choice, in which the interviewee could answer more than one option. Thus,
if the questionnaire was created in Survey123 using the web designer, these fields would
become text fields (esriFieldTypeString), making integration with the dashboard impossible
without manipulating the data. Thus, in order not to require manual data update, the
XLSForm was created. The dashboard created (Figure 15) addressed the questions inserted
in the questionnaire, and the variables had filters between them, which could make the
visualization more interesting for those who were manipulating the data.
The management of data obtained in the survey, story map, and the dashboard was carried
out in ArcGIS Online.
Figure 15. Real-time dashboard
As explained, the first round of the survey did not have a specific area of interest and was
disclosed through social media. With the first data obtained, the initiative was described in
an article published on a geotechnology portal (Silva, 2020b).
From the beginning, the research was open to contributions. Thus, after the first round and
disclosure, feedback was given by them to improve some questions. There was also
reinforcement in the dissemination part through a research group from Veiga de Almeida
University (UVA), members of the Geospatial Studies Laboratory (LEGO) in Rio de Janeiro.
In this way, after some specific research adjustments, a new round was made, focusing on
data collection in Rio de Janeiro. The research was then applied between April 07 and May
11, 2020. The 15 questions asked and the types of each question are shown in Figure 16
below. All questions were mandatory.
How has COVID-19 affected you?
(The objective of this survey is to map how the coronavirus has affected people's lives, what are the impacts and the needs that the population has felt) How old are you? Up to 25 years Between 25 - 35 years Between 45 - 60 years More than 60 years
Between 35 - 45 years Gender? Female I prefer not to inform
Male How many people with whom you have had personal contact have contracted the coronavirus (including you)? These may be unconfirmed suspected cases I didn't get the disease and I don't know anyone who got it Two people
One person Three or more people Are there deaths related to the disease in your personal circle? These may be unconfirmed suspected cases There are not Yes, two people
Yes, one person Do you find yourself in quarantine (it may be self-isolation)? Yes No
If so, since when? What is your main source of income? Salaried with stability Salaried without stability Self-employed Informal worker Retired Unemployed
Entrepreneur What is your average family income bracket? I don't have income Up to 1 minimum wage 5 to 10 minimum wages More than 10 minimum wages
1 to 5 minimum wages Did the consequences of the pandemic impact you financially? If so, how much? No Up to 1 minimum wage 5 to 10 minimum wages More than 10 minimum wages
1 to 5 minimum wages Do you contribute financially to services you used before the pandemic that you are no longer using? Domestic services (cleaning, gardening, others), gym, schools, therapies, etc. Yes No Have you been looking to consume from local merchants? Yes No Would you say the pandemic has put you in a delicate financial position? Yes No From the following items, select the ones which were hampered after the onset of the disease. Health Care Financial resources Physical activities Recreation
Food Transport Assistance from Other People (family members, employees) Academic/School Activities Labor Activity
Other
Hygiene Items None What have you been feeling after the disease started? Anxiety Sadness
Depression Loneliness Fear Other
Concern
Anguish
What is your location? Figure 16. Survey’s questions.
None
Type
Single choice from drop-down list
Single choice
Single choice
Single choice
Single choice
Date
Single choice
Single choice
Single choice
Single choice
Single choice
Single choice
Multiple-choice
Multiple-choice
Map
3.4.3 TREATMENT OF DATA OBTAINED
The primary data obtained in the online survey are already spatialized. However, it is
necessary to verify the data obtained both exclusively in the municipality of Rio de Janeiro
and in the period of interest between April 7 and May 11, 2020. It is essential to clarify that,
from the beginning, it was not intended to constitute a representative sample of the city
of Rio de Janeiro nor to impose a geographical limitation, which results in this first analysis
and filtering of the data obtained.
These data will be segmented according to the geographic division of the city's planning
areas, which is information provided by the city hall of Rio de Janeiro. Thus, some analyzes
and mappings will be carried out with the results obtained in the research.
Besides, it is necessary to add some demographic and socioeconomic data to this
segmentation (Urban & Nakada, 2020) and the official data related to COVID-19 to verify
the adherence between the data obtained in the mapping and the variables related to
these data observed in reality. For this analysis, mapping and a scatterplot matrix will be
built in ArcGIS Pro in order to evaluate the relationships between variables.
As previously explained, the data used with the demographic information of the Rio de
Janeiro population will be obtained on the geospatial basis of the 16 planning regions of
the city that were geoenriched with data from 2018.
Finally, some qualitative questions in the questionnaire are not addressed by official data
related to the pandemic and in another GIS visualization. Thus, this information can be
verified through the interest of people over time, observed in the search for certain
subjects on Google, via Google Trends (Biasi, 2020), seeking the gradual evolution of words
related to mental health after the arrival of the pandemic. For example, it can be a way to
assess which feelings were arisen in the population due to COVID-19.