id |
ecaaderis2023_30 |
authors |
Fiuza, Rebeca, Barcelos, Letícia and Cardoso, Daniel |
year |
2023 |
title |
COVID-19 and the City: An Analysis of the Correlation between Urban and Social Factors and COVID-19 in Fortaleza, Brazil |
source |
De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 45–52 |
summary |
The COVID-19 pandemic has been the biggest sanitary crisis humanity has ever faced,
the virus has contaminated 662.717.929 people worldwide and killed 6.701.270 people.
However, these numbers were not distributed equally at international, national or urban
scale. In Fortaleza, Brazil, city studied in this paper, data from 2021 and 2022
epidemiologic reports suggest a contamination pattern that starts in neighborhoods with
higher Human Development Index (HDI) and then goes to lower HDI neighborhoods,
however, throughout all of this cycle, low HDI neighborhoods tend to have a higher
lethality rate. These facts raised the hypothesis that those neighborhoods have specific
urban and social factors that affect the capacity to respond and prevent COVID-19. The
main objective of this paper is to identify the correlation of some urban and social factors
with COVID-19 data. To achieve that, the authors selected seven variables (access to
water rate, literacy rate, waste collection rate, population density, access to electric
energy rate, sanitation rate and average monthly income) to correlate with four COVID-
19 indicators (total number of cases, total number of deaths, contamination rate and
lethality rate). For this, it was chosen to apply Spearman’s correlation coefficient and for
the calculation the statistical software Jamovi was used. The results show that the literacy
rate, the access to electric energy rate and average monthly income have a positive
correlation with the contamination rate, however these same variables have a negative
correlation with the lethality rate. |
keywords |
COVID-19, Urban Factors, Spearman's Coefficient Correlation, Public Health |
series |
eCAADe |
email |
rebeca.ffiuza@gmail.com |
full text |
file.pdf (384,056 bytes) |
references |
Content-type: text/plain
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last changed |
2024/02/05 14:28 |
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