@Article{CardosoSiFéCaCaViFr:2020:ChImSo,
author = "Cardoso, Evelin Helena Silva and Silva, Marcelino Silva da and
F{\'e}lix J{\'u}nior, Francisco Eguinaldo de Albuquerque and
Carvalho, Solon Ven{\^a}ncio de and Carvalho, Andr{\'e} Carlos
Ponce de Leon Ferreira de and Vijaykumar, Nandamudi Lankalapalli
and Franc{\^e}s, Carlos Renato Lisboa",
affiliation = "{Universidade Federal do Par{\'a} (UFPA)} and {Universidade
Federal do Par{\'a} (UFPA)} and {Universidade Federal do
Par{\'a} (UFPA)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade de S{\~a}o Paulo (USP)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
do Par{\'a} (UFPA)}",
title = "Characterizing the impact of social inequality on COVID-19
propagation in developing countries",
journal = "IEEE Access",
year = "2020",
volume = "8",
pages = "172563--172580",
keywords = "Sociology, Statistics, Indexes, Diseases, Faces, Pharmaceuticals,
COVID-19~propagation, social inequality, non-pharmaceutical
interventions, developing countries.",
abstract = "The world faces a pandemic not previously experienced in modern
times. The internal mechanism of SARS-Cov-2 is not well known and
there are no Pharmaceutical Interventions available. To stem the
spread of the virus, measures of respiratory etiquette, social
distancing and hand hygiene have been recommended. Based on these
measures, some countries have already managed to control the
COVID-19 propagation, although in the absence of pharmaceutical
interventions, this control is not definitive. However, we have
seen that social heterogeneity across populations makes the
effects of COVID-19 also different. Social inequality affects the
population of developing countries not only from an economic point
of view. The relationship between social inequality and the health
condition is not new, but it becomes even more evident in times of
crisis, such as the one the world has been facing with COVID-19.
How does social inequality affect the COVID-19 propagation in
developing countries is the object of this study. We propose a new
epidemic SEIR model based on social indicators to predict outbreak
and mortality of COVID-19. The estimated number of infected and
fatalities are compared with different levels of
Non-Pharmaceutical Interventions. We present a case study for the
Deep Brazil. The results showed that social inequality has a
strong effect on the propagation of COVID-19, increasing its
damage and accelerating the collapse of health infrastructure.",
doi = "10.1109/ACCESS.2020.3024910",
url = "http://dx.doi.org/10.1109/ACCESS.2020.3024910",
issn = "2169-3536",
language = "en",
targetfile = "cardoso_characterizing.pdf",
urlaccessdate = "2024, Apr. 29"
}